{"diffoscope-json-version": 1, "source1": "/srv/reproducible-results/rbuild-debian/r-b-build.rhIqhyEd/b1/car_3.1-2-1_i386.changes", "source2": "/srv/reproducible-results/rbuild-debian/r-b-build.rhIqhyEd/b2/car_3.1-2-1_i386.changes", "unified_diff": null, "details": [{"source1": "Files", "source2": "Files", "unified_diff": "@@ -1,2 +1,2 @@\n \n- 9eb587c78c8499e807814024e0b036cd 1703192 gnu-r optional r-cran-car_3.1-2-1_all.deb\n+ c2d7dd4dfdd7cde43cf821afb106d89e 1703100 gnu-r optional r-cran-car_3.1-2-1_all.deb\n"}, {"source1": "r-cran-car_3.1-2-1_all.deb", "source2": "r-cran-car_3.1-2-1_all.deb", "unified_diff": null, "details": [{"source1": "file list", "source2": "file list", "unified_diff": "@@ -1,3 +1,3 @@\n -rw-r--r-- 0 0 0 4 2023-04-06 03:31:16.000000 debian-binary\n -rw-r--r-- 0 0 0 1596 2023-04-06 03:31:16.000000 control.tar.xz\n--rw-r--r-- 0 0 0 1701404 2023-04-06 03:31:16.000000 data.tar.xz\n+-rw-r--r-- 0 0 0 1701312 2023-04-06 03:31:16.000000 data.tar.xz\n"}, {"source1": "control.tar.xz", "source2": "control.tar.xz", "unified_diff": null, "details": [{"source1": "control.tar", "source2": "control.tar", "unified_diff": null, "details": [{"source1": "./control", "source2": "./control", "unified_diff": "@@ -1,13 +1,13 @@\n Package: r-cran-car\n Source: car\n Version: 3.1-2-1\n Architecture: all\n Maintainer: Dirk Eddelbuettel \n-Installed-Size: 1823\n+Installed-Size: 1824\n Depends: r-base-core (>= 4.2.2.20221110-2), r-api-4.0, r-cran-cardata (>= 3.0-0), r-cran-abind, r-cran-mass, r-cran-mgcv, r-cran-nnet, r-cran-pbkrtest (>= 0.4-4), r-cran-quantreg, r-cran-lme4 (>= 1.1-27.1), r-cran-nlme, r-cran-scales, r-cran-maptools, r-cran-rio\n Section: gnu-r\n Priority: optional\n Homepage: https://cran.r-project.org/package=car\n Description: GNU R Companion to Applied Regression by John Fox\n This package accompanies J. Fox, An R and S-PLUS Companion to Applied\n Regression, Sage, 2002. The package contains mostly functions for applied\n"}, {"source1": "./md5sums", "source2": "./md5sums", "unified_diff": null, "details": [{"source1": "./md5sums", "source2": "./md5sums", "comments": ["Files differ"], "unified_diff": null}]}]}]}, {"source1": "data.tar.xz", "source2": "data.tar.xz", "unified_diff": null, "details": [{"source1": "data.tar", "source2": "data.tar", "unified_diff": null, "details": [{"source1": "file list", "source2": "file list", "unified_diff": "@@ -15,27 +15,27 @@\n -rw-r--r-- 0 root (0) root (0) 2793 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/Meta/nsInfo.rds\n -rw-r--r-- 0 root (0) root (0) 1980 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/Meta/package.rds\n -rw-r--r-- 0 root (0) root (0) 218 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/Meta/vignette.rds\n -rw-r--r-- 0 root (0) root (0) 10896 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/NAMESPACE\n -rw-r--r-- 0 root (0) root (0) 44220 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/NEWS\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/R/\n -rw-r--r-- 0 root (0) root (0) 1058 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/R/car\n--rw-r--r-- 0 root (0) root (0) 939580 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/R/car.rdb\n--rw-r--r-- 0 root (0) root (0) 6329 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/R/car.rdx\n+-rw-r--r-- 0 root (0) root (0) 939582 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/R/car.rdb\n+-rw-r--r-- 0 root (0) root (0) 6326 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/R/car.rdx\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/doc/\n -rw-r--r-- 0 root (0) root (0) 2358 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/doc/embedding.R\n -rw-r--r-- 0 root (0) root (0) 5259 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/doc/embedding.Rnw\n -rw-r--r-- 0 root (0) root (0) 255932 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/doc/embedding.pdf\n -rw-r--r-- 0 root (0) root (0) 1391 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/doc/index.html\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/help/\n -rw-r--r-- 0 root (0) root (0) 9154 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/help/AnIndex\n -rw-r--r-- 0 root (0) root (0) 2588 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/help/aliases.rds\n--rw-r--r-- 0 root (0) root (0) 421831 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/help/car.rdb\n+-rw-r--r-- 0 root (0) root (0) 422121 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/help/car.rdb\n -rw-r--r-- 0 root (0) root (0) 1712 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/help/car.rdx\n--rw-r--r-- 0 root (0) root (0) 725 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/help/paths.rds\n+-rw-r--r-- 0 root (0) root (0) 727 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/help/paths.rds\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/html/\n -rw-r--r-- 0 root (0) root (0) 53139 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/html/00Index.html\n -rw-r--r-- 0 root (0) root (0) 1735 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/html/R.css\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/misc/\n -rw-r--r-- 0 root (0) root (0) 49790 2023-04-06 03:31:16.000000 ./usr/lib/R/site-library/car/misc/car-hex.pdf\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-06 03:31:16.000000 ./usr/share/\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-06 03:31:16.000000 ./usr/share/doc/\n"}, {"source1": "./usr/lib/R/site-library/car/R/car.rdb", "source2": "./usr/lib/R/site-library/car/R/car.rdb", "unified_diff": null, "details": [{"source1": "Rscript --vanilla - {}", "source2": "Rscript --vanilla - {}", "unified_diff": "@@ -46,15 +46,15 @@\n \"imports\" = \" residuals = \"residuals\", rnorm = \"rnorm\", rstandard = \"rstandard\", \"\n \"imports\" = \" rstudent = \"rstudent\", sd = \"sd\", setNames = \"setNames\", \"\n \"imports\" = \" spline = \"spline\", summary.lm = \"summary.lm\", terms = \"terms\", \"\n \"imports\" = \" update = \"update\", var = \"var\", vcov = \"vcov\", weights = \"weights\", \"\n \"imports\" = \" optimHess = \"optimHess\"), utils = c(browseURL = \"browseURL\", \"\n \"imports\" = \" head = \"head\", methods = \"methods\"))\"\n \"lazydata\" = \"\"\n- \"path\" = \"\"/build/1st/car-3.1-2/debian/r-cran-car/usr/lib/R/site-library/car\"\"\n+ \"path\" = \"\"/build/2/car-3.1-2/2nd/debian/r-cran-car/usr/lib/R/site-library/car\"\"\n \"spec\" = \"c(name = \"car\", version = \"3.1-2\")\"\n }\n \n .__S3MethodsTable__. (environment) = \n {\n }\n \n"}]}, {"source1": "./usr/lib/R/site-library/car/R/car.rdx", "source2": "./usr/lib/R/site-library/car/R/car.rdx", "unified_diff": null, "details": [{"source1": "car.rdx-content", "source2": "car.rdx-content", "unified_diff": null, "details": [{"source1": "Rscript --vanilla -e 'args <- commandArgs(TRUE); readRDS(args[1])' {}", "source2": "Rscript --vanilla -e 'args <- commandArgs(TRUE); readRDS(args[1])' {}", "unified_diff": "@@ -1,1543 +1,1543 @@\n $variables\n $variables$.__NAMESPACE__.\n-[1] 1573 62\n+[1] 1575 62\n \n $variables$.__S3MethodsTable__.\n-[1] 1775 62\n+[1] 1777 62\n \n $variables$.__global__\n-[1] 1837 69\n+[1] 1839 69\n \n $variables$.carEnv\n-[1] 2046 62\n+[1] 2048 62\n \n $variables$.packageName\n-[1] 2108 57\n+[1] 2110 57\n \n $variables$Anova\n-[1] 2165 205\n+[1] 2167 205\n \n $variables$Anova.II.F.glm\n-[1] 2370 5470\n+[1] 2372 5470\n \n $variables$Anova.II.LR.coxme\n-[1] 7840 3280\n+[1] 7842 3280\n \n $variables$Anova.II.LR.coxph\n-[1] 11120 3400\n+[1] 11122 3400\n \n $variables$Anova.II.LR.glm\n-[1] 14520 3956\n+[1] 14522 3956\n \n $variables$Anova.II.LR.survreg\n-[1] 18476 4085\n+[1] 18478 4085\n \n $variables$Anova.II.default\n-[1] 22561 7042\n+[1] 22563 7042\n \n $variables$Anova.II.lm\n-[1] 29603 5412\n+[1] 29605 5412\n \n $variables$Anova.II.lme\n-[1] 35015 4884\n+[1] 35017 4884\n \n $variables$Anova.II.mer\n-[1] 39899 5408\n+[1] 39901 5408\n \n $variables$Anova.II.mlm\n-[1] 45307 8385\n+[1] 45309 8385\n \n $variables$Anova.II.multinom\n-[1] 53692 3146\n+[1] 53694 3146\n \n $variables$Anova.II.polr\n-[1] 56838 3062\n+[1] 56840 3062\n \n $variables$Anova.III.F.glm\n-[1] 59900 3880\n+[1] 59902 3880\n \n $variables$Anova.III.LR.coxph\n-[1] 63780 2774\n+[1] 63782 2774\n \n $variables$Anova.III.LR.glm\n-[1] 66554 2408\n+[1] 66556 2408\n \n $variables$Anova.III.LR.survreg\n-[1] 68962 3456\n+[1] 68964 3456\n \n $variables$Anova.III.default\n-[1] 72418 5532\n+[1] 72420 5532\n \n $variables$Anova.III.lm\n-[1] 77950 3810\n+[1] 77952 3810\n \n $variables$Anova.III.lme\n-[1] 81760 3770\n+[1] 81762 3770\n \n $variables$Anova.III.mer\n-[1] 85530 4097\n+[1] 85532 4097\n \n $variables$Anova.III.mlm\n-[1] 89627 5669\n+[1] 89629 5669\n \n $variables$Anova.III.multinom\n-[1] 95296 2224\n+[1] 95298 2224\n \n $variables$Anova.III.polr\n-[1] 97520 2139\n+[1] 97522 2139\n \n $variables$Anova.Wald.survreg\n-[1] 99659 862\n+[1] 99661 862\n \n $variables$Anova.aov\n-[1] 100521 346\n+[1] 100523 346\n \n $variables$Anova.coxme\n-[1] 100867 937\n+[1] 100869 937\n \n $variables$Anova.coxph\n-[1] 101804 1683\n+[1] 101806 1683\n \n $variables$Anova.default\n-[1] 103487 1314\n+[1] 103489 1314\n \n $variables$Anova.glm\n-[1] 104801 2109\n+[1] 104803 2109\n \n $variables$Anova.lm\n-[1] 106910 3222\n+[1] 106912 3222\n \n $variables$Anova.lme\n-[1] 110132 1015\n+[1] 110134 1015\n \n $variables$Anova.manova\n-[1] 111147 365\n+[1] 111149 365\n \n $variables$Anova.mer\n-[1] 111512 929\n+[1] 111514 929\n \n $variables$Anova.merMod\n-[1] 112441 1129\n+[1] 112443 1129\n \n $variables$Anova.mlm\n-[1] 113570 1649\n+[1] 113572 1649\n \n $variables$Anova.multinom\n-[1] 115219 937\n+[1] 115221 937\n \n $variables$Anova.polr\n-[1] 116156 933\n+[1] 116158 933\n \n $variables$Anova.rlm\n-[1] 117089 274\n+[1] 117091 274\n \n $variables$Anova.survreg\n-[1] 117363 1554\n+[1] 117365 1554\n \n $variables$Anova.svycoxph\n-[1] 118917 477\n+[1] 118919 477\n \n $variables$Anova.svyglm\n-[1] 119394 238\n+[1] 119396 238\n \n $variables$Boot\n-[1] 119632 293\n+[1] 119634 293\n \n $variables$Boot.default\n-[1] 119925 5729\n+[1] 119927 5729\n \n $variables$Boot.glm\n-[1] 125654 970\n+[1] 125656 970\n \n $variables$Boot.lm\n-[1] 126624 693\n+[1] 126626 693\n \n $variables$Boot.nls\n-[1] 127317 5938\n+[1] 127319 5938\n \n $variables$Boxplot\n-[1] 133255 534\n+[1] 133257 534\n \n $variables$Boxplot.data.frame\n-[1] 133789 1397\n+[1] 133791 1397\n \n $variables$Boxplot.default\n-[1] 135186 6557\n+[1] 135188 6557\n \n $variables$Boxplot.formula\n-[1] 141743 3588\n+[1] 141745 3588\n \n $variables$Boxplot.list\n-[1] 145331 732\n+[1] 145333 732\n \n $variables$Boxplot.matrix\n-[1] 146063 284\n+[1] 146065 284\n \n $variables$Confint\n-[1] 146347 208\n+[1] 146349 208\n \n $variables$Confint.boot\n-[1] 146555 922\n+[1] 146557 922\n \n $variables$Confint.default\n-[1] 147477 1401\n+[1] 147479 1401\n \n $variables$Confint.glm\n-[1] 148878 2168\n+[1] 148880 2168\n \n $variables$Confint.glmerMod\n-[1] 151046 2076\n+[1] 151048 2076\n \n $variables$Confint.lm\n-[1] 153122 1980\n+[1] 153124 1980\n \n $variables$Confint.lme\n-[1] 155102 1439\n+[1] 155104 1439\n \n $variables$Confint.lmerMod\n-[1] 156541 1472\n+[1] 156543 1472\n \n $variables$Confint.multinom\n-[1] 158013 1615\n+[1] 158015 1615\n \n $variables$Confint.polr\n-[1] 159628 2141\n+[1] 159630 2141\n \n $variables$ConjComp\n-[1] 161769 690\n+[1] 161771 690\n \n $variables$Export\n-[1] 162459 1455\n+[1] 162461 1455\n \n $variables$HL\n-[1] 163914 878\n+[1] 163916 878\n \n $variables$Identify3d\n-[1] 164792 3757\n+[1] 164794 3757\n \n $variables$Import\n-[1] 168549 2765\n+[1] 168551 2765\n \n $variables$Manova\n-[1] 171314 201\n+[1] 171316 201\n \n $variables$Manova.mlm\n-[1] 171515 241\n+[1] 171517 241\n \n $variables$Pillai\n-[1] 171756 943\n+[1] 171758 943\n \n $variables$Predict\n-[1] 172699 472\n+[1] 172701 472\n \n $variables$Predict.lm\n-[1] 173171 11294\n+[1] 173173 11294\n \n $variables$Recode\n-[1] 184465 222\n+[1] 184467 222\n \n $variables$Roy\n-[1] 184687 506\n+[1] 184689 506\n \n $variables$S\n-[1] 185193 208\n+[1] 185195 208\n \n $variables$S.data.frame\n-[1] 185401 424\n+[1] 185403 424\n \n $variables$S.default\n-[1] 185825 245\n+[1] 185827 245\n \n $variables$S.glm\n-[1] 186070 5331\n+[1] 186072 5331\n \n $variables$S.glmerMod\n-[1] 191401 1439\n+[1] 191403 1439\n \n $variables$S.lm\n-[1] 192840 7081\n+[1] 192842 7081\n \n $variables$S.lme\n-[1] 199921 1102\n+[1] 199923 1102\n \n $variables$S.lmerMod\n-[1] 201023 3141\n+[1] 201025 3141\n \n $variables$S.multinom\n-[1] 204164 695\n+[1] 204166 695\n \n $variables$S.polr\n-[1] 204859 741\n+[1] 204861 741\n \n $variables$Tapply\n-[1] 205600 959\n+[1] 205602 959\n \n $variables$Wilks\n-[1] 206559 1107\n+[1] 206561 1107\n \n $variables$adaptiveKernel\n-[1] 207666 2749\n+[1] 207668 2749\n \n $variables$alias.coxme\n-[1] 210415 408\n+[1] 210417 408\n \n $variables$alias.coxph\n-[1] 210823 408\n+[1] 210825 408\n \n $variables$alias.survreg\n-[1] 211231 491\n+[1] 211233 491\n \n $variables$applyDefaults\n-[1] 211722 995\n+[1] 211724 995\n \n $variables$as.data.frame.univaov\n-[1] 212717 2848\n+[1] 212719 2848\n \n $variables$assignVector\n-[1] 215565 190\n+[1] 215567 190\n \n $variables$assignVector.default\n-[1] 215755 729\n+[1] 215757 729\n \n $variables$assignVector.svyolr\n-[1] 216484 406\n+[1] 216486 406\n \n $variables$av.plot\n-[1] 216890 243\n+[1] 216892 243\n \n $variables$av.plots\n-[1] 217133 244\n+[1] 217135 244\n \n $variables$avPlot\n-[1] 217377 187\n+[1] 217379 187\n \n $variables$avPlot.glm\n-[1] 217564 4822\n+[1] 217566 4822\n \n $variables$avPlot.lm\n-[1] 222386 5291\n+[1] 222388 5291\n \n $variables$avPlot3d\n-[1] 227677 226\n+[1] 227679 226\n \n $variables$avPlot3d.glm\n-[1] 227903 1958\n+[1] 227905 1958\n \n $variables$avPlot3d.lm\n-[1] 229861 1520\n+[1] 229863 1520\n \n $variables$avPlots\n-[1] 231381 205\n+[1] 231383 205\n \n $variables$avPlots.default\n-[1] 231586 3146\n+[1] 231588 3146\n \n $variables$avp\n-[1] 234732 182\n+[1] 234734 182\n \n $variables$basicPower\n-[1] 234914 2163\n+[1] 234916 2163\n \n $variables$basicPowerAxis\n-[1] 237077 2241\n+[1] 237079 2241\n \n $variables$bc\n-[1] 239318 244\n+[1] 239320 244\n \n $variables$bcPower\n-[1] 239562 2281\n+[1] 239564 2281\n \n $variables$bcPowerAxis\n-[1] 241843 2444\n+[1] 241845 2444\n \n $variables$bcn.sv\n-[1] 244287 6404\n+[1] 244289 6404\n \n $variables$bcnPower\n-[1] 250691 3188\n+[1] 250693 3188\n \n $variables$bcnPowerAxis\n-[1] 253879 2217\n+[1] 253881 2217\n \n $variables$bcnPowerInverse\n-[1] 256096 605\n+[1] 256098 605\n \n $variables$bcnPowerllik\n-[1] 256701 1112\n+[1] 256703 1112\n \n $variables$bootCase\n-[1] 257813 283\n+[1] 257815 283\n \n $variables$bootCase.default\n-[1] 258096 2032\n+[1] 258098 2032\n \n $variables$bootCase.glm\n-[1] 260128 294\n+[1] 260130 294\n \n $variables$bootCase.lm\n-[1] 260422 373\n+[1] 260424 373\n \n $variables$bootCase.nls\n-[1] 260795 409\n+[1] 260797 409\n \n $variables$box.cox\n-[1] 261204 244\n+[1] 261206 244\n \n $variables$box.cox.powers\n-[1] 261448 252\n+[1] 261450 252\n \n $variables$box.cox.var\n-[1] 261700 252\n+[1] 261702 252\n \n $variables$box.tidwell\n-[1] 261952 248\n+[1] 261954 248\n \n $variables$boxCox\n-[1] 262200 190\n+[1] 262202 190\n \n $variables$boxCox.default\n-[1] 262390 6386\n+[1] 262392 6386\n \n $variables$boxCox.formula\n-[1] 268776 581\n+[1] 268778 581\n \n $variables$boxCox.lm\n-[1] 269357 650\n+[1] 269359 650\n \n $variables$boxCox2d\n-[1] 270007 2729\n+[1] 270009 2729\n \n $variables$boxCoxVariable\n-[1] 272736 420\n+[1] 272738 420\n \n $variables$boxTidwell\n-[1] 273156 204\n+[1] 273158 204\n \n $variables$boxTidwell.default\n-[1] 273360 3695\n+[1] 273362 3695\n \n $variables$boxTidwell.formula\n-[1] 277055 2047\n+[1] 277057 2047\n \n $variables$brief\n-[1] 279102 379\n+[1] 279104 379\n \n $variables$brief.character\n-[1] 279481 1330\n+[1] 279483 1330\n \n $variables$brief.data.frame\n-[1] 280811 9012\n+[1] 280813 9012\n \n $variables$brief.default\n-[1] 289823 1644\n+[1] 289825 1644\n \n $variables$brief.factor\n-[1] 291467 1407\n+[1] 291469 1407\n \n $variables$brief.function\n-[1] 292874 1293\n+[1] 292876 1293\n \n $variables$brief.glm\n-[1] 294167 3370\n+[1] 294169 3370\n \n $variables$brief.integer\n-[1] 297537 1330\n+[1] 297539 1330\n \n $variables$brief.list\n-[1] 298867 1521\n+[1] 298869 1521\n \n $variables$brief.lm\n-[1] 300388 2244\n+[1] 300390 2244\n \n $variables$brief.matrix\n-[1] 302632 379\n+[1] 302634 379\n \n $variables$brief.multinom\n-[1] 303011 3438\n+[1] 303013 3438\n \n $variables$brief.numeric\n-[1] 306449 1330\n+[1] 306451 1330\n \n $variables$brief.polr\n-[1] 307779 2374\n+[1] 307781 2374\n \n $variables$brief.tbl\n-[1] 310153 250\n+[1] 310155 250\n \n $variables$brief.vector\n-[1] 310403 1330\n+[1] 310405 1330\n \n $variables$car.select3d\n-[1] 311733 1793\n+[1] 311735 1793\n \n $variables$carHexsticker\n-[1] 313526 348\n+[1] 313528 348\n \n $variables$carPal\n-[1] 313874 1385\n+[1] 313876 1385\n \n $variables$carPalette\n-[1] 315603 734\n+[1] 315605 734\n \n $variables$carWeb\n-[1] 316337 3430\n+[1] 316339 3430\n \n $variables$ceres.plot\n-[1] 319767 245\n+[1] 319769 245\n \n $variables$ceres.plots\n-[1] 320012 246\n+[1] 320014 246\n \n $variables$ceresPlot\n-[1] 320258 205\n+[1] 320260 205\n \n $variables$ceresPlot.glm\n-[1] 320463 249\n+[1] 320465 249\n \n $variables$ceresPlot.lm\n-[1] 320712 8561\n+[1] 320714 8561\n \n $variables$ceresPlots\n-[1] 329273 207\n+[1] 329275 207\n \n $variables$ceresPlots.default\n-[1] 329480 3466\n+[1] 329482 3466\n \n $variables$check.imatrix\n-[1] 332946 866\n+[1] 332948 866\n \n $variables$coef.bcnPowerTransform\n-[1] 333812 873\n+[1] 333814 873\n \n $variables$coef.multinom\n-[1] 334685 1982\n+[1] 334687 1982\n \n $variables$coef.powerTransform\n-[1] 336667 308\n+[1] 336669 308\n \n $variables$coef.svyolr\n-[1] 336975 186\n+[1] 336977 186\n \n $variables$coefnames2bs\n-[1] 337161 1560\n+[1] 337163 1560\n \n $variables$coefs2use\n-[1] 338721 1379\n+[1] 338723 1379\n \n $variables$colscale\n-[1] 340100 1353\n+[1] 340102 1353\n \n $variables$combineLists\n-[1] 341453 2935\n+[1] 341455 2935\n \n $variables$compareCoefs\n-[1] 344388 13991\n+[1] 344390 13991\n \n $variables$confidence.ellipse\n-[1] 358379 255\n+[1] 358381 255\n \n $variables$confidenceEllipse\n-[1] 358634 215\n+[1] 358636 215\n \n $variables$confidenceEllipse.default\n-[1] 358849 2785\n+[1] 358851 2785\n \n $variables$confidenceEllipse.glm\n-[1] 361634 525\n+[1] 361636 525\n \n $variables$confidenceEllipse.lm\n-[1] 362159 2853\n+[1] 362161 2853\n \n $variables$confidenceEllipse.mlm\n-[1] 365012 743\n+[1] 365014 743\n \n $variables$confidenceEllipses\n-[1] 365755 216\n+[1] 365757 216\n \n $variables$confidenceEllipses.default\n-[1] 365971 2424\n+[1] 365973 2424\n \n $variables$confidenceEllipses.mlm\n-[1] 368395 694\n+[1] 368397 694\n \n $variables$confint.boot\n-[1] 369089 3467\n+[1] 369091 3467\n \n $variables$contr.Helmert\n-[1] 372556 2094\n+[1] 372558 2094\n \n $variables$contr.Sum\n-[1] 374650 1991\n+[1] 374652 1991\n \n $variables$contr.Treatment\n-[1] 376641 1773\n+[1] 376643 1773\n \n $variables$cookd\n-[1] 378414 252\n+[1] 378416 252\n \n $variables$cooks.distance.influence.lme\n-[1] 378666 886\n+[1] 378668 886\n \n $variables$cr.plot\n-[1] 379552 243\n+[1] 379554 243\n \n $variables$cr.plots\n-[1] 379795 244\n+[1] 379797 244\n \n $variables$crPlot\n-[1] 380039 204\n+[1] 380041 204\n \n $variables$crPlot.lm\n-[1] 380243 5871\n+[1] 380245 5871\n \n $variables$crPlot3d\n-[1] 386114 216\n+[1] 386116 216\n \n $variables$crPlot3d.lm\n-[1] 386330 12005\n+[1] 386332 12005\n \n $variables$crPlots\n-[1] 398335 205\n+[1] 398337 205\n \n $variables$crPlots.default\n-[1] 398540 2989\n+[1] 398542 2989\n \n $variables$crp\n-[1] 401529 182\n+[1] 401531 182\n \n $variables$data.ellipse\n-[1] 401711 247\n+[1] 401713 247\n \n $variables$dataEllipse\n-[1] 401958 8359\n+[1] 401960 8359\n \n $variables$dbiwt\n-[1] 410317 476\n+[1] 410319 476\n \n $variables$default.arg\n-[1] 410793 301\n+[1] 410795 301\n \n $variables$deltaMethod\n-[1] 411094 208\n+[1] 411096 208\n \n $variables$deltaMethod.coxph\n-[1] 411302 381\n+[1] 411304 381\n \n $variables$deltaMethod.default\n-[1] 411683 3900\n+[1] 411685 3900\n \n $variables$deltaMethod.lm\n-[1] 415583 624\n+[1] 415585 624\n \n $variables$deltaMethod.lmList\n-[1] 416207 655\n+[1] 416209 655\n \n $variables$deltaMethod.lme\n-[1] 416862 590\n+[1] 416864 590\n \n $variables$deltaMethod.mer\n-[1] 417452 590\n+[1] 417454 590\n \n $variables$deltaMethod.merMod\n-[1] 418042 406\n+[1] 418044 406\n \n $variables$deltaMethod.multinom\n-[1] 418448 1566\n+[1] 418450 1566\n \n $variables$deltaMethod.nls\n-[1] 420014 465\n+[1] 420016 465\n \n $variables$deltaMethod.polr\n-[1] 420479 582\n+[1] 420481 582\n \n $variables$deltaMethod.survreg\n-[1] 421061 796\n+[1] 421063 796\n \n $variables$densityPlot\n-[1] 421857 206\n+[1] 421859 206\n \n $variables$densityPlot.default\n-[1] 422063 7471\n+[1] 422065 7471\n \n $variables$densityPlot.formula\n-[1] 429534 2500\n+[1] 429536 2500\n \n $variables$depan\n-[1] 432034 432\n+[1] 432036 432\n \n $variables$df.residual.coxph\n-[1] 432466 353\n+[1] 432468 353\n \n $variables$df.residual.lme\n-[1] 432819 167\n+[1] 432821 167\n \n $variables$df.residual.mer\n-[1] 432986 159\n+[1] 432988 159\n \n $variables$df.residual.rlm\n-[1] 433145 634\n+[1] 433147 634\n \n $variables$df.terms\n-[1] 433779 211\n+[1] 433781 211\n \n $variables$df.terms.default\n-[1] 433990 1356\n+[1] 433992 1356\n \n $variables$df.terms.multinom\n-[1] 435346 1508\n+[1] 435348 1508\n \n $variables$df.terms.polr\n-[1] 436854 1239\n+[1] 436856 1239\n \n $variables$df.terms.survreg\n-[1] 438093 1408\n+[1] 438095 1408\n \n $variables$dfbeta.influence.lme\n-[1] 439501 759\n+[1] 439503 759\n \n $variables$dfbetaPlots\n-[1] 440260 209\n+[1] 440262 209\n \n $variables$dfbetaPlots.lm\n-[1] 440469 4065\n+[1] 440471 4065\n \n $variables$dfbetas.influence.lme\n-[1] 444534 526\n+[1] 444536 526\n \n $variables$dfbetasPlots\n-[1] 445060 210\n+[1] 445062 210\n \n $variables$dfbetasPlots.lm\n-[1] 445270 3892\n+[1] 445272 3892\n \n $variables$durbin.watson\n-[1] 449162 250\n+[1] 449164 250\n \n $variables$durbinWatsonTest\n-[1] 449412 213\n+[1] 449414 213\n \n $variables$durbinWatsonTest.default\n-[1] 449625 1129\n+[1] 449627 1129\n \n $variables$durbinWatsonTest.lm\n-[1] 450754 3362\n+[1] 450756 3362\n \n $variables$dwt\n-[1] 454116 190\n+[1] 454118 190\n \n $variables$ellipse\n-[1] 454306 4064\n+[1] 454308 4064\n \n $variables$ellipsoid\n-[1] 458370 2103\n+[1] 458372 2103\n \n $variables$envelope\n-[1] 460473 937\n+[1] 460475 937\n \n $variables$estimateTransform\n-[1] 461410 501\n+[1] 461412 501\n \n $variables$estimateTransform.bcnPower\n-[1] 461911 7103\n+[1] 461913 7103\n \n $variables$estimateTransform.bcnPowerlmer\n-[1] 469014 5328\n+[1] 469016 5328\n \n $variables$estimateTransform.default\n-[1] 474342 4010\n+[1] 474344 4010\n \n $variables$estimateTransform.lmerMod\n-[1] 478352 2825\n+[1] 478354 2825\n \n $variables$exists.method\n-[1] 481177 694\n+[1] 481179 694\n \n $variables$find.legend.columns\n-[1] 481871 461\n+[1] 481873 461\n \n $variables$fitstats\n-[1] 482332 600\n+[1] 482334 600\n \n $variables$fixef\n-[1] 482932 513\n+[1] 482934 513\n \n $variables$format.perc\n-[1] 483445 399\n+[1] 483447 399\n \n $variables$formatCall\n-[1] 483844 1261\n+[1] 483846 1261\n \n $variables$formatCompareCoefs\n-[1] 485105 2180\n+[1] 485107 2180\n \n $variables$gamLine\n-[1] 487285 6761\n+[1] 487287 6761\n \n $variables$getModelData\n-[1] 494046 1382\n+[1] 494048 1382\n \n $variables$getVcov\n-[1] 495428 788\n+[1] 495430 788\n \n $variables$has.intercept\n-[1] 496216 211\n+[1] 496218 211\n \n $variables$has.intercept.default\n-[1] 496427 329\n+[1] 496429 329\n \n $variables$has.intercept.lme\n-[1] 496756 335\n+[1] 496758 335\n \n $variables$has.intercept.matrix\n-[1] 497091 300\n+[1] 497093 300\n \n $variables$has.intercept.mer\n-[1] 497391 330\n+[1] 497393 330\n \n $variables$has.intercept.merMod\n-[1] 497721 330\n+[1] 497723 330\n \n $variables$has.intercept.mlm\n-[1] 498051 343\n+[1] 498053 343\n \n $variables$has.intercept.multinom\n-[1] 498394 382\n+[1] 498396 382\n \n $variables$has.intercept.vlm\n-[1] 498776 330\n+[1] 498778 330\n \n $variables$hccm\n-[1] 499106 202\n+[1] 499108 202\n \n $variables$hccm.default\n-[1] 499308 233\n+[1] 499310 233\n \n $variables$hccm.lm\n-[1] 499541 3641\n+[1] 499543 3641\n \n $variables$hist.boot\n-[1] 503182 6599\n+[1] 503184 6599\n \n $variables$infIndexPlot\n-[1] 509781 207\n+[1] 509783 207\n \n $variables$infIndexPlot.influence.lme\n-[1] 509988 515\n+[1] 509990 515\n \n $variables$infIndexPlot.influence.merMod\n-[1] 510503 4657\n+[1] 510505 4657\n \n $variables$infIndexPlot.lm\n-[1] 515160 4537\n+[1] 515162 4537\n \n $variables$infIndexPlot.lmerMod\n-[1] 519697 254\n+[1] 519699 254\n \n $variables$influence.lme\n-[1] 519951 4683\n+[1] 519953 4683\n \n $variables$influenceIndexPlot\n-[1] 524634 207\n+[1] 524636 207\n \n $variables$influencePlot\n-[1] 524841 211\n+[1] 524843 211\n \n $variables$influencePlot.lm\n-[1] 525052 4862\n+[1] 525054 4862\n \n $variables$influencePlot.lmerMod\n-[1] 529914 257\n+[1] 529916 257\n \n $variables$inv\n-[1] 530171 215\n+[1] 530173 215\n \n $variables$invResPlot\n-[1] 530386 196\n+[1] 530388 196\n \n $variables$invTranEstimate\n-[1] 530582 2419\n+[1] 530584 2419\n \n $variables$invTranPlot\n-[1] 533001 191\n+[1] 533003 191\n \n $variables$invTranPlot.default\n-[1] 533192 4450\n+[1] 533194 4450\n \n $variables$invTranPlot.formula\n-[1] 537642 2999\n+[1] 537644 2999\n \n $variables$inverseResponsePlot\n-[1] 540641 251\n+[1] 540643 251\n \n $variables$inverseResponsePlot.lm\n-[1] 540892 2464\n+[1] 540894 2464\n \n $variables$is.aliased\n-[1] 543356 301\n+[1] 543358 301\n \n $variables$isFALSE\n-[1] 543657 382\n+[1] 543659 382\n \n $variables$levene.test\n-[1] 544039 246\n+[1] 544041 246\n \n $variables$leveneTest\n-[1] 544285 204\n+[1] 544287 204\n \n $variables$leveneTest.default\n-[1] 544489 1774\n+[1] 544491 1774\n \n $variables$leveneTest.formula\n-[1] 546263 1464\n+[1] 546265 1464\n \n $variables$leveneTest.lm\n-[1] 547727 624\n+[1] 547729 624\n \n $variables$leverage.plot\n-[1] 548351 248\n+[1] 548353 248\n \n $variables$leverage.plots\n-[1] 548599 248\n+[1] 548601 248\n \n $variables$leveragePlot\n-[1] 548847 210\n+[1] 548849 210\n \n $variables$leveragePlot.glm\n-[1] 549057 247\n+[1] 549059 247\n \n $variables$leveragePlot.lm\n-[1] 549304 4047\n+[1] 549306 4047\n \n $variables$leveragePlots\n-[1] 553351 2485\n+[1] 553353 2485\n \n $variables$lht\n-[1] 555836 241\n+[1] 555838 241\n \n $variables$linear.hypothesis\n-[1] 556077 253\n+[1] 556079 253\n \n $variables$linearHypothesis\n-[1] 556330 213\n+[1] 556332 213\n \n $variables$linearHypothesis.default\n-[1] 556543 5704\n+[1] 556545 5704\n \n $variables$linearHypothesis.glm\n-[1] 562247 250\n+[1] 562249 250\n \n $variables$linearHypothesis.lm\n-[1] 562497 2845\n+[1] 562499 2845\n \n $variables$linearHypothesis.lmList\n-[1] 565342 1608\n+[1] 565344 1608\n \n $variables$linearHypothesis.lme\n-[1] 566950 4127\n+[1] 566952 4127\n \n $variables$linearHypothesis.mer\n-[1] 571077 5345\n+[1] 571079 5345\n \n $variables$linearHypothesis.merMod\n-[1] 576422 420\n+[1] 576424 420\n \n $variables$linearHypothesis.mlm\n-[1] 576842 5818\n+[1] 576844 5818\n \n $variables$linearHypothesis.nlsList\n-[1] 582660 224\n+[1] 582662 224\n \n $variables$linearHypothesis.polr\n-[1] 582884 683\n+[1] 582886 683\n \n $variables$linearHypothesis.rlm\n-[1] 583567 277\n+[1] 583569 277\n \n $variables$linearHypothesis.survreg\n-[1] 583844 1001\n+[1] 583846 1001\n \n $variables$linearHypothesis.svyglm\n-[1] 584845 250\n+[1] 584847 250\n \n $variables$lm2glm\n-[1] 585095 899\n+[1] 585097 899\n \n $variables$loessLine\n-[1] 585994 5973\n+[1] 585996 5973\n \n $variables$logLik.coxph\n-[1] 591967 249\n+[1] 591969 249\n \n $variables$logLik.survreg\n-[1] 592216 249\n+[1] 592218 249\n \n $variables$logit\n-[1] 592465 1844\n+[1] 592467 1844\n \n $variables$makeHypothesis\n-[1] 594309 5181\n+[1] 594311 5181\n \n $variables$makeLinearCombinations\n-[1] 599490 1369\n+[1] 599492 1369\n \n $variables$marginalModelPlot\n-[1] 600859 196\n+[1] 600861 196\n \n $variables$marginalModelPlots\n-[1] 601055 179\n+[1] 601057 179\n \n $variables$matchCoefs\n-[1] 601234 201\n+[1] 601236 201\n \n $variables$matchCoefs.default\n-[1] 601435 386\n+[1] 601437 386\n \n $variables$matchCoefs.lmList\n-[1] 601821 425\n+[1] 601823 425\n \n $variables$matchCoefs.lme\n-[1] 602246 260\n+[1] 602248 260\n \n $variables$matchCoefs.mer\n-[1] 602506 260\n+[1] 602508 260\n \n $variables$matchCoefs.merMod\n-[1] 602766 260\n+[1] 602768 260\n \n $variables$matchCoefs.mlm\n-[1] 603026 384\n+[1] 603028 384\n \n $variables$matchFun\n-[1] 603410 456\n+[1] 603412 456\n \n $variables$mcPlot\n-[1] 603866 187\n+[1] 603868 187\n \n $variables$mcPlot.glm\n-[1] 604053 300\n+[1] 604055 300\n \n $variables$mcPlot.lm\n-[1] 604353 6604\n+[1] 604355 6604\n \n $variables$mcPlots\n-[1] 610957 205\n+[1] 610959 205\n \n $variables$mcPlots.default\n-[1] 611162 3200\n+[1] 611164 3200\n \n $variables$mfrow\n-[1] 614362 632\n+[1] 614364 632\n \n $variables$mmp\n-[1] 614994 200\n+[1] 614996 200\n \n $variables$mmp.default\n-[1] 615194 6043\n+[1] 615196 6043\n \n $variables$mmp.glm\n-[1] 621237 6543\n+[1] 621239 6543\n \n $variables$mmp.lm\n-[1] 627780 647\n+[1] 627782 647\n \n $variables$mmps\n-[1] 628427 5966\n+[1] 628429 5966\n \n $variables$model.matrix.coxme\n-[1] 634393 496\n+[1] 634395 496\n \n $variables$model.matrix.gls\n-[1] 634889 384\n+[1] 634891 384\n \n $variables$model.matrix.lme\n-[1] 635273 510\n+[1] 635275 510\n \n $variables$model.matrix.survreg\n-[1] 635783 290\n+[1] 635785 290\n \n $variables$na.action.merMod\n-[1] 636073 629\n+[1] 636075 629\n \n $variables$ncv.test\n-[1] 636702 243\n+[1] 636704 243\n \n $variables$ncvTest\n-[1] 636945 205\n+[1] 636947 205\n \n $variables$ncvTest.glm\n-[1] 637150 230\n+[1] 637152 230\n \n $variables$ncvTest.lm\n-[1] 637380 2500\n+[1] 637382 2500\n \n $variables$nextBoot\n-[1] 639880 283\n+[1] 639882 283\n \n $variables$nextBoot.default\n-[1] 640163 279\n+[1] 640165 279\n \n $variables$nextBoot.lm\n-[1] 640442 261\n+[1] 640444 261\n \n $variables$nextBoot.nls\n-[1] 640703 451\n+[1] 640705 451\n \n $variables$nice\n-[1] 641154 1116\n+[1] 641156 1116\n \n $variables$outerLegend\n-[1] 642270 1122\n+[1] 642272 1122\n \n $variables$outlier.test\n-[1] 643392 248\n+[1] 643394 248\n \n $variables$outlierTest\n-[1] 643640 209\n+[1] 643642 209\n \n $variables$outlierTest.lm\n-[1] 643849 2049\n+[1] 643851 2049\n \n $variables$outlierTest.lmerMod\n-[1] 645898 253\n+[1] 645900 253\n \n $variables$package.installed\n-[1] 646151 492\n+[1] 646153 492\n \n $variables$panel.car\n-[1] 646643 823\n+[1] 646645 823\n \n $variables$plotArrayLegend\n-[1] 647466 1629\n+[1] 647468 1629\n \n $variables$poTest\n-[1] 649095 204\n+[1] 649097 204\n \n $variables$poTest.polr\n-[1] 649299 5052\n+[1] 649301 5052\n \n $variables$pointLabel\n-[1] 654351 13163\n+[1] 654353 13163\n \n $variables$powerTransform\n-[1] 667514 196\n+[1] 667516 196\n \n $variables$powerTransform.default\n-[1] 667710 913\n+[1] 667712 913\n \n $variables$powerTransform.formula\n-[1] 668623 1810\n+[1] 668625 1810\n \n $variables$powerTransform.lm\n-[1] 670433 1112\n+[1] 670435 1112\n \n $variables$powerTransform.lmerMod\n-[1] 671545 401\n+[1] 671547 401\n \n $variables$predictor.names\n-[1] 671946 212\n+[1] 671948 212\n \n $variables$predictor.names.default\n-[1] 672158 453\n+[1] 672160 453\n \n $variables$print.Anova.mlm\n-[1] 672611 2984\n+[1] 672613 2984\n \n $variables$print.S.glm\n-[1] 675595 4979\n+[1] 675597 4979\n \n $variables$print.S.glmerMod\n-[1] 680574 2352\n+[1] 680576 2352\n \n $variables$print.S.lm\n-[1] 682926 5366\n+[1] 682928 5366\n \n $variables$print.S.lme\n-[1] 688292 3406\n+[1] 688294 3406\n \n $variables$print.S.lmerMod\n-[1] 691698 2362\n+[1] 691700 2362\n \n $variables$print.S.multinom\n-[1] 694060 3013\n+[1] 694062 3013\n \n $variables$print.S.polr\n-[1] 697073 1982\n+[1] 697075 1982\n \n $variables$print.bcnPowerTransform\n-[1] 699055 741\n+[1] 699057 741\n \n $variables$print.boxTidwell\n-[1] 699796 1162\n+[1] 699798 1162\n \n $variables$print.chisqTest\n-[1] 700958 1041\n+[1] 700960 1041\n \n $variables$print.confint.boot\n-[1] 701999 424\n+[1] 702001 424\n \n $variables$print.deltaMethod\n-[1] 702423 415\n+[1] 702425 415\n \n $variables$print.durbinWatsonTest\n-[1] 702838 1273\n+[1] 702840 1273\n \n $variables$print.fitstats\n-[1] 704111 624\n+[1] 704113 624\n \n $variables$print.linearHypothesis.mlm\n-[1] 704735 3694\n+[1] 704737 3694\n \n $variables$print.outlierTest\n-[1] 708429 1036\n+[1] 708431 1036\n \n $variables$print.poTest\n-[1] 709465 1475\n+[1] 709467 1475\n \n $variables$print.powerTransform\n-[1] 710940 534\n+[1] 710942 534\n \n $variables$print.spreadLevelPlot\n-[1] 711474 501\n+[1] 711476 501\n \n $variables$print.summary.Anova.mlm\n-[1] 711975 2351\n+[1] 711977 2351\n \n $variables$print.summary.bcnPowerTransform\n-[1] 714326 963\n+[1] 714328 963\n \n $variables$print.summary.boot\n-[1] 715289 874\n+[1] 715291 874\n \n $variables$print.summary.powerTransform\n-[1] 716163 1395\n+[1] 716165 1395\n \n $variables$print.univaov\n-[1] 717558 2093\n+[1] 717560 2093\n \n $variables$printHypothesis\n-[1] 719651 2713\n+[1] 719653 2713\n \n $variables$probabilityAxis\n-[1] 722364 3187\n+[1] 722366 3187\n \n $variables$qq.plot\n-[1] 725551 243\n+[1] 725553 243\n \n $variables$qqPlot\n-[1] 725794 201\n+[1] 725796 201\n \n $variables$qqPlot.default\n-[1] 725995 7973\n+[1] 725997 7973\n \n $variables$qqPlot.formula\n-[1] 733968 2530\n+[1] 733970 2530\n \n $variables$qqPlot.glm\n-[1] 736498 261\n+[1] 736500 261\n \n $variables$qqPlot.lm\n-[1] 736759 7426\n+[1] 736761 7426\n \n $variables$qqp\n-[1] 744185 181\n+[1] 744187 181\n \n $variables$quantregLine\n-[1] 744366 5479\n+[1] 744368 5479\n \n $variables$recode\n-[1] 749845 3953\n+[1] 749847 3953\n \n $variables$reg\n-[1] 753798 1299\n+[1] 753800 1299\n \n $variables$regLine\n-[1] 755097 1317\n+[1] 755099 1317\n \n $variables$relatives\n-[1] 756414 996\n+[1] 756416 996\n \n $variables$residCurvTest\n-[1] 757410 215\n+[1] 757412 215\n \n $variables$residCurvTest.glm\n-[1] 757625 1022\n+[1] 757627 1022\n \n $variables$residCurvTest.lm\n-[1] 758647 1604\n+[1] 758649 1604\n \n $variables$residCurvTest.negbin\n-[1] 760251 1016\n+[1] 760253 1016\n \n $variables$residualPlot\n-[1] 761267 191\n+[1] 761269 191\n \n $variables$residualPlot.default\n-[1] 761458 9598\n+[1] 761460 9598\n \n $variables$residualPlot.glm\n-[1] 771056 407\n+[1] 771058 407\n \n $variables$residualPlot.lm\n-[1] 771463 260\n+[1] 771465 260\n \n $variables$residualPlots\n-[1] 771723 210\n+[1] 771725 210\n \n $variables$residualPlots.default\n-[1] 771933 6066\n+[1] 771935 6066\n \n $variables$residualPlots.glm\n-[1] 777999 261\n+[1] 778001 261\n \n $variables$residualPlots.lm\n-[1] 778260 261\n+[1] 778262 261\n \n $variables$response\n-[1] 778521 204\n+[1] 778523 204\n \n $variables$response.default\n-[1] 778725 251\n+[1] 778727 251\n \n $variables$responseName\n-[1] 778976 208\n+[1] 778978 208\n \n $variables$responseName.default\n-[1] 779184 352\n+[1] 779186 352\n \n $variables$scatter3d\n-[1] 779536 352\n+[1] 779538 352\n \n $variables$scatter3d.default\n-[1] 779888 18585\n+[1] 779890 18585\n \n $variables$scatter3d.formula\n-[1] 798473 3048\n+[1] 798475 3048\n \n $variables$scatterplot\n-[1] 801521 206\n+[1] 801523 206\n \n $variables$scatterplot.default\n-[1] 801727 15924\n+[1] 801729 15924\n \n $variables$scatterplot.formula\n-[1] 817651 3918\n+[1] 817653 3918\n \n $variables$scatterplot.matrix\n-[1] 821569 255\n+[1] 821571 255\n \n $variables$scatterplotMatrix\n-[1] 821824 212\n+[1] 821826 212\n \n $variables$scatterplotMatrix.default\n-[1] 822036 14803\n+[1] 822038 14803\n \n $variables$scatterplotMatrix.formula\n-[1] 836839 2384\n+[1] 836841 2384\n \n $variables$showLabels\n-[1] 839223 1003\n+[1] 839225 1003\n \n $variables$showLabels1\n-[1] 840226 6626\n+[1] 840228 6626\n \n $variables$showLabels3d\n-[1] 846852 2363\n+[1] 846854 2363\n \n $variables$showLabelsScatter\n-[1] 849215 3776\n+[1] 849217 3776\n \n $variables$sigmaHat\n-[1] 852991 201\n+[1] 852993 201\n \n $variables$sigmaHat.default\n-[1] 853192 269\n+[1] 853194 269\n \n $variables$sigmaHat.glm\n-[1] 853461 287\n+[1] 853463 287\n \n $variables$sigmaHat.lm\n-[1] 853748 227\n+[1] 853750 227\n \n $variables$skewPower\n-[1] 853975 244\n+[1] 853977 244\n \n $variables$slp\n-[1] 854219 190\n+[1] 854221 190\n \n $variables$some\n-[1] 854409 184\n+[1] 854411 184\n \n $variables$some.data.frame\n-[1] 854593 626\n+[1] 854595 626\n \n $variables$some.default\n-[1] 855219 674\n+[1] 855221 674\n \n $variables$some.matrix\n-[1] 855893 626\n+[1] 855895 626\n \n $variables$sp\n-[1] 856519 190\n+[1] 856521 190\n \n $variables$spm\n-[1] 856709 252\n+[1] 856711 252\n \n $variables$spread.level.plot\n-[1] 856961 251\n+[1] 856963 251\n \n $variables$spreadLevelPlot\n-[1] 857212 209\n+[1] 857214 209\n \n $variables$spreadLevelPlot.default\n-[1] 857421 4255\n+[1] 857423 4255\n \n $variables$spreadLevelPlot.formula\n-[1] 861676 1814\n+[1] 861678 1814\n \n $variables$spreadLevelPlot.lm\n-[1] 863490 4550\n+[1] 863492 4550\n \n $variables$squeezeBlanks\n-[1] 868040 253\n+[1] 868042 253\n \n $variables$strings2factors\n-[1] 868293 259\n+[1] 868295 259\n \n $variables$strings2factors.data.frame\n-[1] 868552 1941\n+[1] 868554 1941\n \n $variables$subsets\n-[1] 870493 208\n+[1] 870495 208\n \n $variables$subsets.regsubsets\n-[1] 870701 3303\n+[1] 870703 3303\n \n $variables$summary.Anova.mlm\n-[1] 874004 10554\n+[1] 874006 10554\n \n $variables$summary.bcnPowerTransform\n-[1] 884558 2191\n+[1] 884560 2191\n \n $variables$summary.bcnPowerTransformlmer\n-[1] 886749 2251\n+[1] 886751 2251\n \n $variables$summary.boot\n-[1] 889000 3786\n+[1] 889002 3786\n \n $variables$summary.powerTransform\n-[1] 892786 1598\n+[1] 892788 1598\n \n $variables$symbox\n-[1] 894384 201\n+[1] 894386 201\n \n $variables$symbox.default\n-[1] 894585 2158\n+[1] 894587 2158\n \n $variables$symbox.formula\n-[1] 896743 1399\n+[1] 896745 1399\n \n $variables$symbox.lm\n-[1] 898142 2663\n+[1] 898144 2663\n \n $variables$term.names\n-[1] 900805 208\n+[1] 900807 208\n \n $variables$term.names.default\n-[1] 901013 424\n+[1] 901015 424\n \n $variables$termsToMf\n-[1] 901437 2360\n+[1] 901439 2360\n \n $variables$testTransform\n-[1] 903797 197\n+[1] 903799 197\n \n $variables$testTransform.bcnPowerTransform\n-[1] 903994 2263\n+[1] 903996 2263\n \n $variables$testTransform.bcnPowerTransformlmer\n-[1] 906257 2234\n+[1] 906259 2234\n \n $variables$testTransform.lmerModpowerTransform\n-[1] 908491 1472\n+[1] 908493 1472\n \n $variables$testTransform.powerTransform\n-[1] 909963 2034\n+[1] 909965 2034\n \n $variables$tukeyNonaddTest\n-[1] 911997 1430\n+[1] 911999 1430\n \n $variables$vcov.bcnPowerTransform\n-[1] 913427 728\n+[1] 913429 728\n \n $variables$vcov.boot\n-[1] 914155 818\n+[1] 914157 818\n \n $variables$vcov.powerTransform\n-[1] 914973 489\n+[1] 914975 489\n \n $variables$vcov.svyolr\n-[1] 915462 371\n+[1] 915464 371\n \n $variables$vif\n-[1] 915833 197\n+[1] 915835 197\n \n $variables$vif.default\n-[1] 916030 2360\n+[1] 916032 2360\n \n $variables$vif.lm\n-[1] 918390 5043\n+[1] 918392 5043\n \n $variables$vif.merMod\n-[1] 923433 2362\n+[1] 923435 2362\n \n $variables$vif.polr\n-[1] 925795 2198\n+[1] 925797 2198\n \n $variables$vif.svyolr\n-[1] 927993 2248\n+[1] 927995 2248\n \n $variables$wcrossprod\n-[1] 930241 1833\n+[1] 930243 1833\n \n $variables$which.names\n-[1] 932074 220\n+[1] 932076 220\n \n $variables$whichNames\n-[1] 932294 220\n+[1] 932296 220\n \n $variables$whichNames.data.frame\n-[1] 932514 983\n+[1] 932516 983\n \n $variables$whichNames.default\n-[1] 933497 981\n+[1] 933499 981\n \n $variables$yjPower\n-[1] 934478 2432\n+[1] 934480 2432\n \n $variables$yjPowerAxis\n-[1] 936910 2670\n+[1] 936912 2670\n \n \n $references\n $references$`env::1`\n-[1] 305 1268\n+[1] 305 1270\n \n $references$`env::2`\n [1] 0 140\n \n $references$`env::3`\n [1] 140 165\n \n $references$`env::4`\n-[1] 1635 140\n+[1] 1637 140\n \n $references$`env::5`\n-[1] 1906 140\n+[1] 1908 140\n \n $references$`env::6`\n-[1] 315259 344\n+[1] 315261 344\n \n \n $compressed\n [1] TRUE\n \n"}]}]}, {"source1": "./usr/lib/R/site-library/car/help/car.rdb", "source2": "./usr/lib/R/site-library/car/help/car.rdb", "unified_diff": null, "details": [{"source1": "Rscript --vanilla - {}", "source2": "Rscript --vanilla - {}", "unified_diff": "@@ -669,15 +669,15 @@\n structure(\"\\tlibrary(nlme)\\n\", Rd_tag = \"VERB\"), \n structure(\"\\texample(lme)\\n\", Rd_tag = \"VERB\"), structure(\"\\tAnova(fm2)\\n\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"\\n\", Rd_tag = \"RCODE\"), \n structure(list(structure(\" # loads lme4 package\\n\", Rd_tag = \"VERB\"), \n structure(\"\\tlibrary(lme4)\\n\", Rd_tag = \"VERB\"), \n structure(\"\\texample(glmer)\\n\", Rd_tag = \"VERB\"), \n structure(\"\\tAnova(gm1)\\n\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/Anova.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/Anova.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n Boot (list) = structure(list(structure(list(structure(\"Bootstrapping for regression models \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"Boot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"Boot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"Boot.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"Boot.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -921,15 +921,15 @@\n structure(\"betahat.boot <- Boot(m1, R=199) # 199 bootstrap samples--too small to be useful\\n\", Rd_tag = \"RCODE\"), \n structure(\"summary(betahat.boot) # default summary\\n\", Rd_tag = \"RCODE\"), \n structure(\"confint(betahat.boot)\\n\", Rd_tag = \"RCODE\"), \n structure(\"hist(betahat.boot)\\n\", Rd_tag = \"RCODE\"), \n structure(\"# Bootstrap for the estimated residual standard deviation:\\n\", Rd_tag = \"RCODE\"), \n structure(\"sigmahat.boot <- Boot(m1, R=199, f=sigmaHat, labels=\\\"sigmaHat\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"summary(sigmahat.boot)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"confint(sigmahat.boot)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/Boot.Rd\", class = \"Rd\", meta = list(\n+ structure(\"confint(sigmahat.boot)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/Boot.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n Boxplot (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Boxplots With Point Identification\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"Boxplot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"Boxplot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"Boxplot.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -1064,15 +1064,15 @@\n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"Boxplot(~income, data=Prestige, id=list(n=Inf)) # identify all outliers\\n\", Rd_tag = \"RCODE\"), \n structure(\"Boxplot(income ~ type, data=Prestige)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Boxplot(income ~ type, data=Prestige, at=c(1, 3, 2))\\n\", Rd_tag = \"RCODE\"), \n structure(\"Boxplot(k5 + k618 ~ lfp*wc, data=Mroz)\\n\", Rd_tag = \"RCODE\"), \n structure(\"with(Prestige, Boxplot(income, id=list(labels=rownames(Prestige))))\\n\", Rd_tag = \"RCODE\"), \n structure(\"with(Prestige, Boxplot(income, type, id=list(labels=rownames(Prestige))))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"Boxplot(scale(Prestige[, 1:4]))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/Boxplot.Rd\", class = \"Rd\", meta = list(\n+ structure(\"Boxplot(scale(Prestige[, 1:4]))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/Boxplot.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n Contrasts (list) = structure(list(structure(list(structure(\"Functions to Construct Contrasts\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"Contrasts\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"Contrasts\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"contr.Treatment\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"contr.Sum\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -1210,15 +1210,15 @@\n structure(\"## contrasts = list(type = \\\"contr.treatment\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"## \\n\", Rd_tag = \"RCODE\"), structure(\"## Coefficients:\\n\", Rd_tag = \"RCODE\"), \n structure(\"## (Intercept) income education \\n\", Rd_tag = \"RCODE\"), \n structure(\"## 2.275753 0.003522 1.713275 \\n\", Rd_tag = \"RCODE\"), \n structure(\"## typeprof typewc income:typeprof \\n\", Rd_tag = \"RCODE\"), \n structure(\"## 15.351896 -33.536652 -0.002903 \\n\", Rd_tag = \"RCODE\"), \n structure(\"## income:typewc education:typeprof education:typewc \\n\", Rd_tag = \"RCODE\"), \n- structure(\"## -0.002072 1.387809 4.290875 \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/Contrasts.Rd\", class = \"Rd\", meta = list(\n+ structure(\"## -0.002072 1.387809 4.290875 \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/Contrasts.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n Ellipses (list) = structure(list(structure(list(structure(\"Ellipses, Data Ellipses, and Confidence Ellipses\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"Ellipses\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"ellipse\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"dataEllipse\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"confidenceEllipse\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -1597,15 +1597,15 @@\n structure(\"\\tdataEllipse(income, prestige, weights=wts, robust=TRUE, levels=0.68, \\n\", Rd_tag = \"RCODE\"), \n structure(\"\\t\\tplot.points=FALSE, col=\\\"blue\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\t})\\n\", Rd_tag = \"RCODE\"), structure(\" \\n\", Rd_tag = \"RCODE\"), \n structure(\"with(Prestige, dataEllipse(income, education, type, \\n\", Rd_tag = \"RCODE\"), \n structure(\" id=list(n=2, labels=rownames(Prestige)), pch=15:17,\\n\", Rd_tag = \"RCODE\"), \n structure(\" xlim=c(0, 25000), center.pch=\\\"+\\\",\\n\", Rd_tag = \"RCODE\"), \n structure(\" group.labels=c(\\\"Blue Collar\\\", \\\"Professional\\\", \\\"White Collar\\\"),\\n\", Rd_tag = \"RCODE\"), \n- structure(\" ylim=c(5, 20), level=.95, fill=TRUE, fill.alpha=0.1))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/Ellipses.Rd\", class = \"Rd\", meta = list(\n+ structure(\" ylim=c(5, 20), level=.95, fill=TRUE, fill.alpha=0.1))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/Ellipses.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n Export (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Export a data frame to disk in one of many formats\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"Export\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"Export\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" utilities \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -1662,15 +1662,15 @@\n structure(\"Import\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"if(require(\\\"rio\\\")) {\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"Export(Duncan, \\\"Duncan.csv\\\", keep.row.names=\\\"occupation\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"Duncan2 <- Import(\\\"Duncan.csv\\\") # Automatically restores row.names\\n\", Rd_tag = \"RCODE\"), \n structure(\"identical(Duncan, Duncan2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"# cleanup\\n\", Rd_tag = \"RCODE\"), structure(\"unlink(\\\"Duncan.csv\\\")\\n\", Rd_tag = \"RCODE\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"}\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/Export.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"}\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/Export.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n Import (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Import data from many file formats\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"Import\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"Import\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" utilities \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -1753,15 +1753,15 @@\n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"head(Duncan, 3) # first three rows\\n\", Rd_tag = \"RCODE\"), \n structure(\"Export(Duncan, \\\"Duncan.csv\\\", keep.row.names=\\\"occupation\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"Duncan2 <- Import(\\\"Duncan.csv\\\") # Automatically restores row.names and factors\\n\", Rd_tag = \"RCODE\"), \n structure(\"brief(Duncan2) \\n\", Rd_tag = \"RCODE\"), structure(\"identical(Duncan, Duncan2) # FALSE because type is of a different class\\n\", Rd_tag = \"RCODE\"), \n structure(\"Duncan3 <- Import(\\\"Duncan.csv\\\", stringsAsFactors=TRUE) \\n\", Rd_tag = \"RCODE\"), \n structure(\"brief(Duncan3) \\n\", Rd_tag = \"RCODE\"), structure(\"identical(Duncan, Duncan3) # TRUE type is of same class\\n\", Rd_tag = \"RCODE\"), \n structure(\"# cleanup\\n\", Rd_tag = \"RCODE\"), structure(\"unlink(\\\"Duncan.csv\\\")\\n\", Rd_tag = \"RCODE\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"}\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/Import.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"}\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/Import.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n Predict (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Model Predictions\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"Predict\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"Predict\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"Predict.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -1865,15 +1865,15 @@\n structure(\"newd <- data.frame(assets=exp(4:12))\\n\", Rd_tag = \"RCODE\"), \n structure(\"(p1 <- predict(mod, newd, interval=\\\"prediction\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"p2 <- Predict(mod, newd, interval=\\\"prediction\\\", vcov.=vcov)\\n\", Rd_tag = \"RCODE\"), \n structure(\"all.equal(p1, p2) # the same\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"(predict(mod, newd, se=TRUE))\\n\", Rd_tag = \"RCODE\"), \n structure(\"(p3 <- Predict(mod, newd, se=TRUE, vcov.=hccm)) # larger SEs\\n\", Rd_tag = \"RCODE\"), \n structure(\"p4 <- Predict(mod, newd, se=TRUE, vcov.=hccm(mod, type=\\\"hc3\\\"))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"all.equal(p3, p4) # the same\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/Predict.Rd\", class = \"Rd\", meta = list(\n+ structure(\"all.equal(p3, p4) # the same\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/Predict.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n S (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Modified Functions for Summarizing Linear, Generalized Linear, and Some Other Models\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"S\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"S\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"Confint\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -2304,15 +2304,15 @@\n structure(\"Duncan.1 <-Duncan\\n\", Rd_tag = \"RCODE\"), structure(\"Duncan.1$type <- as.character(Duncan$type)\\n\", Rd_tag = \"RCODE\"), \n structure(\"summary(Duncan.1)\\n\", Rd_tag = \"RCODE\"), structure(\"S(Duncan.1)\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(list(structure(\" # generates an error, which can then be corrected to run example\\n\", Rd_tag = \"VERB\"), \n structure(\"# Using the bootstrap for standard errors\\n\", Rd_tag = \"VERB\"), \n structure(\"b1 <- Boot(mod.prestige)\\n\", Rd_tag = \"VERB\"), \n structure(\"S(mod.prestige, vcov.= vcov(b1))\\n\", Rd_tag = \"VERB\"), \n structure(\"Confint(b1) # run with the boot object to get corrected confidence intervals\\n\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/S.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/S.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n ScatterplotSmoothers (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Smoothers to Draw Lines on Scatterplots\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"ScatterplotSmoothers\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"ScatterplotSmoothers\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"gamLine\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -2579,15 +2579,15 @@\n structure(\"x <- rnorm(100)\\n\", Rd_tag = \"RCODE\"), structure(\"p <- 1/(1 + exp(-(x + 0.5*x^2)))\\n\", Rd_tag = \"RCODE\"), \n structure(\"y <- rbinom(100, w, p)\\n\", Rd_tag = \"RCODE\"), \n structure(\"scatterplot(y/w ~ x, smooth=list(smoother=gamLine, family=\\\"binomial\\\",\\n\", Rd_tag = \"RCODE\"), \n structure(\" weights=w))\\n\", Rd_tag = \"RCODE\"), structure(\"scatterplot(y/w ~ x, smooth=list(smoother=gamLine, family=binomial,\\n\", Rd_tag = \"RCODE\"), \n structure(\" link=\\\"probit\\\", weights=w))\\n\", Rd_tag = \"RCODE\"), \n structure(\"scatterplot(y/w ~ x, smooth=list(smoother=loessLine), reg=FALSE)\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"y <- rbinom(100, 1, p)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"scatterplot(y ~ x, smooth=list(smoother=gamLine, family=binomial))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/ScatterplotSmoothers.Rd\", class = \"Rd\", meta = list(\n+ structure(\"scatterplot(y ~ x, smooth=list(smoother=gamLine, family=binomial))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/ScatterplotSmoothers.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n Tapply (list) = structure(list(structure(list(structure(\"Apply a Function to a Variable Within Factor Levels\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"Tapply\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"Tapply\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"misc\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"manip\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -2659,15 +2659,15 @@\n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"Tapply(conformity ~ partner.status + fcategory, mean, data=Moore)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Tapply(conformity ~ partner.status + fcategory, mean, data=Moore, \\n\", Rd_tag = \"RCODE\"), \n structure(\" trim=0.2)\\n\", Rd_tag = \"RCODE\"), structure(\"\\n\", Rd_tag = \"RCODE\"), \n structure(\"Moore[1, 2] <- NA\\n\", Rd_tag = \"RCODE\"), structure(\"Tapply(conformity ~ partner.status + fcategory, mean, data=Moore)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Tapply(conformity ~ partner.status + fcategory, mean, data=Moore, \\n\", Rd_tag = \"RCODE\"), \n structure(\" na.rm=TRUE)\\n\", Rd_tag = \"RCODE\"), structure(\"Tapply(conformity ~ partner.status + fcategory, mean, data=Moore, \\n\", Rd_tag = \"RCODE\"), \n structure(\" na.action=na.omit) # equivalent\\n\", Rd_tag = \"RCODE\"), \n- structure(\"remove(\\\"Moore\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/Tapply.Rd\", class = \"Rd\", meta = list(\n+ structure(\"remove(\\\"Moore\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/Tapply.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n TransformationAxes (list) = structure(list(structure(list(structure(\"Axes for Transformed Variables\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"TransformationAxes\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"basicPowerAxis\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"bcPowerAxis\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"bcnPowerAxis\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -2902,15 +2902,15 @@\n structure(\"bcPowerAxis(0, side=\\\"right\\\",\\n\", Rd_tag = \"RCODE\"), \n structure(\" grid=TRUE, axis.title=\\\"infant mortality rate per 1000\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"with(UN, qqPlot(logit(infantMortality/1000)))\\n\", Rd_tag = \"RCODE\"), \n structure(\"probabilityAxis()\\n\", Rd_tag = \"RCODE\"), structure(\"\\n\", Rd_tag = \"RCODE\"), \n structure(\"with(UN, qqPlot(qnorm(infantMortality/1000)))\\n\", Rd_tag = \"RCODE\"), \n structure(\"probabilityAxis(at=c(.005, .01, .02, .04, .08, .16), scale=\\\"probit\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"qqPlot(bcnPower(Ornstein$interlocks, lambda=1/3, gamma=0.1))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"bcnPowerAxis(1/3, 0.1, at=c(o=0, 5, 10, 20, 40, 80))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/TransformationAxes.Rd\", class = \"Rd\", meta = list(\n+ structure(\"bcnPowerAxis(1/3, 0.1, at=c(o=0, 5, 10, 20, 40, 80))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/TransformationAxes.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n avPlots (list) = structure(list(structure(list(structure(\"Added-Variable Plots\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"avPlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"avPlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"avPlots.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"avp\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -3198,15 +3198,15 @@\n structure(\"avPlots(m1, ~ womwage, ellipse=list(levels=0.5)) \\n\", Rd_tag = \"RCODE\"), \n structure(\"# AV plot, adjusting and scaling as in marginal plot\\n\", Rd_tag = \"RCODE\"), \n structure(\"avPlots(m1, ~ womwage, marginal.scale=TRUE, ellipse=list(levels=0.5)) \\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"# 3D AV plot, requires the rgl package\\n\", Rd_tag = \"RCODE\"), \n structure(\"if (interactive() && require(\\\"rgl\\\")){\\n\", Rd_tag = \"RCODE\"), \n structure(\"avPlot3d(lm(prestige ~ income + education + type, data=Duncan), \\n\", Rd_tag = \"RCODE\"), \n structure(\" \\\"income\\\", \\\"education\\\")\\n\", Rd_tag = \"RCODE\"), \n- structure(\"}\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/avPlots.Rd\", class = \"Rd\", meta = list(\n+ structure(\"}\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/avPlots.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n bcPower (list) = structure(list(structure(list(structure(\"Box-Cox, Box-Cox with Negatives Allowed, Yeo-Johnson and Basic Power Transformations\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"bcPower\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"bcPower\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"bcnPower\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"bcnPowerInverse\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -3377,15 +3377,15 @@\n structure(\" # produces an error as U has negative values\\n\", Rd_tag = \"RCODE\"), \n structure(\"bcPower(U, 0, gamma=4)\\n\", Rd_tag = \"RCODE\"), \n structure(\"bcPower(U, .5, jacobian.adjusted=TRUE, gamma=4)\\n\", Rd_tag = \"RCODE\"), \n structure(\"bcnPower(U, 0, gamma=2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"basicPower(U, lambda = 0, gamma=4)\\n\", Rd_tag = \"RCODE\"), \n structure(\"yjPower(U, 0)\\n\", Rd_tag = \"RCODE\"), structure(\"V <- matrix(1:10, ncol=2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"bcPower(V, c(0, 2))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"basicPower(V, c(0,1))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/bcPower.Rd\", class = \"Rd\", meta = list(\n+ structure(\"basicPower(V, c(0,1))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/bcPower.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n boxCox (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Graph the profile log-likelihood for Box-Cox transformations in 1D, or in 2D with the bcnPower family.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"boxCox\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"boxCox\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"boxCox2d\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -3625,15 +3625,15 @@\n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"contour\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\" with(trees, boxCox(Volume ~ log(Height) + log(Girth), data = trees,\\n\", Rd_tag = \"RCODE\"), \n structure(\" lambda = seq(-0.25, 0.25, length = 10)))\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\" data(\\\"quine\\\", package = \\\"MASS\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\" with(quine, boxCox(Days ~ Eth*Sex*Age*Lrn, \\n\", Rd_tag = \"RCODE\"), \n- structure(\" lambda = seq(-0.05, 0.45, len = 20), family=\\\"yjPower\\\"))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/boxCox.Rd\", class = \"Rd\", meta = list(\n+ structure(\" lambda = seq(-0.05, 0.45, len = 20), family=\\\"yjPower\\\"))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/boxCox.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n boxCoxVariable (list) = structure(list(structure(list(structure(\"Constructed Variable for Box-Cox Transformation\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"boxCoxVariable\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"boxCoxVariable\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"manip\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"regression\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -3689,15 +3689,15 @@\n structure(list(structure(list(structure(list(structure(\"boxcox\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"powerTransform\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"bcPower\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"mod <- lm(interlocks + 1 ~ assets, data=Ornstein)\\n\", Rd_tag = \"RCODE\"), \n structure(\"mod.aux <- update(mod, . ~ . + boxCoxVariable(interlocks + 1))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"summary(mod.aux)\\n\", Rd_tag = \"RCODE\"), structure(\"# avPlots(mod.aux, \\\"boxCoxVariable(interlocks + 1)\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/boxCoxVariable.Rd\", class = \"Rd\", meta = list(\n+ structure(\"summary(mod.aux)\\n\", Rd_tag = \"RCODE\"), structure(\"# avPlots(mod.aux, \\\"boxCoxVariable(interlocks + 1)\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/boxCoxVariable.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n boxTidwell (list) = structure(list(structure(list(structure(\"Box-Tidwell Transformations\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"boxTidwell\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"boxTidwell\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"boxTidwell.formula\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"boxTidwell.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -3799,15 +3799,15 @@\n structure(\", 531-550.\\n\", Rd_tag = \"TEXT\"), structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\" Fox, J. (2016)\\n\", Rd_tag = \"TEXT\"), structure(\" \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"Applied Regression Analysis and Generalized Linear Models\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\",\\n\", Rd_tag = \"TEXT\"), structure(\" Third Edition. Sage. \\n\", Rd_tag = \"TEXT\"), \n structure(\" \\n\", Rd_tag = \"TEXT\"), structure(\" Fox, J. and Weisberg, S. (2019) \\n\", Rd_tag = \"TEXT\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"An R Companion to Applied Regression\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", Third Edition, Sage.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n- structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"boxTidwell(prestige ~ income + education, ~ type + poly(women, 2), data=Prestige)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/boxTidwell.Rd\", class = \"Rd\", meta = list(\n+ structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"boxTidwell(prestige ~ income + education, ~ type + poly(women, 2), data=Prestige)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/boxTidwell.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n brief (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Print Abbreviated Ouput\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"brief\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"brief\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"brief.data.frame\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -4040,15 +4040,15 @@\n structure(\"brief(Duncan)\\n\", Rd_tag = \"RCODE\"), structure(\"brief(OBrienKaiser, elided=TRUE)\\n\", Rd_tag = \"RCODE\"), \n structure(\"brief(matrix(1:500, 10, 50))\\n\", Rd_tag = \"RCODE\"), \n structure(\"brief(lm)\\n\", Rd_tag = \"RCODE\"), structure(\"\\n\", Rd_tag = \"RCODE\"), \n structure(\"mod.prestige <- lm(prestige ~ education + income + type, Prestige)\\n\", Rd_tag = \"RCODE\"), \n structure(\"brief(mod.prestige, pvalues=TRUE)\\n\", Rd_tag = \"RCODE\"), \n structure(\"brief(mod.prestige, ~ type)\\n\", Rd_tag = \"RCODE\"), \n structure(\"mod.mroz <- glm(lfp ~ ., data=Mroz, family=binomial)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"brief(mod.mroz)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/brief.Rd\", class = \"Rd\", meta = list(\n+ structure(\"brief(mod.mroz)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/brief.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n car-defunct (list) = structure(list(structure(list(structure(\"Defunct Functions in the car Package\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"car-defunct\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"car-defunct\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"av.plot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"av.plots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -4180,15 +4180,15 @@\n structure(list(structure(\"skewPower\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" is replaced by \", Rd_tag = \"TEXT\"), structure(list(\n structure(list(structure(\"bcnPower\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\".\\n\", Rd_tag = \"TEXT\"), structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(list(structure(\"spread.level.plot\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" is replaced by \", Rd_tag = \"TEXT\"), structure(list(\n structure(list(structure(\"spreadLevelPlot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n- structure(\".\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\details\")), Rdfile = \"/build/1st/car-3.1-2/man/car-defunct.Rd\", class = \"Rd\", meta = list(\n+ structure(\".\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\details\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/car-defunct.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n car-deprecated (list) = structure(list(structure(list(structure(\"Deprecated Functions in the car Package\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"car-deprecated\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"car-deprecated\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"bootCase\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"bootCase.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -4210,15 +4210,15 @@\n structure(list(list(structure(\"...\", Rd_tag = \"TEXT\")), \n list(structure(\"arguments to pass to methods.\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\item\"), \n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\arguments\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\"These functions are replaced by \", Rd_tag = \"TEXT\"), \n structure(list(structure(list(structure(\"Boot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\".\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\details\"), \n structure(list(structure(\"See Also \", Rd_tag = \"TEXT\"), \n- structure(list(structure(list(structure(\"Boot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\")), Rdfile = \"/build/1st/car-3.1-2/man/car-deprecated.Rd\", class = \"Rd\", meta = list(\n+ structure(list(structure(list(structure(\"Boot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/car-deprecated.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n car-internal (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Internal Objects for the \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"car\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\pkg\"), \n structure(\" package\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"car-internal.Rd\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n@@ -4226,15 +4226,15 @@\n structure(list(structure(\".carEnv\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"misc\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\"These objects (currently only the \", Rd_tag = \"TEXT\"), \n structure(list(structure(\".carEnv\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" environment) are exported for\\n\", Rd_tag = \"TEXT\"), \n structure(\"technical reasons and are not for direct use.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\description\"), \n structure(list(structure(\"John Fox \", Rd_tag = \"TEXT\"), structure(list(\n- structure(\"jfox@mcmaster.ca\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\email\")), Rd_tag = \"\\\\author\")), Rdfile = \"/build/1st/car-3.1-2/man/car-internal.Rd\", class = \"Rd\", meta = list(\n+ structure(\"jfox@mcmaster.ca\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\email\")), Rd_tag = \"\\\\author\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/car-internal.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n carHexsticker (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"View the Official Hex Sticker for the car Package\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"carHexsticker\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"carHexsticker\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"misc\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -4243,15 +4243,15 @@\n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\"Used for its side effect of openning the hex sticker for the car package in your browser.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\value\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\"John Fox \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"jfox@mcmaster.ca\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\email\"), \n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(list(\n structure(\" # intended for interactive use\\n\", Rd_tag = \"VERB\"), \n structure(\"carHexsticker()\\n\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/carHexsticker.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/carHexsticker.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n carPalette (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Set or Retrieve \", Rd_tag = \"TEXT\"), structure(list(\n structure(\"car\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\pkg\"), \n structure(\" Package Color Palette\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"carPalette\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n@@ -4304,15 +4304,15 @@\n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"# Standard color palette\\n\", Rd_tag = \"RCODE\"), \n structure(\"palette()\\n\", Rd_tag = \"RCODE\"), structure(\"# car standard color palette\\n\", Rd_tag = \"RCODE\"), \n structure(\"carPalette()\\n\", Rd_tag = \"RCODE\"), structure(\"# set colors to all black\\n\", Rd_tag = \"RCODE\"), \n structure(\"carPalette(rep(\\\"black\\\", 8))\\n\", Rd_tag = \"RCODE\"), \n structure(\"# Use a custom color palette with 12 distinct colors\\n\", Rd_tag = \"RCODE\"), \n structure(\"carPalette(sample(colors(distinct=TRUE), 12))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"# restore default\\n\", Rd_tag = \"RCODE\"), structure(\"carPalette(\\\"default\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/carPalette.Rd\", class = \"Rd\", meta = list(\n+ structure(\"# restore default\\n\", Rd_tag = \"RCODE\"), structure(\"carPalette(\\\"default\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/carPalette.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n carWeb (list) = structure(list(structure(list(structure(\" Access to the R Companion to Applied Regression Website \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"carWeb\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"carWeb\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" interface \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" This function will access the website for \", Rd_tag = \"TEXT\"), \n@@ -4375,15 +4375,15 @@\n structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\"package by John Verzani \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" Fox, J. and Weisberg, S. (2019)\\n\", Rd_tag = \"TEXT\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"An R Companion to Applied Regression\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", Third Edition, Sage.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"\\n\", Rd_tag = \"RCODE\"), \n structure(list(structure(\" # meant for interactive use\\n\", Rd_tag = \"VERB\"), \n structure(\"carWeb()\\n\", Rd_tag = \"VERB\"), structure(\"carWeb(setup=TRUE)\\n\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/carWeb.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/carWeb.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n ceresPlots (list) = structure(list(structure(list(structure(\"Ceres Plots\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"ceresPlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"ceresPlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"ceresPlots.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"ceresPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -4570,15 +4570,15 @@\n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"An R Companion to Applied Regression\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", Third Edition, Sage.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(list(structure(list(structure(\"crPlots\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"avPlots\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"showLabels\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n- structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"ceresPlots(lm(prestige~income+education+type, data=Prestige), terms= ~ . - type)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/ceresPlots.Rd\", class = \"Rd\", meta = list(\n+ structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"ceresPlots(lm(prestige~income+education+type, data=Prestige), terms= ~ . - type)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/ceresPlots.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n compareCoefs (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Print estimated coefficients and their standard errors in a table\\n\", Rd_tag = \"TEXT\"), \n structure(\"for several regression models.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"compareCoefs\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"compareCoefs\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -4661,15 +4661,15 @@\n structure(\"mod2 <- update(mod1, subset=-c(6,16))\\n\", Rd_tag = \"RCODE\"), \n structure(\"mod3 <- update(mod1, . ~ . + type)\\n\", Rd_tag = \"RCODE\"), \n structure(\"mod4 <- update(mod1, . ~ . + I(income + education)) # aliased coef.\\n\", Rd_tag = \"RCODE\"), \n structure(\"compareCoefs(mod1)\\n\", Rd_tag = \"RCODE\"), \n structure(\"compareCoefs(mod1, mod2, mod4)\\n\", Rd_tag = \"RCODE\"), \n structure(\"compareCoefs(mod1, mod2, mod3, zvals=TRUE, pvals=TRUE)\\n\", Rd_tag = \"RCODE\"), \n structure(\"compareCoefs(mod1, mod2, se=FALSE)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"compareCoefs(mod1, mod1, vcov.=list(vcov, hccm))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/compareCoefs.Rd\", class = \"Rd\", meta = list(\n+ structure(\"compareCoefs(mod1, mod1, vcov.=list(vcov, hccm))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/compareCoefs.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n crPlots (list) = structure(list(structure(list(structure(\"Component+Residual (Partial Residual) Plots\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"crPlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"crPlots.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"crPlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"crp\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -4959,15 +4959,15 @@\n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"crPlots(lm(prestige ~ log2(income) + education + poly(women,2), data=Prestige))\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"crPlots(glm(partic != \\\"not.work\\\" ~ hincome + children, \\n\", Rd_tag = \"RCODE\"), \n structure(\" data=Womenlf, family=binomial), smooth=list(span=0.75))\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"# 3D C+R plot, requires the rgl, effects, and mgcv packages\\n\", Rd_tag = \"RCODE\"), \n structure(\"if (interactive() && require(rgl) && require(effects) && require(mgcv)){\\n\", Rd_tag = \"RCODE\"), \n structure(\"crPlot3d(lm(prestige ~ income*education + women, data=Prestige), \\n\", Rd_tag = \"RCODE\"), \n structure(\" \\\"income\\\", \\\"education\\\") \\n\", Rd_tag = \"RCODE\"), \n- structure(\"}\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/crPlots.Rd\", class = \"Rd\", meta = list(\n+ structure(\"}\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/crPlots.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n deltaMethod (list) = structure(list(structure(list(structure(\"Estimate and Standard Error of a Nonlinear Function of Estimated Regression \\n\", Rd_tag = \"TEXT\"), \n structure(\"Coefficients\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"deltaMethod\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"deltaMethod\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"deltaMethod.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -5329,15 +5329,15 @@\n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"m1 <- lm(time ~ t1 + t2, data = Transact) \\n\", Rd_tag = \"RCODE\"), \n structure(\"deltaMethod(m1, \\\"b1/b2\\\", parameterNames= paste(\\\"b\\\", 0:2, sep=\\\"\\\")) \\n\", Rd_tag = \"RCODE\"), \n structure(\"deltaMethod(m1, \\\"t1/t2\\\", rhs=1) # use names of preds. rather than coefs.\\n\", Rd_tag = \"RCODE\"), \n structure(\"deltaMethod(m1, \\\"t1/t2\\\", vcov=hccm) # use hccm function to est. vars.\\n\", Rd_tag = \"RCODE\"), \n structure(\"deltaMethod(m1, \\\"1/(Intercept)\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"# The next example invokes the default method by extracting the\\n\", Rd_tag = \"RCODE\"), \n structure(\"# vector of estimates and covariance matrix explicitly\\n\", Rd_tag = \"RCODE\"), \n- structure(\"deltaMethod(coef(m1), \\\"t1/t2\\\", vcov.=vcov(m1))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/deltaMethod.Rd\", class = \"Rd\", meta = list(\n+ structure(\"deltaMethod(coef(m1), \\\"t1/t2\\\", vcov.=vcov(m1))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/deltaMethod.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n densityPlot (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Nonparametric Density Estimates\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"densityPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"densityPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"densityPlot.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -5623,15 +5623,15 @@\n structure(\" legend=c(\\\"adaptive kernel\\\", \\\"kernel\\\"), inset=0.02)\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(adaptiveKernel(UN$infantMortality, from=0, adjust=0.75), col=\\\"magenta\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"lines(density(na.omit(UN$infantMortality), from=0, adjust=0.75), col=\\\"blue\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"rug(UN$infantMortality, col=\\\"cyan\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"legend(\\\"topright\\\", col=c(\\\"magenta\\\", \\\"blue\\\"), lty=1,\\n\", Rd_tag = \"RCODE\"), \n structure(\" legend=c(\\\"adaptive kernel\\\", \\\"kernel\\\"), inset=0.02)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/densityPlot.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/densityPlot.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n dfbetaPlots (list) = structure(list(structure(list(structure(\"dfbeta and dfbetas Index Plots\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"dfbetaPlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"dfbetaPlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"dfbetasPlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"dfbetaPlots.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -5756,15 +5756,15 @@\n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"An R Companion to Applied Regression\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", Third Edition, Sage.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(list(structure(list(structure(\"dfbeta\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" ,\", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"dfbetas\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"dfbetaPlots(lm(prestige ~ income + education + type, data=Duncan))\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"dfbetasPlots(glm(partic != \\\"not.work\\\" ~ hincome + children, \\n\", Rd_tag = \"RCODE\"), \n- structure(\" data=Womenlf, family=binomial))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/dfbetaPlots.Rd\", class = \"Rd\", meta = list(\n+ structure(\" data=Womenlf, family=binomial))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/dfbetaPlots.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n durbinWatsonTest (list) = structure(list(structure(list(structure(\"Durbin-Watson Test for Autocorrelated Errors\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"durbinWatsonTest\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"durbinWatsonTest\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"dwt\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"durbinWatsonTest.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -5844,15 +5844,15 @@\n structure(list(structure(\"lm\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" method.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\note\"), \n structure(list(structure(\"John Fox \", Rd_tag = \"TEXT\"), structure(list(\n structure(\"jfox@mcmaster.ca\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\email\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(\" \\n\", Rd_tag = \"TEXT\"), structure(\" Fox, J. (2016)\\n\", Rd_tag = \"TEXT\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"Applied Regression Analysis and Generalized Linear Models\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", Third Edition. Sage.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n- structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"durbinWatsonTest(lm(fconvict ~ tfr + partic + degrees + mconvict, data=Hartnagel))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/durbinWatsonTest.Rd\", class = \"Rd\", meta = list(\n+ structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"durbinWatsonTest(lm(fconvict ~ tfr + partic + degrees + mconvict, data=Hartnagel))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/durbinWatsonTest.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n hccm (list) = structure(list(structure(list(structure(\"Heteroscedasticity-Corrected Covariance Matrices\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"hccm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"hccm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"hccm.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"hccm.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -5974,15 +5974,15 @@\n structure(\"## nationUS -1.032e+00 1.109e-05 1.003e+00 1.017e+00 2.128e+00\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"print(hccm(mod), digits=4) \\n\", Rd_tag = \"RCODE\"), \n structure(\"## (Intercept) assets nationOTH nationUK nationUS\\n\", Rd_tag = \"RCODE\"), \n structure(\"## (Intercept) 1.664e+00 -3.957e-05 -1.569e+00 -1.611e+00 -1.572e+00\\n\", Rd_tag = \"RCODE\"), \n structure(\"## assets -3.957e-05 6.752e-09 2.275e-05 3.051e-05 2.231e-05\\n\", Rd_tag = \"RCODE\"), \n structure(\"## nationOTH -1.569e+00 2.275e-05 8.209e+00 1.539e+00 1.520e+00\\n\", Rd_tag = \"RCODE\"), \n structure(\"## nationUK -1.611e+00 3.051e-05 1.539e+00 4.476e+00 1.543e+00\\n\", Rd_tag = \"RCODE\"), \n- structure(\"## nationUS -1.572e+00 2.231e-05 1.520e+00 1.543e+00 1.946e+00\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/hccm.Rd\", class = \"Rd\", meta = list(\n+ structure(\"## nationUS -1.572e+00 2.231e-05 1.520e+00 1.543e+00 1.946e+00\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/hccm.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n hideOutput (NULL) = NULL\n \n hist.boot (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Methods Functions to Support \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"boot\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n@@ -6248,15 +6248,15 @@\n structure(\",\\n\", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"density\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", Fox and Weisberg (2017), cited above \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"m1 <- lm(Fertility ~ ., swiss)\\n\", Rd_tag = \"RCODE\"), \n structure(\"betahat.boot <- Boot(m1, R=99) # 99 bootstrap samples--too small to be useful\\n\", Rd_tag = \"RCODE\"), \n structure(\"summary(betahat.boot) # default summary\\n\", Rd_tag = \"RCODE\"), \n structure(\"confint(betahat.boot)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"hist(betahat.boot)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/hist.boot.Rd\", class = \"Rd\", meta = list(\n+ structure(\"hist(betahat.boot)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/hist.boot.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n infIndexPlot (list) = structure(list(structure(list(structure(\"Influence Index Plot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"infIndexPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"infIndexPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"influenceIndexPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"infIndexPlot.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -6394,15 +6394,15 @@\n structure(\" gm1 <- glmer(cbind(incidence, size - incidence) ~ period + (1 | herd),\\n\", Rd_tag = \"VERB\"), \n structure(\" data = cbpp, family = binomial) # from ?glmer\\n\", Rd_tag = \"VERB\"), \n structure(\" infIndexPlot(influence(gm1, \\\"herd\\\", maxfun=100))\\n\", Rd_tag = \"VERB\"), \n structure(\" infIndexPlot(influence(gm1, maxfun=100))\\n\", Rd_tag = \"VERB\"), \n structure(\" gm1.11 <- update(gm1, subset = herd != 11) # check deleting herd 11\\n\", Rd_tag = \"VERB\"), \n structure(\" compareCoefs(gm1, gm1.11)\\n\", Rd_tag = \"VERB\"), \n structure(\" }\\n\", Rd_tag = \"VERB\"), structure(\" \", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/infIndexPlot.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/infIndexPlot.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n influence-mixed-models (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Influence Diagnostics for Mixed-Effects Models\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"influence.mixed.models\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"influence.mixed.models\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"influence.lme\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -6568,15 +6568,15 @@\n structure(\"infIndexPlot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\".\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"\\n\", Rd_tag = \"RCODE\"), \n structure(\"if (require(nlme)){\\n\", Rd_tag = \"RCODE\"), \n structure(\" print(fm1 <- lme(distance ~ age, data = Orthodont))\\n\", Rd_tag = \"RCODE\"), \n structure(\" infIndexPlot(influence(fm1, \\\"Subject\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\" infIndexPlot(influence(fm1))\\n\", Rd_tag = \"RCODE\"), \n- structure(\" }\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/influence-mixed-models.Rd\", class = \"Rd\", meta = list(\n+ structure(\" }\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/influence-mixed-models.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n influencePlot (list) = structure(list(structure(list(structure(\"Regression Influence Plot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"influencePlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"influencePlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"influencePlot.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"influencePlot.lmerMod\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -6680,15 +6680,15 @@\n structure(\"hatvalues\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"showLabels\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"influencePlot(lm(prestige ~ income + education, data=Duncan))\\n\", Rd_tag = \"RCODE\"), \n structure(list(structure(\" # requires user interaction to identify points\\n\", Rd_tag = \"VERB\"), \n structure(\"influencePlot(lm(prestige ~ income + education, data=Duncan), \\n\", Rd_tag = \"VERB\"), \n structure(\" id=list(method=\\\"identify\\\"))\\n\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/influencePlot.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/influencePlot.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n invResPlot (list) = structure(list(structure(list(structure(\"Inverse Response Plots to Transform the Response\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"invResPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"invResPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"inverseResponsePlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"inverseResponsePlot.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -6800,15 +6800,15 @@\n structure(\", Fourth Edition, Wiley, Chapter 7.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(list(structure(list(structure(\"invTranPlot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"powerTransform\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \\n\", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"showLabels\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"m2 <- lm(rate ~ log(len) + log(adt) + slim + shld + log(sigs1), Highway1)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"invResPlot(m2)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/invResPlot.Rd\", class = \"Rd\", meta = list(\n+ structure(\"invResPlot(m2)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/invResPlot.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n invTranPlot (list) = structure(list(structure(list(structure(\" Choose a Predictor Transformation Visually or Numerically \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"invTranPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"invTranPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"invTranPlot.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"invTranPlot.formula\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -6989,15 +6989,15 @@\n structure(list(structure(\"Applied Linear Regression\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", Fourth Edition, Wiley, Chapter 7. \\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\" \", Rd_tag = \"TEXT\"), structure(list(\n structure(list(structure(\"inverseResponsePlot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\",\", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"optimize\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"with(UN, invTranPlot(ppgdp, infantMortality))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"with(UN, invTranEstimate(ppgdp, infantMortality))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/invTranPlot.Rd\", class = \"Rd\", meta = list(\n+ structure(\"with(UN, invTranEstimate(ppgdp, infantMortality))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/invTranPlot.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n leveneTest (list) = structure(list(structure(list(structure(\"Levene's Test\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"leveneTest\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"leveneTest\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"leveneTest.formula\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"leveneTest.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -7071,15 +7071,15 @@\n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"An R Companion to Applied Regression\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", Third Edition, Sage.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"with(Moore, leveneTest(conformity, fcategory))\\n\", Rd_tag = \"RCODE\"), \n structure(\"with(Moore, leveneTest(conformity, interaction(fcategory, partner.status)))\\n\", Rd_tag = \"RCODE\"), \n structure(\"leveneTest(conformity ~ fcategory*partner.status, data=Moore)\\n\", Rd_tag = \"RCODE\"), \n structure(\"leveneTest(lm(conformity ~ fcategory*partner.status, data=Moore))\\n\", Rd_tag = \"RCODE\"), \n structure(\"leveneTest(conformity ~ fcategory*partner.status, data=Moore, center=mean)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"leveneTest(conformity ~ fcategory*partner.status, data=Moore, center=mean, trim=0.1)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/leveneTest.Rd\", class = \"Rd\", meta = list(\n+ structure(\"leveneTest(conformity ~ fcategory*partner.status, data=Moore, center=mean, trim=0.1)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/leveneTest.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n leveragePlots (list) = structure(list(structure(list(structure(\"Regression Leverage Plots\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"leveragePlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"leveragePlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"leveragePlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"leveragePlot.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -7214,15 +7214,15 @@\n structure(\", Third Edition, Sage.\\n\", Rd_tag = \"TEXT\"), \n structure(\" \\n\", Rd_tag = \"TEXT\"), structure(\" Sall, J. (1990)\\n\", Rd_tag = \"TEXT\"), \n structure(\" Leverage plots for general linear hypotheses.\\n\", Rd_tag = \"TEXT\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"American Statistician\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"44\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\bold\"), \n structure(\", 308--315.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(list(structure(list(structure(\"avPlots\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n- structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"leveragePlots(lm(prestige~(income+education)*type, data=Duncan))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/leveragePlots.Rd\", class = \"Rd\", meta = list(\n+ structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"leveragePlots(lm(prestige~(income+education)*type, data=Duncan))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/leveragePlots.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n linearHypothesis (list) = structure(list(structure(list(structure(\"Test Linear Hypothesis\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"linearHypothesis\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"linearHypothesis\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"lht\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"linearHypothesis.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -7843,15 +7843,15 @@\n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"\\n\", Rd_tag = \"RCODE\"), \n structure(\"if (require(nnet)){\\n\", Rd_tag = \"RCODE\"), \n structure(\" print(m <- multinom(partic ~ hincome + children, data=Womenlf))\\n\", Rd_tag = \"RCODE\"), \n structure(\" print(coefs <- as.vector(outer(c(\\\"not.work.\\\", \\\"parttime.\\\"), \\n\", Rd_tag = \"RCODE\"), \n structure(\" c(\\\"hincome\\\", \\\"childrenpresent\\\"),\\n\", Rd_tag = \"RCODE\"), \n structure(\" paste0)))\\n\", Rd_tag = \"RCODE\"), \n structure(\" linearHypothesis(m, coefs) # ominbus Wald test\\n\", Rd_tag = \"RCODE\"), \n- structure(\"}\\n\", Rd_tag = \"RCODE\"), structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/linearHypothesis.Rd\", class = \"Rd\", meta = list(\n+ structure(\"}\\n\", Rd_tag = \"RCODE\"), structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/linearHypothesis.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n logit (list) = structure(list(structure(list(structure(\"Logit Transformation\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"logit\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"logit\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"manip\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" Compute the logit transformation of proportions or percentages.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\description\"), \n@@ -7908,15 +7908,15 @@\n structure(\"jfox@mcmaster.ca\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\email\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" Fox, J. and Weisberg, S. (2019) \\n\", Rd_tag = \"TEXT\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"An R Companion to Applied Regression\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", Third Edition, Sage.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(list(structure(list(structure(\"probabilityAxis\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"save.opt <- options(digits=4)\\n\", Rd_tag = \"RCODE\"), \n structure(\"logit(.1*0:10)\\n\", Rd_tag = \"RCODE\"), structure(\"logit(.1*0:10, adjust=0)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"options(save.opt)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/logit.Rd\", class = \"Rd\", meta = list(\n+ structure(\"options(save.opt)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/logit.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n marginalModelPlot (list) = structure(list(structure(list(structure(\"Marginal Model Plotting\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"mmps\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"mmps\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"mmp\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"mmp.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -8211,15 +8211,15 @@\n structure(\"p1 <- lm(prestige ~ income + education, Prestige)\\n\", Rd_tag = \"RCODE\"), \n structure(\"mmps(p1, sd=TRUE)\\n\", Rd_tag = \"RCODE\"), structure(\"# condition on type:\\n\", Rd_tag = \"RCODE\"), \n structure(\"mmps(p1, ~. | type)\\n\", Rd_tag = \"RCODE\"), \n structure(\"# logisitic regression example\\n\", Rd_tag = \"RCODE\"), \n structure(\"# smoothers return warning messages.\\n\", Rd_tag = \"RCODE\"), \n structure(\"# fit a separate smoother and color for each type of occupation.\\n\", Rd_tag = \"RCODE\"), \n structure(\"m1 <- glm(lfp ~ ., family=binomial, data=Mroz)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"mmps(m1)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/marginalModelPlot.Rd\", class = \"Rd\", meta = list(\n+ structure(\"mmps(m1)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/marginalModelPlot.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n mcPlots (list) = structure(list(structure(list(structure(\"Draw Linear Model Marginal and Conditional Plots in Parallel or Overlaid\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"mcPlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"mcPlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"mcPlots.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"mcPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -8456,15 +8456,15 @@\n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"ceresPlots\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\",\\n\", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"dataEllipse\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"m1 <- lm(partic ~ tfr + menwage + womwage + debt + parttime, data = Bfox)\\n\", Rd_tag = \"RCODE\"), \n structure(\"mcPlot(m1, \\\"womwage\\\")\\n\", Rd_tag = \"RCODE\"), \n- structure(\"mcPlot(m1, \\\"womwage\\\", overlaid=FALSE, ellipse=TRUE)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/mcPlots.Rd\", class = \"Rd\", meta = list(\n+ structure(\"mcPlot(m1, \\\"womwage\\\", overlaid=FALSE, ellipse=TRUE)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/mcPlots.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n ncvTest (list) = structure(list(structure(list(structure(\"Score Test for Non-Constant Error Variance\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"ncvTest\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"ncvTest\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"ncvTest.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"ncvTest.glm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -8529,15 +8529,15 @@\n structure(\", Fourth Edition, Wiley.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(list(structure(list(structure(\"hccm\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"spreadLevelPlot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"ncvTest(lm(interlocks ~ assets + sector + nation, data=Ornstein))\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"ncvTest(lm(interlocks ~ assets + sector + nation, data=Ornstein), \\n\", Rd_tag = \"RCODE\"), \n- structure(\" ~ assets + sector + nation, data=Ornstein)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/ncvTest.Rd\", class = \"Rd\", meta = list(\n+ structure(\" ~ assets + sector + nation, data=Ornstein)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/ncvTest.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n outlierTest (list) = structure(list(structure(list(structure(\"Bonferroni Outlier Test\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"outlierTest\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"outlierTest\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"outlierTest.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"outlierTest.glm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -8640,15 +8640,15 @@\n structure(\", Fourth Edition, Wiley.\\n\", Rd_tag = \"TEXT\"), \n structure(\" \\n\", Rd_tag = \"TEXT\"), structure(\" Williams, D. A. (1987)\\n\", Rd_tag = \"TEXT\"), \n structure(\" Generalized linear model diagnostics using the deviance and single\\n\", Rd_tag = \"TEXT\"), \n structure(\" case deletions. \", Rd_tag = \"TEXT\"), structure(list(\n structure(\"Applied Statistics\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"36\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\bold\"), \n structure(\", 181--191.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n- structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"outlierTest(lm(prestige ~ income + education, data=Duncan))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/outlierTest.Rd\", class = \"Rd\", meta = list(\n+ structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"outlierTest(lm(prestige ~ income + education, data=Duncan))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/outlierTest.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n panel.car (list) = structure(list(structure(list(structure(\"Panel Function for Coplots\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"panel.car\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"panel.car\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"aplot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" a panel function for use with \", Rd_tag = \"TEXT\"), \n@@ -8705,15 +8705,15 @@\n structure(\" a panel in a coplot.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\value\"), \n structure(list(structure(\"John Fox \", Rd_tag = \"TEXT\"), structure(list(\n structure(\"jfox@mcmaster.ca\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\email\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(list(structure(list(structure(\"coplot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"regLine\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"coplot(prestige ~ income|education, panel=panel.car, \\n\", Rd_tag = \"RCODE\"), \n- structure(\" col=\\\"red\\\", data=Prestige)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/panel.car.Rd\", class = \"Rd\", meta = list(\n+ structure(\" col=\\\"red\\\", data=Prestige)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/panel.car.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n poTest (list) = structure(list(structure(list(structure(\"Test for Proportional Odds in the Proportional-Odds Logistic-Regression Model\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"poTest\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"poTest\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"poTest.polr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"print.poTest\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -8755,15 +8755,15 @@\n structure(list(structure(\"jfox@mcmaster.ca\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\email\"), \n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" R. Brant, \\\"Assessing proportionality in the proportional odds model for ordinal logistic regression.\\\"\\n\", Rd_tag = \"TEXT\"), \n structure(\" Biometrics 46: 1171--1178, 1990.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"if (require(\\\"MASS\\\")){\\n\", Rd_tag = \"RCODE\"), \n structure(\" .W <- Womenlf\\n\", Rd_tag = \"RCODE\"), structure(\" .W$partic <- factor(.W$partic, levels=c(\\\"not.work\\\", \\\"parttime\\\", \\\"fulltime\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\" poTest(polr(partic ~ hincome + children + region, data=.W))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"}\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/poTest.Rd\", class = \"Rd\", meta = list(\n+ structure(\"}\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/poTest.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n pointLabel (list) = structure(list(structure(list(structure(\" Label placement for points to avoid overlaps \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"pointLabel\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"pointLabel\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"aplot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" Use optimization routines to find good locations for point labels\\n\", Rd_tag = \"TEXT\"), \n@@ -8903,15 +8903,15 @@\n structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"n <- 50\\n\", Rd_tag = \"RCODE\"), \n structure(\"x <- rnorm(n)*10\\n\", Rd_tag = \"RCODE\"), structure(\"y <- rnorm(n)*10\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(x, y, col = \\\"red\\\", pch = 20)\\n\", Rd_tag = \"RCODE\"), \n structure(\"pointLabel(x, y, as.character(round(x,5)), offset = 0, cex = .7)\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"plot(x, y, col = \\\"red\\\", pch = 20)\\n\", Rd_tag = \"RCODE\"), \n structure(\"pointLabel(x, y, expression(over(alpha, beta[123])), offset = 0, cex = .8)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/pointLabel.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/pointLabel.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n powerTransform (list) = structure(list(structure(list(structure(\"Finding Univariate or Multivariate Power Transformations\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"powerTransform\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"powerTransform\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"powerTransform.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"powerTransform.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -9210,15 +9210,15 @@\n structure(list(structure(\" # uses the lme4 package\\n\", Rd_tag = \"VERB\"), \n structure(\" data <- reshape(LoBD[1:20, ], varying=names(LoBD)[-1], direction=\\\"long\\\", v.names=\\\"y\\\")\\n\", Rd_tag = \"VERB\"), \n structure(\" names(data) <- c(\\\"pool\\\", \\\"assay\\\", \\\"y\\\", \\\"id\\\")\\n\", Rd_tag = \"VERB\"), \n structure(\" data$assay <- factor(data$assay)\\n\", Rd_tag = \"VERB\"), \n structure(\" require(lme4)\\n\", Rd_tag = \"VERB\"), \n structure(\" m2 <- lmer(y ~ pool + (1|assay), data)\\n\", Rd_tag = \"VERB\"), \n structure(\" summary(l2 <- powerTransform(m2, family=\\\"bcnPower\\\", verbose=TRUE))\\n\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/powerTransform.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/powerTransform.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n qqPlot (list) = structure(list(structure(list(structure(\"Quantile-Comparison Plot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"qqPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"qqPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"qqp\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"qqPlot.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -9511,15 +9511,15 @@\n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"showLabels\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"x<-rchisq(100, df=2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"qqPlot(x)\\n\", Rd_tag = \"RCODE\"), structure(\"qqPlot(x, dist=\\\"chisq\\\", df=2, envelope=list(style=\\\"lines\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"qqPlot(~ income, data=Prestige, subset = type == \\\"prof\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"qqPlot(income ~ type, data=Prestige, layout=c(1, 3))\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"qqPlot(lm(prestige ~ income + education + type, data=Duncan),\\n\", Rd_tag = \"RCODE\"), \n- structure(\"\\tenvelope=.99)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/qqPlot.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\tenvelope=.99)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/qqPlot.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n recode (list) = structure(list(structure(list(structure(\"Recode a Variable\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"recode\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"recode\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"Recode\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"manip\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -9743,15 +9743,15 @@\n structure(list(structure(list(structure(list(structure(\"cut\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"factor\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"x <- rep(1:3, 3)\\n\", Rd_tag = \"RCODE\"), \n structure(\"x\\n\", Rd_tag = \"RCODE\"), structure(\"recode(x, \\\"c(1, 2) = 'A'; \\n\", Rd_tag = \"RCODE\"), \n structure(\" else = 'B'\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"Recode(x, \\\"1~2 -> ':=1' // 3 -> ';=2'\\\", to.value=\\\"->\\\", \\n\", Rd_tag = \"RCODE\"), \n- structure(\" interval=\\\"~\\\", separator=\\\"//\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/recode.Rd\", class = \"Rd\", meta = list(\n+ structure(\" interval=\\\"~\\\", separator=\\\"//\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/recode.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n regLine (list) = structure(list(structure(list(structure(\"Plot Regression Line\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"regLine\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"regLine\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"aplot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" Plots a regression line on a scatterplot; the line is plotted \\n\", Rd_tag = \"TEXT\"), \n@@ -9811,15 +9811,15 @@\n structure(list(structure(\"John Fox \", Rd_tag = \"TEXT\"), structure(list(\n structure(\"jfox@mcmaster.ca\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\email\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(list(structure(list(structure(\"abline\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"lines\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"plot(repwt ~ weight, pch=c(1,2)[sex], data=Davis)\\n\", Rd_tag = \"RCODE\"), \n structure(\"regLine(lm(repwt~weight, subset=sex==\\\"M\\\", data=Davis))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"regLine(lm(repwt~weight, subset=sex==\\\"F\\\", data=Davis), lty=2)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/regLine.Rd\", class = \"Rd\", meta = list(\n+ structure(\"regLine(lm(repwt~weight, subset=sex==\\\"F\\\", data=Davis), lty=2)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/regLine.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n residualPlots (list) = structure(list(structure(list(structure(\"Residual Plots for Linear and Generalized Linear Models\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"residualPlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"residualPlots\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"residualPlots.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"residualPlots.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -10152,15 +10152,15 @@\n structure(list(structure(\"lm\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"identify\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\",\\n\", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"showLabels\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"m1 <- lm(prestige ~ income + type, data=Prestige)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"residualPlots(m1)\\n\", Rd_tag = \"RCODE\"), structure(\"residualPlots(m1, terms= ~ 1 | type) # plot vs. yhat grouping by type\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/residualPlots.Rd\", class = \"Rd\", meta = list(\n+ structure(\"residualPlots(m1)\\n\", Rd_tag = \"RCODE\"), structure(\"residualPlots(m1, terms= ~ 1 | type) # plot vs. yhat grouping by type\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/residualPlots.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n safeDeparse (closure) = function (obj) \n {\n tryCatch({\n deparse(obj)\n }, error = function(e) {\n@@ -10634,15 +10634,15 @@\n structure(\" })\\n\", Rd_tag = \"RCODE\"), structure(\"}\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\t}\\n\", Rd_tag = \"RCODE\"), structure(\"\\t\", Rd_tag = \"RCODE\"), \n structure(list(structure(\" # requires user interaction to identify points\\n\", Rd_tag = \"VERB\"), \n structure(\"# drag right mouse button to identify points, click right button in open area to exit\\n\", Rd_tag = \"VERB\"), \n structure(\"scatter3d(prestige ~ income + education, data=Duncan, id=list(method=\\\"identify\\\"))\\n\", Rd_tag = \"VERB\"), \n structure(\"scatter3d(prestige ~ income + education | type, data=Duncan, id=list(method=\\\"identify\\\"))\\n\", Rd_tag = \"VERB\"), \n structure(\" \", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/scatter3d.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/scatter3d.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n scatterplot (list) = structure(list(structure(list(structure(\"Enhanced Scatterplots with Marginal Boxplots, Point Marking, Smoothers, and More\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"scatterplot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"scatterplot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"scatterplot.formula\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"scatterplot.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -11072,15 +11072,15 @@\n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"scatterplot(vocabulary ~ education, jitter=list(x=1, y=1),\\n\", Rd_tag = \"RCODE\"), \n structure(\" data=Vocab, smooth=FALSE, lwd=3)\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"scatterplot(infantMortality ~ ppgdp, log=\\\"xy\\\", data=UN, id=list(n=5))\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"scatterplot(income ~ type, data=Prestige)\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(list(structure(\" # interactive point identification\\n\", Rd_tag = \"VERB\"), \n structure(\" # remember to exit from point-identification mode\\n\", Rd_tag = \"VERB\"), \n structure(\" scatterplot(infantMortality ~ ppgdp, id=list(method=\\\"identify\\\"), data=UN)\\n\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/scatterplot.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/scatterplot.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n scatterplotMatrix (list) = structure(list(structure(list(structure(\"Scatterplot Matrices\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"scatterplotMatrix\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"scatterplotMatrix\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"scatterplotMatrix.formula\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"scatterplotMatrix.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -11458,15 +11458,15 @@\n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"ScatterplotSmoothers\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\".\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"scatterplotMatrix(~ income + education + prestige | type, data=Duncan)\\n\", Rd_tag = \"RCODE\"), \n structure(\"scatterplotMatrix(~ income + education + prestige | type, data=Duncan,\\n\", Rd_tag = \"RCODE\"), \n structure(\" regLine=FALSE, smooth=list(span=1))\\n\", Rd_tag = \"RCODE\"), \n structure(\"scatterplotMatrix(~ income + education + prestige,\\n\", Rd_tag = \"RCODE\"), \n- structure(\" data=Duncan, id=TRUE, smooth=list(method=gamLine))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/scatterplotMatrix.Rd\", class = \"Rd\", meta = list(\n+ structure(\" data=Duncan, id=TRUE, smooth=list(method=gamLine))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/scatterplotMatrix.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n showLabels (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\" Functions to Identify and Mark Extreme Points in a 2D Plot.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"showLabels\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"showLabels\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" utilities \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -11625,15 +11625,15 @@\n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"plot(income ~ education, Prestige)\\n\", Rd_tag = \"RCODE\"), \n structure(\"with(Prestige, showLabels(education, income,\\n\", Rd_tag = \"RCODE\"), \n structure(\" labels = rownames(Prestige), method=list(\\\"x\\\", \\\"y\\\"), n=3))\\n\", Rd_tag = \"RCODE\"), \n structure(\"m <- lm(income ~ education, Prestige)\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(income ~ education, Prestige)\\n\", Rd_tag = \"RCODE\"), \n structure(\"abline(m)\\n\", Rd_tag = \"RCODE\"), structure(\"with(Prestige, showLabels(education, income,\\n\", Rd_tag = \"RCODE\"), \n- structure(\" labels=rownames(Prestige), method=abs(residuals(m)), n=4))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/showLabels.Rd\", class = \"Rd\", meta = list(\n+ structure(\" labels=rownames(Prestige), method=abs(residuals(m)), n=4))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/showLabels.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n sigmaHat (list) = structure(list(structure(list(structure(\" Return the scale estimate for a regression model \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"sigmaHat\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"sigmaHat\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"sigmaHat.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"sigmaHat.glm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -11653,15 +11653,15 @@\n structure(\". For a glm object, the returned quantity is\\n\", Rd_tag = \"TEXT\"), \n structure(\"the square root of the estimated dispersion parameter.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\details\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" A nonnegative number\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\value\"), \n structure(list(structure(\"Sanford Weisberg, \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"sandy@umn.edu\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\email\"), \n structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"m1 <- lm(prestige ~ income + education, data=Duncan)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"sigmaHat(m1)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/sigmaHat.Rd\", class = \"Rd\", meta = list(\n+ structure(\"sigmaHat(m1)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/sigmaHat.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n some (list) = structure(list(structure(list(structure(\"Sample a Few Elements of an Object\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"some\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"some\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"some.data.frame\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"some.matrix\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -11710,15 +11710,15 @@\n structure(list(structure(list(structure(list(structure(\"head\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"tail\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"brief\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\".\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"some(Duncan)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"some(Duncan, cols=names(Duncan)[1:3])\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/some.Rd\", class = \"Rd\", meta = list(\n+ structure(\"some(Duncan, cols=names(Duncan)[1:3])\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/some.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n spreadLevelPlot (list) = structure(list(structure(list(structure(\"Spread-Level Plots\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"spreadLevelPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"spreadLevelPlot\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"slp\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"spreadLevelPlot.formula\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -11944,15 +11944,15 @@\n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"Understanding Robust and Exploratory Data Analysis.\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\" Wiley.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(list(structure(list(structure(\"hccm\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"ncvTest\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"spreadLevelPlot(interlocks + 1 ~ nation, data=Ornstein)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"slp(lm(interlocks + 1 ~ assets + sector + nation, data=Ornstein))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/spreadLevelPlot.Rd\", class = \"Rd\", meta = list(\n+ structure(\"slp(lm(interlocks + 1 ~ assets + sector + nation, data=Ornstein))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/spreadLevelPlot.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n strings2factors (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Convert Character-String Variables in a Data Frame to Factors\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"strings2factors\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"strings2factors\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"strings2factors.data.frame\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -12011,15 +12011,15 @@\n structure(\"M$partner <- as.character(Moore$partner.status)\\n\", Rd_tag = \"RCODE\"), \n structure(\"M$fcat <- as.character(Moore$fcategory)\\n\", Rd_tag = \"RCODE\"), \n structure(\"M$names <- rownames(M) # values are unique\\n\", Rd_tag = \"RCODE\"), \n structure(\"str(M)\\n\", Rd_tag = \"RCODE\"), structure(\"str(strings2factors(M))\\n\", Rd_tag = \"RCODE\"), \n structure(\"str(strings2factors(M,\\n\", Rd_tag = \"RCODE\"), \n structure(\" levels=list(partner=c(\\\"low\\\", \\\"high\\\"), fcat=c(\\\"low\\\", \\\"medium\\\", \\\"high\\\"))))\\n\", Rd_tag = \"RCODE\"), \n structure(\"str(strings2factors(M, which=\\\"partner\\\", levels=list(partner=c(\\\"low\\\", \\\"high\\\"))))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"str(strings2factors(M, not=\\\"partner\\\", exclude.unique=FALSE))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/strings2factors.Rd\", class = \"Rd\", meta = list(\n+ structure(\"str(strings2factors(M, not=\\\"partner\\\", exclude.unique=FALSE))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/strings2factors.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n subsets (list) = structure(list(structure(list(structure(\"Plot Output from regsubsets Function in leaps package\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"subsets\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"subsets\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"subsets.regsubsets\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"hplot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -12143,15 +12143,15 @@\n structure(\" \\n\", Rd_tag = \"TEXT\"), structure(\" Fox, J. and Weisberg, S. (2019) \\n\", Rd_tag = \"TEXT\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"An R Companion to Applied Regression\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", Third Edition, Sage.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(list(structure(list(structure(\"regsubsets\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\", Rd_option = structure(\"leaps\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"if (require(leaps)){\\n\", Rd_tag = \"RCODE\"), \n structure(\" subsets(regsubsets(undercount ~ ., data=Ericksen),\\n\", Rd_tag = \"RCODE\"), \n structure(\" legend=c(3.5, -37))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"}\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/subsets.Rd\", class = \"Rd\", meta = list(\n+ structure(\"}\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/subsets.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n symbox (list) = structure(list(structure(list(structure(\"Boxplots for transformations to symmetry\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"symbox\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"symbox\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"symbox.formula\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"symbox.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -12268,15 +12268,15 @@\n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"boxcox\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"bcPower\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"yjPower\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"symbox(~ income, data=Prestige)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"symbox(lm(wages ~ education + poly(age, 2) + sex, data=SLID))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/symbox.Rd\", class = \"Rd\", meta = list(\n+ structure(\"symbox(lm(wages ~ education + poly(age, 2) + sex, data=SLID))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/symbox.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n testTransform (list) = structure(list(structure(list(structure(\"Likelihood-Ratio Tests for Univariate or Multivariate Power Transformations\\n\", Rd_tag = \"TEXT\"), \n structure(\"to Normality\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"testTransform\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"testTransform\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"testTransform.powerTransform\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -12359,15 +12359,15 @@\n structure(\"bcnPower\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" for examples of the use of this function and other tests that might be of interest in some circumstances. \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"summary(a3 <- powerTransform(cbind(len, adt, trks, sigs1) ~ htype, Highway1))\\n\", Rd_tag = \"RCODE\"), \n structure(\"# test lambda = (0 0 0 -1)\\n\", Rd_tag = \"RCODE\"), \n structure(\"testTransform(a3, c(0, 0, 0, -1))\\n\", Rd_tag = \"RCODE\"), \n structure(\"summary(q1 <- powerTransform(lm(cbind(LoBD$I1L2, LoBD$I1L1) ~ pool, LoBD), family=\\\"bcnPower\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"testTransform(q1, c(.3, .8))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/testTransform.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/testTransform.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n vif (list) = structure(list(structure(list(structure(\"Variance Inflation Factors\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"vif\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"vif\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"vif.default\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"vif.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -12498,15 +12498,15 @@\n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"An R Companion to Applied Regression\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", Third Edition, Sage.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"vif(lm(prestige ~ income + education, data=Duncan))\\n\", Rd_tag = \"RCODE\"), \n structure(\"vif(lm(prestige ~ income + education + type, data=Duncan))\\n\", Rd_tag = \"RCODE\"), \n structure(\"vif(lm(prestige ~ (income + education)*type, data=Duncan),\\n\", Rd_tag = \"RCODE\"), \n structure(\" type=\\\"terms\\\") # not recommended\\n\", Rd_tag = \"RCODE\"), \n structure(\"vif(lm(prestige ~ (income + education)*type, data=Duncan),\\n\", Rd_tag = \"RCODE\"), \n- structure(\" type=\\\"predictor\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/vif.Rd\", class = \"Rd\", meta = list(\n+ structure(\" type=\\\"predictor\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/vif.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n wcrossprod (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Weighted Matrix Crossproduct\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"wcrossprod\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"wcrossprod\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" array\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -12559,15 +12559,15 @@\n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"X <- cbind(x1, x2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Y <- cbind(y1, y2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"wcrossprod(X)\\n\", Rd_tag = \"RCODE\"), structure(\"wcrossprod(X, w=wt)\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"wcrossprod(X, Y)\\n\", Rd_tag = \"RCODE\"), \n structure(\"wcrossprod(X, Y, w=wt)\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"wcrossprod(x1, y1)\\n\", Rd_tag = \"RCODE\"), \n structure(\"wcrossprod(x1, y1, w=wt)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/wcrossprod.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/wcrossprod.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n which.names (list) = structure(list(structure(list(structure(\"Position of Row Names\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"whichNames\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"which.names\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"whichNames\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"whichNames.data.frame\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -12601,10 +12601,10 @@\n structure(list(structure(\"names\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" in row names of the data frame or names of an object of another class. \\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\value\"), \n structure(list(structure(\"John Fox \", Rd_tag = \"TEXT\"), structure(list(\n structure(\"jfox@mcmaster.ca\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\email\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" Fox, J. and Weisberg, S. (2019) \\n\", Rd_tag = \"TEXT\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"An R Companion to Applied Regression\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", Third Edition, Sage.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n- structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"whichNames(c('minister', 'conductor'), Duncan)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/car-3.1-2/man/which.names.Rd\", class = \"Rd\", meta = list(\n+ structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"whichNames(c('minister', 'conductor'), Duncan)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/car-3.1-2/2nd/man/which.names.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n"}]}, {"source1": "./usr/lib/R/site-library/car/help/car.rdx", "source2": "./usr/lib/R/site-library/car/help/car.rdx", "unified_diff": null, "details": [{"source1": "car.rdx-content", "source2": "car.rdx-content", "unified_diff": null, "details": [{"source1": "Rscript --vanilla -e 'args <- commandArgs(TRUE); readRDS(args[1])' {}", "source2": "Rscript --vanilla -e 'args <- commandArgs(TRUE); readRDS(args[1])' {}", "unified_diff": "@@ -1,415 +1,415 @@\n $variables\n $variables$Anova\n-[1] 278 19774\n+[1] 282 19776\n \n $variables$Boot\n-[1] 20328 8154\n+[1] 20335 8156\n \n $variables$Boxplot\n-[1] 28761 4440\n+[1] 28772 4439\n \n $variables$Contrasts\n-[1] 33482 4983\n+[1] 33494 4985\n \n $variables$Ellipses\n-[1] 38746 11640\n+[1] 38763 11642\n \n $variables$Export\n-[1] 50664 2780\n+[1] 50687 2782\n \n $variables$Import\n-[1] 53722 3447\n+[1] 53751 3448\n \n $variables$Predict\n-[1] 57449 3641\n+[1] 57481 3641\n \n $variables$S\n-[1] 61363 12349\n+[1] 61397 12351\n \n $variables$ScatterplotSmoothers\n-[1] 73998 8082\n+[1] 74038 8084\n \n $variables$Tapply\n-[1] 82357 2981\n+[1] 82403 2983\n \n $variables$TransformationAxes\n-[1] 85625 7170\n+[1] 85676 7172\n \n $variables$avPlots\n-[1] 93075 9389\n+[1] 93130 9391\n \n $variables$bcPower\n-[1] 102745 5765\n+[1] 102805 5767\n \n $variables$boxCox\n-[1] 108788 7836\n+[1] 108854 7839\n \n $variables$boxCoxVariable\n-[1] 116909 2568\n+[1] 116981 2569\n \n $variables$boxTidwell\n-[1] 119760 3715\n+[1] 119836 3717\n \n $variables$brief\n-[1] 123753 6810\n+[1] 123834 6811\n \n $variables$`car-defunct`\n-[1] 130842 3868\n+[1] 130926 3871\n \n $variables$`car-deprecated`\n-[1] 134993 1297\n+[1] 135083 1300\n \n $variables$`car-internal`\n-[1] 136572 783\n+[1] 136667 784\n \n $variables$carHexsticker\n-[1] 137637 864\n+[1] 137735 866\n \n $variables$carPalette\n-[1] 138780 2428\n+[1] 138882 2430\n \n $variables$carWeb\n-[1] 141483 2495\n+[1] 141591 2496\n \n $variables$ceresPlots\n-[1] 144261 6221\n+[1] 144372 6223\n \n $variables$compareCoefs\n-[1] 150766 3230\n+[1] 150882 3231\n \n $variables$crPlots\n-[1] 154276 9705\n+[1] 154395 9709\n \n $variables$deltaMethod\n-[1] 164264 10778\n+[1] 164390 10780\n \n $variables$densityPlot\n-[1] 175325 8564\n+[1] 175454 8566\n \n $variables$dfbetaPlots\n-[1] 184172 4580\n+[1] 184305 4583\n \n $variables$durbinWatsonTest\n-[1] 189039 2908\n+[1] 189176 2910\n \n $variables$hccm\n-[1] 192223 4805\n+[1] 192364 4808\n \n $variables$hist.boot\n-[1] 197309 8567\n+[1] 197455 8569\n \n $variables$infIndexPlot\n-[1] 206159 4650\n+[1] 206309 4652\n \n $variables$`influence-mixed-models`\n-[1] 211096 5427\n+[1] 211250 5430\n \n $variables$influencePlot\n-[1] 216807 3986\n+[1] 216966 3988\n \n $variables$invResPlot\n-[1] 221076 4098\n+[1] 221240 4100\n \n $variables$invTranPlot\n-[1] 225453 5941\n+[1] 225622 5943\n \n $variables$leveneTest\n-[1] 231677 2876\n+[1] 231850 2878\n \n $variables$leveragePlots\n-[1] 234837 5058\n+[1] 235014 5061\n \n $variables$linearHypothesis\n-[1] 240181 18438\n+[1] 240363 18424\n \n $variables$logit\n-[1] 258893 2355\n+[1] 259064 2356\n \n $variables$marginalModelPlot\n-[1] 261532 9655\n+[1] 261706 9657\n \n $variables$mcPlots\n-[1] 271468 8613\n+[1] 271647 8615\n \n $variables$ncvTest\n-[1] 280361 2862\n+[1] 280544 2863\n \n $variables$outlierTest\n-[1] 283507 3688\n+[1] 283694 3690\n \n $variables$panel.car\n-[1] 287476 2141\n+[1] 287667 2144\n \n $variables$poTest\n-[1] 289895 1924\n+[1] 290093 1927\n \n $variables$pointLabel\n-[1] 292099 5165\n+[1] 292302 5167\n \n $variables$powerTransform\n-[1] 297548 10654\n+[1] 297754 10656\n \n $variables$qqPlot\n-[1] 308479 9082\n+[1] 308691 9084\n \n $variables$recode\n-[1] 317841 6888\n+[1] 318057 6890\n \n $variables$regLine\n-[1] 325009 2502\n+[1] 325229 2504\n \n $variables$residualPlots\n-[1] 327792 10758\n+[1] 328016 10761\n \n $variables$scatter3d\n-[1] 338830 14087\n+[1] 339060 14089\n \n $variables$scatterplot\n-[1] 353198 13789\n+[1] 353432 13792\n \n $variables$scatterplotMatrix\n-[1] 367273 12166\n+[1] 367512 12168\n \n $variables$showLabels\n-[1] 379722 5815\n+[1] 379965 5817\n \n $variables$sigmaHat\n-[1] 385816 1317\n+[1] 386064 1319\n \n $variables$some\n-[1] 387410 2086\n+[1] 387661 2088\n \n $variables$spreadLevelPlot\n-[1] 389781 7120\n+[1] 390036 7122\n \n $variables$strings2factors\n-[1] 397186 2666\n+[1] 397444 2668\n \n $variables$subsets\n-[1] 400132 4218\n+[1] 400394 4220\n \n $variables$symbox\n-[1] 404626 4002\n+[1] 404895 4005\n \n $variables$testTransform\n-[1] 408912 3344\n+[1] 409186 3346\n \n $variables$vif\n-[1] 412531 4851\n+[1] 412810 4853\n \n $variables$wcrossprod\n-[1] 417665 2234\n+[1] 417948 2237\n \n $variables$which.names\n-[1] 420182 1649\n+[1] 420470 1651\n \n \n $references\n $references$`env::1`\n-[1] 0 278\n+[1] 0 282\n \n $references$`env::10`\n-[1] 73712 286\n+[1] 73748 290\n \n $references$`env::11`\n-[1] 82080 277\n+[1] 82122 281\n \n $references$`env::12`\n-[1] 85338 287\n+[1] 85386 290\n \n $references$`env::13`\n-[1] 92795 280\n+[1] 92848 282\n \n $references$`env::14`\n-[1] 102464 281\n+[1] 102521 284\n \n $references$`env::15`\n-[1] 108510 278\n+[1] 108572 282\n \n $references$`env::16`\n-[1] 116624 285\n+[1] 116693 288\n \n $references$`env::17`\n-[1] 119477 283\n+[1] 119550 286\n \n $references$`env::18`\n-[1] 123475 278\n+[1] 123553 281\n \n $references$`env::19`\n-[1] 130563 279\n+[1] 130645 281\n \n $references$`env::2`\n-[1] 20052 276\n+[1] 20058 277\n \n $references$`env::20`\n-[1] 134710 283\n+[1] 134797 286\n \n $references$`env::21`\n-[1] 136290 282\n+[1] 136383 284\n \n $references$`env::22`\n-[1] 137355 282\n+[1] 137451 284\n \n $references$`env::23`\n-[1] 138501 279\n+[1] 138601 281\n \n $references$`env::24`\n-[1] 141208 275\n+[1] 141312 279\n \n $references$`env::25`\n-[1] 143978 283\n+[1] 144087 285\n \n $references$`env::26`\n-[1] 150482 284\n+[1] 150595 287\n \n $references$`env::27`\n-[1] 153996 280\n+[1] 154113 282\n \n $references$`env::28`\n-[1] 163981 283\n+[1] 164104 286\n \n $references$`env::29`\n-[1] 175042 283\n+[1] 175170 284\n \n $references$`env::3`\n-[1] 28482 279\n+[1] 28491 281\n \n $references$`env::30`\n-[1] 183889 283\n+[1] 184020 285\n \n $references$`env::31`\n-[1] 188752 287\n+[1] 188888 288\n \n $references$`env::32`\n-[1] 191947 276\n+[1] 192086 278\n \n $references$`env::33`\n-[1] 197028 281\n+[1] 197172 283\n \n $references$`env::34`\n-[1] 205876 283\n+[1] 206024 285\n \n $references$`env::35`\n-[1] 210809 287\n+[1] 210961 289\n \n $references$`env::36`\n-[1] 216523 284\n+[1] 216680 286\n \n $references$`env::37`\n-[1] 220793 283\n+[1] 220954 286\n \n $references$`env::38`\n-[1] 225174 279\n+[1] 225340 282\n \n $references$`env::39`\n-[1] 231394 283\n+[1] 231565 285\n \n $references$`env::4`\n-[1] 33201 281\n+[1] 33211 283\n \n $references$`env::40`\n-[1] 234553 284\n+[1] 234728 286\n \n $references$`env::41`\n-[1] 239895 286\n+[1] 240075 288\n \n $references$`env::42`\n-[1] 258619 274\n+[1] 258787 277\n \n $references$`env::43`\n-[1] 261248 284\n+[1] 261420 286\n \n $references$`env::44`\n-[1] 271187 281\n+[1] 271363 284\n \n $references$`env::45`\n-[1] 280081 280\n+[1] 280262 282\n \n $references$`env::46`\n-[1] 283223 284\n+[1] 283407 287\n \n $references$`env::47`\n-[1] 287195 281\n+[1] 287384 283\n \n $references$`env::48`\n-[1] 289617 278\n+[1] 289811 282\n \n $references$`env::49`\n-[1] 291819 280\n+[1] 292020 282\n \n $references$`env::5`\n-[1] 38465 281\n+[1] 38479 284\n \n $references$`env::50`\n-[1] 297264 284\n+[1] 297469 285\n \n $references$`env::51`\n-[1] 308202 277\n+[1] 308410 281\n \n $references$`env::52`\n-[1] 317561 280\n+[1] 317775 282\n \n $references$`env::53`\n-[1] 324729 280\n+[1] 324947 282\n \n $references$`env::54`\n-[1] 327511 281\n+[1] 327733 283\n \n $references$`env::55`\n-[1] 338550 280\n+[1] 338777 283\n \n $references$`env::56`\n-[1] 352917 281\n+[1] 353149 283\n \n $references$`env::57`\n-[1] 366987 286\n+[1] 367224 288\n \n $references$`env::58`\n-[1] 379439 283\n+[1] 379680 285\n \n $references$`env::59`\n-[1] 385537 279\n+[1] 385782 282\n \n $references$`env::6`\n-[1] 50386 278\n+[1] 50405 282\n \n $references$`env::60`\n-[1] 387133 277\n+[1] 387383 278\n \n $references$`env::61`\n-[1] 389496 285\n+[1] 389749 287\n \n $references$`env::62`\n-[1] 396901 285\n+[1] 397158 286\n \n $references$`env::63`\n-[1] 399852 280\n+[1] 400112 282\n \n $references$`env::64`\n-[1] 404350 276\n+[1] 404614 281\n \n $references$`env::65`\n-[1] 408628 284\n+[1] 408900 286\n \n $references$`env::66`\n-[1] 412256 275\n+[1] 412532 278\n \n $references$`env::67`\n-[1] 417382 283\n+[1] 417663 285\n \n $references$`env::68`\n-[1] 419899 283\n+[1] 420185 285\n \n $references$`env::7`\n-[1] 53444 278\n+[1] 53469 282\n \n $references$`env::8`\n-[1] 57169 280\n+[1] 57199 282\n \n $references$`env::9`\n-[1] 61090 273\n+[1] 61122 275\n \n \n $compressed\n [1] TRUE\n \n"}]}]}, {"source1": "./usr/lib/R/site-library/car/help/paths.rds", "source2": "./usr/lib/R/site-library/car/help/paths.rds", "unified_diff": null, "details": [{"source1": "paths.rds-content", "source2": "paths.rds-content", "unified_diff": null, "details": [{"source1": "Rscript --vanilla -e 'args <- commandArgs(TRUE); readRDS(args[1])' {}", "source2": "Rscript --vanilla -e 'args <- commandArgs(TRUE); readRDS(args[1])' {}", "unified_diff": "@@ -1,70 +1,70 @@\n- [1] \"/build/1st/car-3.1-2/man/Anova.Rd\" \n- [2] \"/build/1st/car-3.1-2/man/Boot.Rd\" \n- [3] \"/build/1st/car-3.1-2/man/Boxplot.Rd\" \n- [4] \"/build/1st/car-3.1-2/man/Contrasts.Rd\" \n- [5] \"/build/1st/car-3.1-2/man/Ellipses.Rd\" \n- [6] \"/build/1st/car-3.1-2/man/Export.Rd\" \n- [7] \"/build/1st/car-3.1-2/man/Import.Rd\" \n- [8] \"/build/1st/car-3.1-2/man/Predict.Rd\" \n- [9] \"/build/1st/car-3.1-2/man/S.Rd\" \n-[10] \"/build/1st/car-3.1-2/man/ScatterplotSmoothers.Rd\" \n-[11] \"/build/1st/car-3.1-2/man/Tapply.Rd\" \n-[12] \"/build/1st/car-3.1-2/man/TransformationAxes.Rd\" \n-[13] \"/build/1st/car-3.1-2/man/avPlots.Rd\" \n-[14] \"/build/1st/car-3.1-2/man/bcPower.Rd\" \n-[15] \"/build/1st/car-3.1-2/man/boxCox.Rd\" \n-[16] \"/build/1st/car-3.1-2/man/boxCoxVariable.Rd\" \n-[17] \"/build/1st/car-3.1-2/man/boxTidwell.Rd\" \n-[18] \"/build/1st/car-3.1-2/man/brief.Rd\" \n-[19] \"/build/1st/car-3.1-2/man/car-defunct.Rd\" \n-[20] \"/build/1st/car-3.1-2/man/car-deprecated.Rd\" \n-[21] \"/build/1st/car-3.1-2/man/car-internal.Rd\" \n-[22] \"/build/1st/car-3.1-2/man/carHexsticker.Rd\" \n-[23] \"/build/1st/car-3.1-2/man/carPalette.Rd\" \n-[24] \"/build/1st/car-3.1-2/man/carWeb.Rd\" \n-[25] \"/build/1st/car-3.1-2/man/ceresPlots.Rd\" \n-[26] \"/build/1st/car-3.1-2/man/compareCoefs.Rd\" \n-[27] \"/build/1st/car-3.1-2/man/crPlots.Rd\" \n-[28] \"/build/1st/car-3.1-2/man/deltaMethod.Rd\" \n-[29] \"/build/1st/car-3.1-2/man/densityPlot.Rd\" \n-[30] \"/build/1st/car-3.1-2/man/dfbetaPlots.Rd\" \n-[31] \"/build/1st/car-3.1-2/man/durbinWatsonTest.Rd\" \n-[32] \"/build/1st/car-3.1-2/man/hccm.Rd\" \n-[33] \"/build/1st/car-3.1-2/man/hist.boot.Rd\" \n-[34] \"/build/1st/car-3.1-2/man/infIndexPlot.Rd\" \n-[35] \"/build/1st/car-3.1-2/man/influence-mixed-models.Rd\"\n-[36] \"/build/1st/car-3.1-2/man/influencePlot.Rd\" \n-[37] \"/build/1st/car-3.1-2/man/invResPlot.Rd\" \n-[38] \"/build/1st/car-3.1-2/man/invTranPlot.Rd\" \n-[39] \"/build/1st/car-3.1-2/man/leveneTest.Rd\" \n-[40] \"/build/1st/car-3.1-2/man/leveragePlots.Rd\" \n-[41] \"/build/1st/car-3.1-2/man/linearHypothesis.Rd\" \n-[42] \"/build/1st/car-3.1-2/man/logit.Rd\" \n-[43] \"/build/1st/car-3.1-2/man/marginalModelPlot.Rd\" \n-[44] \"/build/1st/car-3.1-2/man/mcPlots.Rd\" \n-[45] \"/build/1st/car-3.1-2/man/ncvTest.Rd\" \n-[46] \"/build/1st/car-3.1-2/man/outlierTest.Rd\" \n-[47] \"/build/1st/car-3.1-2/man/panel.car.Rd\" \n-[48] \"/build/1st/car-3.1-2/man/poTest.Rd\" \n-[49] \"/build/1st/car-3.1-2/man/pointLabel.Rd\" \n-[50] \"/build/1st/car-3.1-2/man/powerTransform.Rd\" \n-[51] \"/build/1st/car-3.1-2/man/qqPlot.Rd\" \n-[52] \"/build/1st/car-3.1-2/man/recode.Rd\" \n-[53] \"/build/1st/car-3.1-2/man/regLine.Rd\" \n-[54] \"/build/1st/car-3.1-2/man/residualPlots.Rd\" \n-[55] \"/build/1st/car-3.1-2/man/scatter3d.Rd\" \n-[56] \"/build/1st/car-3.1-2/man/scatterplot.Rd\" \n-[57] \"/build/1st/car-3.1-2/man/scatterplotMatrix.Rd\" \n-[58] \"/build/1st/car-3.1-2/man/showLabels.Rd\" \n-[59] \"/build/1st/car-3.1-2/man/sigmaHat.Rd\" \n-[60] \"/build/1st/car-3.1-2/man/some.Rd\" \n-[61] \"/build/1st/car-3.1-2/man/spreadLevelPlot.Rd\" \n-[62] \"/build/1st/car-3.1-2/man/strings2factors.Rd\" \n-[63] \"/build/1st/car-3.1-2/man/subsets.Rd\" \n-[64] \"/build/1st/car-3.1-2/man/symbox.Rd\" \n-[65] \"/build/1st/car-3.1-2/man/testTransform.Rd\" \n-[66] \"/build/1st/car-3.1-2/man/vif.Rd\" \n-[67] \"/build/1st/car-3.1-2/man/wcrossprod.Rd\" \n-[68] \"/build/1st/car-3.1-2/man/which.names.Rd\" \n+ [1] \"/build/2/car-3.1-2/2nd/man/Anova.Rd\" \n+ [2] \"/build/2/car-3.1-2/2nd/man/Boot.Rd\" \n+ [3] \"/build/2/car-3.1-2/2nd/man/Boxplot.Rd\" \n+ [4] \"/build/2/car-3.1-2/2nd/man/Contrasts.Rd\" \n+ [5] \"/build/2/car-3.1-2/2nd/man/Ellipses.Rd\" \n+ [6] \"/build/2/car-3.1-2/2nd/man/Export.Rd\" \n+ [7] \"/build/2/car-3.1-2/2nd/man/Import.Rd\" \n+ [8] \"/build/2/car-3.1-2/2nd/man/Predict.Rd\" \n+ [9] \"/build/2/car-3.1-2/2nd/man/S.Rd\" \n+[10] \"/build/2/car-3.1-2/2nd/man/ScatterplotSmoothers.Rd\" \n+[11] \"/build/2/car-3.1-2/2nd/man/Tapply.Rd\" \n+[12] \"/build/2/car-3.1-2/2nd/man/TransformationAxes.Rd\" \n+[13] \"/build/2/car-3.1-2/2nd/man/avPlots.Rd\" \n+[14] \"/build/2/car-3.1-2/2nd/man/bcPower.Rd\" \n+[15] \"/build/2/car-3.1-2/2nd/man/boxCox.Rd\" \n+[16] \"/build/2/car-3.1-2/2nd/man/boxCoxVariable.Rd\" \n+[17] \"/build/2/car-3.1-2/2nd/man/boxTidwell.Rd\" \n+[18] \"/build/2/car-3.1-2/2nd/man/brief.Rd\" \n+[19] \"/build/2/car-3.1-2/2nd/man/car-defunct.Rd\" \n+[20] \"/build/2/car-3.1-2/2nd/man/car-deprecated.Rd\" \n+[21] \"/build/2/car-3.1-2/2nd/man/car-internal.Rd\" \n+[22] \"/build/2/car-3.1-2/2nd/man/carHexsticker.Rd\" \n+[23] \"/build/2/car-3.1-2/2nd/man/carPalette.Rd\" \n+[24] \"/build/2/car-3.1-2/2nd/man/carWeb.Rd\" \n+[25] \"/build/2/car-3.1-2/2nd/man/ceresPlots.Rd\" \n+[26] \"/build/2/car-3.1-2/2nd/man/compareCoefs.Rd\" \n+[27] \"/build/2/car-3.1-2/2nd/man/crPlots.Rd\" \n+[28] \"/build/2/car-3.1-2/2nd/man/deltaMethod.Rd\" \n+[29] \"/build/2/car-3.1-2/2nd/man/densityPlot.Rd\" \n+[30] \"/build/2/car-3.1-2/2nd/man/dfbetaPlots.Rd\" \n+[31] \"/build/2/car-3.1-2/2nd/man/durbinWatsonTest.Rd\" \n+[32] \"/build/2/car-3.1-2/2nd/man/hccm.Rd\" \n+[33] \"/build/2/car-3.1-2/2nd/man/hist.boot.Rd\" \n+[34] \"/build/2/car-3.1-2/2nd/man/infIndexPlot.Rd\" \n+[35] \"/build/2/car-3.1-2/2nd/man/influence-mixed-models.Rd\"\n+[36] \"/build/2/car-3.1-2/2nd/man/influencePlot.Rd\" \n+[37] \"/build/2/car-3.1-2/2nd/man/invResPlot.Rd\" \n+[38] \"/build/2/car-3.1-2/2nd/man/invTranPlot.Rd\" \n+[39] \"/build/2/car-3.1-2/2nd/man/leveneTest.Rd\" \n+[40] \"/build/2/car-3.1-2/2nd/man/leveragePlots.Rd\" \n+[41] \"/build/2/car-3.1-2/2nd/man/linearHypothesis.Rd\" \n+[42] \"/build/2/car-3.1-2/2nd/man/logit.Rd\" \n+[43] \"/build/2/car-3.1-2/2nd/man/marginalModelPlot.Rd\" \n+[44] \"/build/2/car-3.1-2/2nd/man/mcPlots.Rd\" \n+[45] \"/build/2/car-3.1-2/2nd/man/ncvTest.Rd\" \n+[46] \"/build/2/car-3.1-2/2nd/man/outlierTest.Rd\" \n+[47] \"/build/2/car-3.1-2/2nd/man/panel.car.Rd\" \n+[48] \"/build/2/car-3.1-2/2nd/man/poTest.Rd\" \n+[49] \"/build/2/car-3.1-2/2nd/man/pointLabel.Rd\" \n+[50] \"/build/2/car-3.1-2/2nd/man/powerTransform.Rd\" \n+[51] \"/build/2/car-3.1-2/2nd/man/qqPlot.Rd\" \n+[52] \"/build/2/car-3.1-2/2nd/man/recode.Rd\" \n+[53] \"/build/2/car-3.1-2/2nd/man/regLine.Rd\" \n+[54] \"/build/2/car-3.1-2/2nd/man/residualPlots.Rd\" \n+[55] \"/build/2/car-3.1-2/2nd/man/scatter3d.Rd\" \n+[56] \"/build/2/car-3.1-2/2nd/man/scatterplot.Rd\" \n+[57] \"/build/2/car-3.1-2/2nd/man/scatterplotMatrix.Rd\" \n+[58] \"/build/2/car-3.1-2/2nd/man/showLabels.Rd\" \n+[59] \"/build/2/car-3.1-2/2nd/man/sigmaHat.Rd\" \n+[60] \"/build/2/car-3.1-2/2nd/man/some.Rd\" \n+[61] \"/build/2/car-3.1-2/2nd/man/spreadLevelPlot.Rd\" \n+[62] \"/build/2/car-3.1-2/2nd/man/strings2factors.Rd\" \n+[63] \"/build/2/car-3.1-2/2nd/man/subsets.Rd\" \n+[64] \"/build/2/car-3.1-2/2nd/man/symbox.Rd\" \n+[65] \"/build/2/car-3.1-2/2nd/man/testTransform.Rd\" \n+[66] \"/build/2/car-3.1-2/2nd/man/vif.Rd\" \n+[67] \"/build/2/car-3.1-2/2nd/man/wcrossprod.Rd\" \n+[68] \"/build/2/car-3.1-2/2nd/man/which.names.Rd\" \n attr(,\"first\")\n-[1] 26\n+[1] 28\n"}]}]}]}]}]}]}