{"diffoscope-json-version": 1, "source1": "/srv/reproducible-results/rbuild-debian/r-b-build.v7s722EN/b1/car_3.1-2-1_armhf.changes", "source2": "/srv/reproducible-results/rbuild-debian/r-b-build.v7s722EN/b2/car_3.1-2-1_armhf.changes", "unified_diff": null, "details": [{"source1": "Files", "source2": "Files", "unified_diff": "@@ -1,2 +1,2 @@\n \n- 67c6cd4f67b98adc4c9e43e4cff36c88 1699736 gnu-r optional r-cran-car_3.1-2-1_all.deb\n+ e0e04ae8a9da24c6f5427a06a54a1184 1699540 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 1588 2023-04-06 03:31:16.000000 control.tar.xz\n--rw-r--r-- 0 0 0 1697956 2023-04-06 03:31:16.000000 data.tar.xz\n+-rw-r--r-- 0 0 0 1697760 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": "./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) 2792 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) 1975 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) 938456 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) 6322 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) 938458 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) 6323 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) 421075 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) 1711 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) 724 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) 421368 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) 1722 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) 726 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) 1844 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] 1570 60\n+[1] 1572 60\n \n $variables$.__S3MethodsTable__.\n-[1] 1769 60\n+[1] 1771 60\n \n $variables$.__global__\n-[1] 1829 68\n+[1] 1831 68\n \n $variables$.carEnv\n-[1] 2036 60\n+[1] 2038 60\n \n $variables$.packageName\n-[1] 2096 55\n+[1] 2098 55\n \n $variables$Anova\n-[1] 2151 201\n+[1] 2153 201\n \n $variables$Anova.II.F.glm\n-[1] 2352 5467\n+[1] 2354 5467\n \n $variables$Anova.II.LR.coxme\n-[1] 7819 3278\n+[1] 7821 3278\n \n $variables$Anova.II.LR.coxph\n-[1] 11097 3399\n+[1] 11099 3399\n \n $variables$Anova.II.LR.glm\n-[1] 14496 3954\n+[1] 14498 3954\n \n $variables$Anova.II.LR.survreg\n-[1] 18450 4083\n+[1] 18452 4083\n \n $variables$Anova.II.default\n-[1] 22533 7039\n+[1] 22535 7039\n \n $variables$Anova.II.lm\n-[1] 29572 5409\n+[1] 29574 5409\n \n $variables$Anova.II.lme\n-[1] 34981 4881\n+[1] 34983 4881\n \n $variables$Anova.II.mer\n-[1] 39862 5407\n+[1] 39864 5407\n \n $variables$Anova.II.mlm\n-[1] 45269 8382\n+[1] 45271 8382\n \n $variables$Anova.II.multinom\n-[1] 53651 3143\n+[1] 53653 3143\n \n $variables$Anova.II.polr\n-[1] 56794 3060\n+[1] 56796 3060\n \n $variables$Anova.III.F.glm\n-[1] 59854 3877\n+[1] 59856 3877\n \n $variables$Anova.III.LR.coxph\n-[1] 63731 2772\n+[1] 63733 2772\n \n $variables$Anova.III.LR.glm\n-[1] 66503 2407\n+[1] 66505 2407\n \n $variables$Anova.III.LR.survreg\n-[1] 68910 3453\n+[1] 68912 3453\n \n $variables$Anova.III.default\n-[1] 72363 5530\n+[1] 72365 5530\n \n $variables$Anova.III.lm\n-[1] 77893 3807\n+[1] 77895 3807\n \n $variables$Anova.III.lme\n-[1] 81700 3770\n+[1] 81702 3770\n \n $variables$Anova.III.mer\n-[1] 85470 4095\n+[1] 85472 4095\n \n $variables$Anova.III.mlm\n-[1] 89565 5667\n+[1] 89567 5667\n \n $variables$Anova.III.multinom\n-[1] 95232 2222\n+[1] 95234 2222\n \n $variables$Anova.III.polr\n-[1] 97454 2138\n+[1] 97456 2138\n \n $variables$Anova.Wald.survreg\n-[1] 99592 860\n+[1] 99594 860\n \n $variables$Anova.aov\n-[1] 100452 344\n+[1] 100454 344\n \n $variables$Anova.coxme\n-[1] 100796 936\n+[1] 100798 936\n \n $variables$Anova.coxph\n-[1] 101732 1680\n+[1] 101734 1680\n \n $variables$Anova.default\n-[1] 103412 1312\n+[1] 103414 1312\n \n $variables$Anova.glm\n-[1] 104724 2104\n+[1] 104726 2104\n \n $variables$Anova.lm\n-[1] 106828 3219\n+[1] 106830 3219\n \n $variables$Anova.lme\n-[1] 110047 1013\n+[1] 110049 1013\n \n $variables$Anova.manova\n-[1] 111060 364\n+[1] 111062 364\n \n $variables$Anova.mer\n-[1] 111424 929\n+[1] 111426 929\n \n $variables$Anova.merMod\n-[1] 112353 1127\n+[1] 112355 1127\n \n $variables$Anova.mlm\n-[1] 113480 1647\n+[1] 113482 1647\n \n $variables$Anova.multinom\n-[1] 115127 936\n+[1] 115129 936\n \n $variables$Anova.polr\n-[1] 116063 931\n+[1] 116065 931\n \n $variables$Anova.rlm\n-[1] 116994 273\n+[1] 116996 273\n \n $variables$Anova.survreg\n-[1] 117267 1553\n+[1] 117269 1553\n \n $variables$Anova.svycoxph\n-[1] 118820 476\n+[1] 118822 476\n \n $variables$Anova.svyglm\n-[1] 119296 233\n+[1] 119298 233\n \n $variables$Boot\n-[1] 119529 292\n+[1] 119531 292\n \n $variables$Boot.default\n-[1] 119821 5727\n+[1] 119823 5727\n \n $variables$Boot.glm\n-[1] 125548 962\n+[1] 125550 962\n \n $variables$Boot.lm\n-[1] 126510 691\n+[1] 126512 691\n \n $variables$Boot.nls\n-[1] 127201 5935\n+[1] 127203 5935\n \n $variables$Boxplot\n-[1] 133136 531\n+[1] 133138 531\n \n $variables$Boxplot.data.frame\n-[1] 133667 1394\n+[1] 133669 1394\n \n $variables$Boxplot.default\n-[1] 135061 6555\n+[1] 135063 6555\n \n $variables$Boxplot.formula\n-[1] 141616 3587\n+[1] 141618 3587\n \n $variables$Boxplot.list\n-[1] 145203 731\n+[1] 145205 731\n \n $variables$Boxplot.matrix\n-[1] 145934 283\n+[1] 145936 283\n \n $variables$Confint\n-[1] 146217 204\n+[1] 146219 204\n \n $variables$Confint.boot\n-[1] 146421 921\n+[1] 146423 921\n \n $variables$Confint.default\n-[1] 147342 1398\n+[1] 147344 1398\n \n $variables$Confint.glm\n-[1] 148740 2166\n+[1] 148742 2166\n \n $variables$Confint.glmerMod\n-[1] 150906 2073\n+[1] 150908 2073\n \n $variables$Confint.lm\n-[1] 152979 1977\n+[1] 152981 1977\n \n $variables$Confint.lme\n-[1] 154956 1438\n+[1] 154958 1438\n \n $variables$Confint.lmerMod\n-[1] 156394 1470\n+[1] 156396 1470\n \n $variables$Confint.multinom\n-[1] 157864 1613\n+[1] 157866 1613\n \n $variables$Confint.polr\n-[1] 159477 2140\n+[1] 159479 2140\n \n $variables$ConjComp\n-[1] 161617 688\n+[1] 161619 688\n \n $variables$Export\n-[1] 162305 1453\n+[1] 162307 1453\n \n $variables$HL\n-[1] 163758 876\n+[1] 163760 876\n \n $variables$Identify3d\n-[1] 164634 3754\n+[1] 164636 3754\n \n $variables$Import\n-[1] 168388 2763\n+[1] 168390 2763\n \n $variables$Manova\n-[1] 171151 198\n+[1] 171153 198\n \n $variables$Manova.mlm\n-[1] 171349 240\n+[1] 171351 240\n \n $variables$Pillai\n-[1] 171589 941\n+[1] 171591 941\n \n $variables$Predict\n-[1] 172530 470\n+[1] 172532 470\n \n $variables$Predict.lm\n-[1] 173000 11295\n+[1] 173002 11295\n \n $variables$Recode\n-[1] 184295 219\n+[1] 184297 219\n \n $variables$Roy\n-[1] 184514 503\n+[1] 184516 503\n \n $variables$S\n-[1] 185017 205\n+[1] 185019 205\n \n $variables$S.data.frame\n-[1] 185222 422\n+[1] 185224 422\n \n $variables$S.default\n-[1] 185644 240\n+[1] 185646 240\n \n $variables$S.glm\n-[1] 185884 5331\n+[1] 185886 5331\n \n $variables$S.glmerMod\n-[1] 191215 1438\n+[1] 191217 1438\n \n $variables$S.lm\n-[1] 192653 7080\n+[1] 192655 7080\n \n $variables$S.lme\n-[1] 199733 1099\n+[1] 199735 1099\n \n $variables$S.lmerMod\n-[1] 200832 3139\n+[1] 200834 3139\n \n $variables$S.multinom\n-[1] 203971 694\n+[1] 203973 694\n \n $variables$S.polr\n-[1] 204665 739\n+[1] 204667 739\n \n $variables$Tapply\n-[1] 205404 957\n+[1] 205406 957\n \n $variables$Wilks\n-[1] 206361 1106\n+[1] 206363 1106\n \n $variables$adaptiveKernel\n-[1] 207467 2747\n+[1] 207469 2747\n \n $variables$alias.coxme\n-[1] 210214 407\n+[1] 210216 407\n \n $variables$alias.coxph\n-[1] 210621 407\n+[1] 210623 407\n \n $variables$alias.survreg\n-[1] 211028 489\n+[1] 211030 489\n \n $variables$applyDefaults\n-[1] 211517 992\n+[1] 211519 992\n \n $variables$as.data.frame.univaov\n-[1] 212509 2846\n+[1] 212511 2846\n \n $variables$assignVector\n-[1] 215355 189\n+[1] 215357 189\n \n $variables$assignVector.default\n-[1] 215544 728\n+[1] 215546 728\n \n $variables$assignVector.svyolr\n-[1] 216272 404\n+[1] 216274 404\n \n $variables$av.plot\n-[1] 216676 239\n+[1] 216678 239\n \n $variables$av.plots\n-[1] 216915 241\n+[1] 216917 241\n \n $variables$avPlot\n-[1] 217156 185\n+[1] 217158 185\n \n $variables$avPlot.glm\n-[1] 217341 4820\n+[1] 217343 4820\n \n $variables$avPlot.lm\n-[1] 222161 5289\n+[1] 222163 5289\n \n $variables$avPlot3d\n-[1] 227450 223\n+[1] 227452 223\n \n $variables$avPlot3d.glm\n-[1] 227673 1956\n+[1] 227675 1956\n \n $variables$avPlot3d.lm\n-[1] 229629 1518\n+[1] 229631 1518\n \n $variables$avPlots\n-[1] 231147 201\n+[1] 231149 201\n \n $variables$avPlots.default\n-[1] 231348 3144\n+[1] 231350 3144\n \n $variables$avp\n-[1] 234492 178\n+[1] 234494 178\n \n $variables$basicPower\n-[1] 234670 2160\n+[1] 234672 2160\n \n $variables$basicPowerAxis\n-[1] 236830 2239\n+[1] 236832 2239\n \n $variables$bc\n-[1] 239069 241\n+[1] 239071 241\n \n $variables$bcPower\n-[1] 239310 2279\n+[1] 239312 2279\n \n $variables$bcPowerAxis\n-[1] 241589 2442\n+[1] 241591 2442\n \n $variables$bcn.sv\n-[1] 244031 6401\n+[1] 244033 6401\n \n $variables$bcnPower\n-[1] 250432 3185\n+[1] 250434 3185\n \n $variables$bcnPowerAxis\n-[1] 253617 2215\n+[1] 253619 2215\n \n $variables$bcnPowerInverse\n-[1] 255832 603\n+[1] 255834 603\n \n $variables$bcnPowerllik\n-[1] 256435 1111\n+[1] 256437 1111\n \n $variables$bootCase\n-[1] 257546 280\n+[1] 257548 280\n \n $variables$bootCase.default\n-[1] 257826 2030\n+[1] 257828 2030\n \n $variables$bootCase.glm\n-[1] 259856 291\n+[1] 259858 291\n \n $variables$bootCase.lm\n-[1] 260147 372\n+[1] 260149 372\n \n $variables$bootCase.nls\n-[1] 260519 408\n+[1] 260521 408\n \n $variables$box.cox\n-[1] 260927 241\n+[1] 260929 241\n \n $variables$box.cox.powers\n-[1] 261168 249\n+[1] 261170 249\n \n $variables$box.cox.var\n-[1] 261417 249\n+[1] 261419 249\n \n $variables$box.tidwell\n-[1] 261666 245\n+[1] 261668 245\n \n $variables$boxCox\n-[1] 261911 186\n+[1] 261913 186\n \n $variables$boxCox.default\n-[1] 262097 6381\n+[1] 262099 6381\n \n $variables$boxCox.formula\n-[1] 268478 580\n+[1] 268480 580\n \n $variables$boxCox.lm\n-[1] 269058 648\n+[1] 269060 648\n \n $variables$boxCox2d\n-[1] 269706 2729\n+[1] 269708 2729\n \n $variables$boxCoxVariable\n-[1] 272435 419\n+[1] 272437 419\n \n $variables$boxTidwell\n-[1] 272854 201\n+[1] 272856 201\n \n $variables$boxTidwell.default\n-[1] 273055 3693\n+[1] 273057 3693\n \n $variables$boxTidwell.formula\n-[1] 276748 2045\n+[1] 276750 2045\n \n $variables$brief\n-[1] 278793 377\n+[1] 278795 377\n \n $variables$brief.character\n-[1] 279170 1328\n+[1] 279172 1328\n \n $variables$brief.data.frame\n-[1] 280498 9009\n+[1] 280500 9009\n \n $variables$brief.default\n-[1] 289507 1643\n+[1] 289509 1643\n \n $variables$brief.factor\n-[1] 291150 1404\n+[1] 291152 1404\n \n $variables$brief.function\n-[1] 292554 1291\n+[1] 292556 1291\n \n $variables$brief.glm\n-[1] 293845 3369\n+[1] 293847 3369\n \n $variables$brief.integer\n-[1] 297214 1328\n+[1] 297216 1328\n \n $variables$brief.list\n-[1] 298542 1520\n+[1] 298544 1520\n \n $variables$brief.lm\n-[1] 300062 2242\n+[1] 300064 2242\n \n $variables$brief.matrix\n-[1] 302304 379\n+[1] 302306 379\n \n $variables$brief.multinom\n-[1] 302683 3436\n+[1] 302685 3436\n \n $variables$brief.numeric\n-[1] 306119 1328\n+[1] 306121 1328\n \n $variables$brief.polr\n-[1] 307447 2372\n+[1] 307449 2372\n \n $variables$brief.tbl\n-[1] 309819 246\n+[1] 309821 246\n \n $variables$brief.vector\n-[1] 310065 1328\n+[1] 310067 1328\n \n $variables$car.select3d\n-[1] 311393 1791\n+[1] 311395 1791\n \n $variables$carHexsticker\n-[1] 313184 345\n+[1] 313186 345\n \n $variables$carPal\n-[1] 313529 1383\n+[1] 313531 1383\n \n $variables$carPalette\n-[1] 315255 732\n+[1] 315257 732\n \n $variables$carWeb\n-[1] 315987 3431\n+[1] 315989 3431\n \n $variables$ceres.plot\n-[1] 319418 242\n+[1] 319420 242\n \n $variables$ceres.plots\n-[1] 319660 244\n+[1] 319662 244\n \n $variables$ceresPlot\n-[1] 319904 201\n+[1] 319906 201\n \n $variables$ceresPlot.glm\n-[1] 320105 250\n+[1] 320107 250\n \n $variables$ceresPlot.lm\n-[1] 320355 8559\n+[1] 320357 8559\n \n $variables$ceresPlots\n-[1] 328914 203\n+[1] 328916 203\n \n $variables$ceresPlots.default\n-[1] 329117 3464\n+[1] 329119 3464\n \n $variables$check.imatrix\n-[1] 332581 865\n+[1] 332583 865\n \n $variables$coef.bcnPowerTransform\n-[1] 333446 872\n+[1] 333448 872\n \n $variables$coef.multinom\n-[1] 334318 1980\n+[1] 334320 1980\n \n $variables$coef.powerTransform\n-[1] 336298 306\n+[1] 336300 306\n \n $variables$coef.svyolr\n-[1] 336604 183\n+[1] 336606 183\n \n $variables$coefnames2bs\n-[1] 336787 1558\n+[1] 336789 1558\n \n $variables$coefs2use\n-[1] 338345 1377\n+[1] 338347 1377\n \n $variables$colscale\n-[1] 339722 1350\n+[1] 339724 1350\n \n $variables$combineLists\n-[1] 341072 2933\n+[1] 341074 2933\n \n $variables$compareCoefs\n-[1] 344005 13988\n+[1] 344007 13988\n \n $variables$confidence.ellipse\n-[1] 357993 250\n+[1] 357995 250\n \n $variables$confidenceEllipse\n-[1] 358243 211\n+[1] 358245 211\n \n $variables$confidenceEllipse.default\n-[1] 358454 2781\n+[1] 358456 2781\n \n $variables$confidenceEllipse.glm\n-[1] 361235 523\n+[1] 361237 523\n \n $variables$confidenceEllipse.lm\n-[1] 361758 2851\n+[1] 361760 2851\n \n $variables$confidenceEllipse.mlm\n-[1] 364609 743\n+[1] 364611 743\n \n $variables$confidenceEllipses\n-[1] 365352 212\n+[1] 365354 212\n \n $variables$confidenceEllipses.default\n-[1] 365564 2423\n+[1] 365566 2423\n \n $variables$confidenceEllipses.mlm\n-[1] 367987 692\n+[1] 367989 692\n \n $variables$confint.boot\n-[1] 368679 3465\n+[1] 368681 3465\n \n $variables$contr.Helmert\n-[1] 372144 2091\n+[1] 372146 2091\n \n $variables$contr.Sum\n-[1] 374235 1989\n+[1] 374237 1989\n \n $variables$contr.Treatment\n-[1] 376224 1771\n+[1] 376226 1771\n \n $variables$cookd\n-[1] 377995 250\n+[1] 377997 250\n \n $variables$cooks.distance.influence.lme\n-[1] 378245 886\n+[1] 378247 886\n \n $variables$cr.plot\n-[1] 379131 239\n+[1] 379133 239\n \n $variables$cr.plots\n-[1] 379370 241\n+[1] 379372 241\n \n $variables$crPlot\n-[1] 379611 200\n+[1] 379613 200\n \n $variables$crPlot.lm\n-[1] 379811 5869\n+[1] 379813 5869\n \n $variables$crPlot3d\n-[1] 385680 212\n+[1] 385682 212\n \n $variables$crPlot3d.lm\n-[1] 385892 12004\n+[1] 385894 12004\n \n $variables$crPlots\n-[1] 397896 201\n+[1] 397898 201\n \n $variables$crPlots.default\n-[1] 398097 2987\n+[1] 398099 2987\n \n $variables$crp\n-[1] 401084 178\n+[1] 401086 178\n \n $variables$data.ellipse\n-[1] 401262 246\n+[1] 401264 246\n \n $variables$dataEllipse\n-[1] 401508 8357\n+[1] 401510 8357\n \n $variables$dbiwt\n-[1] 409865 475\n+[1] 409867 475\n \n $variables$default.arg\n-[1] 410340 300\n+[1] 410342 300\n \n $variables$deltaMethod\n-[1] 410640 204\n+[1] 410642 204\n \n $variables$deltaMethod.coxph\n-[1] 410844 380\n+[1] 410846 380\n \n $variables$deltaMethod.default\n-[1] 411224 3899\n+[1] 411226 3899\n \n $variables$deltaMethod.lm\n-[1] 415123 621\n+[1] 415125 621\n \n $variables$deltaMethod.lmList\n-[1] 415744 654\n+[1] 415746 654\n \n $variables$deltaMethod.lme\n-[1] 416398 588\n+[1] 416400 588\n \n $variables$deltaMethod.mer\n-[1] 416986 588\n+[1] 416988 588\n \n $variables$deltaMethod.merMod\n-[1] 417574 405\n+[1] 417576 405\n \n $variables$deltaMethod.multinom\n-[1] 417979 1562\n+[1] 417981 1562\n \n $variables$deltaMethod.nls\n-[1] 419541 463\n+[1] 419543 463\n \n $variables$deltaMethod.polr\n-[1] 420004 581\n+[1] 420006 581\n \n $variables$deltaMethod.survreg\n-[1] 420585 795\n+[1] 420587 795\n \n $variables$densityPlot\n-[1] 421380 202\n+[1] 421382 202\n \n $variables$densityPlot.default\n-[1] 421582 7469\n+[1] 421584 7469\n \n $variables$densityPlot.formula\n-[1] 429051 2499\n+[1] 429053 2499\n \n $variables$depan\n-[1] 431550 432\n+[1] 431552 432\n \n $variables$df.residual.coxph\n-[1] 431982 351\n+[1] 431984 351\n \n $variables$df.residual.lme\n-[1] 432333 163\n+[1] 432335 163\n \n $variables$df.residual.mer\n-[1] 432496 156\n+[1] 432498 156\n \n $variables$df.residual.rlm\n-[1] 432652 633\n+[1] 432654 633\n \n $variables$df.terms\n-[1] 433285 207\n+[1] 433287 207\n \n $variables$df.terms.default\n-[1] 433492 1354\n+[1] 433494 1354\n \n $variables$df.terms.multinom\n-[1] 434846 1505\n+[1] 434848 1505\n \n $variables$df.terms.polr\n-[1] 436351 1237\n+[1] 436353 1237\n \n $variables$df.terms.survreg\n-[1] 437588 1406\n+[1] 437590 1406\n \n $variables$dfbeta.influence.lme\n-[1] 438994 757\n+[1] 438996 757\n \n $variables$dfbetaPlots\n-[1] 439751 205\n+[1] 439753 205\n \n $variables$dfbetaPlots.lm\n-[1] 439956 4063\n+[1] 439958 4063\n \n $variables$dfbetas.influence.lme\n-[1] 444019 525\n+[1] 444021 525\n \n $variables$dfbetasPlots\n-[1] 444544 206\n+[1] 444546 206\n \n $variables$dfbetasPlots.lm\n-[1] 444750 3888\n+[1] 444752 3888\n \n $variables$durbin.watson\n-[1] 448638 248\n+[1] 448640 248\n \n $variables$durbinWatsonTest\n-[1] 448886 209\n+[1] 448888 209\n \n $variables$durbinWatsonTest.default\n-[1] 449095 1128\n+[1] 449097 1128\n \n $variables$durbinWatsonTest.lm\n-[1] 450223 3360\n+[1] 450225 3360\n \n $variables$dwt\n-[1] 453583 187\n+[1] 453585 187\n \n $variables$ellipse\n-[1] 453770 4062\n+[1] 453772 4062\n \n $variables$ellipsoid\n-[1] 457832 2101\n+[1] 457834 2101\n \n $variables$envelope\n-[1] 459933 935\n+[1] 459935 935\n \n $variables$estimateTransform\n-[1] 460868 500\n+[1] 460870 500\n \n $variables$estimateTransform.bcnPower\n-[1] 461368 7100\n+[1] 461370 7100\n \n $variables$estimateTransform.bcnPowerlmer\n-[1] 468468 5326\n+[1] 468470 5326\n \n $variables$estimateTransform.default\n-[1] 473794 4008\n+[1] 473796 4008\n \n $variables$estimateTransform.lmerMod\n-[1] 477802 2820\n+[1] 477804 2820\n \n $variables$exists.method\n-[1] 480622 693\n+[1] 480624 693\n \n $variables$find.legend.columns\n-[1] 481315 460\n+[1] 481317 460\n \n $variables$fitstats\n-[1] 481775 598\n+[1] 481777 598\n \n $variables$fixef\n-[1] 482373 511\n+[1] 482375 511\n \n $variables$format.perc\n-[1] 482884 398\n+[1] 482886 398\n \n $variables$formatCall\n-[1] 483282 1260\n+[1] 483284 1260\n \n $variables$formatCompareCoefs\n-[1] 484542 2178\n+[1] 484544 2178\n \n $variables$gamLine\n-[1] 486720 6757\n+[1] 486722 6757\n \n $variables$getModelData\n-[1] 493477 1382\n+[1] 493479 1382\n \n $variables$getVcov\n-[1] 494859 786\n+[1] 494861 786\n \n $variables$has.intercept\n-[1] 495645 207\n+[1] 495647 207\n \n $variables$has.intercept.default\n-[1] 495852 328\n+[1] 495854 328\n \n $variables$has.intercept.lme\n-[1] 496180 334\n+[1] 496182 334\n \n $variables$has.intercept.matrix\n-[1] 496514 298\n+[1] 496516 298\n \n $variables$has.intercept.mer\n-[1] 496812 328\n+[1] 496814 328\n \n $variables$has.intercept.merMod\n-[1] 497140 328\n+[1] 497142 328\n \n $variables$has.intercept.mlm\n-[1] 497468 343\n+[1] 497470 343\n \n $variables$has.intercept.multinom\n-[1] 497811 380\n+[1] 497813 380\n \n $variables$has.intercept.vlm\n-[1] 498191 328\n+[1] 498193 328\n \n $variables$hccm\n-[1] 498519 198\n+[1] 498521 198\n \n $variables$hccm.default\n-[1] 498717 230\n+[1] 498719 230\n \n $variables$hccm.lm\n-[1] 498947 3639\n+[1] 498949 3639\n \n $variables$hist.boot\n-[1] 502586 6597\n+[1] 502588 6597\n \n $variables$infIndexPlot\n-[1] 509183 203\n+[1] 509185 203\n \n $variables$infIndexPlot.influence.lme\n-[1] 509386 510\n+[1] 509388 510\n \n $variables$infIndexPlot.influence.merMod\n-[1] 509896 4655\n+[1] 509898 4655\n \n $variables$infIndexPlot.lm\n-[1] 514551 4534\n+[1] 514553 4534\n \n $variables$infIndexPlot.lmerMod\n-[1] 519085 251\n+[1] 519087 251\n \n $variables$influence.lme\n-[1] 519336 4680\n+[1] 519338 4680\n \n $variables$influenceIndexPlot\n-[1] 524016 203\n+[1] 524018 203\n \n $variables$influencePlot\n-[1] 524219 207\n+[1] 524221 207\n \n $variables$influencePlot.lm\n-[1] 524426 4859\n+[1] 524428 4859\n \n $variables$influencePlot.lmerMod\n-[1] 529285 253\n+[1] 529287 253\n \n $variables$inv\n-[1] 529538 213\n+[1] 529540 213\n \n $variables$invResPlot\n-[1] 529751 195\n+[1] 529753 195\n \n $variables$invTranEstimate\n-[1] 529946 2417\n+[1] 529948 2417\n \n $variables$invTranPlot\n-[1] 532363 188\n+[1] 532365 188\n \n $variables$invTranPlot.default\n-[1] 532551 4448\n+[1] 532553 4448\n \n $variables$invTranPlot.formula\n-[1] 536999 2996\n+[1] 537001 2996\n \n $variables$inverseResponsePlot\n-[1] 539995 248\n+[1] 539997 248\n \n $variables$inverseResponsePlot.lm\n-[1] 540243 2464\n+[1] 540245 2464\n \n $variables$is.aliased\n-[1] 542707 300\n+[1] 542709 300\n \n $variables$isFALSE\n-[1] 543007 380\n+[1] 543009 380\n \n $variables$levene.test\n-[1] 543387 243\n+[1] 543389 243\n \n $variables$leveneTest\n-[1] 543630 201\n+[1] 543632 201\n \n $variables$leveneTest.default\n-[1] 543831 1771\n+[1] 543833 1771\n \n $variables$leveneTest.formula\n-[1] 545602 1462\n+[1] 545604 1462\n \n $variables$leveneTest.lm\n-[1] 547064 622\n+[1] 547066 622\n \n $variables$leverage.plot\n-[1] 547686 244\n+[1] 547688 244\n \n $variables$leverage.plots\n-[1] 547930 247\n+[1] 547932 247\n \n $variables$leveragePlot\n-[1] 548177 206\n+[1] 548179 206\n \n $variables$leveragePlot.glm\n-[1] 548383 244\n+[1] 548385 244\n \n $variables$leveragePlot.lm\n-[1] 548627 4046\n+[1] 548629 4046\n \n $variables$leveragePlots\n-[1] 552673 2483\n+[1] 552675 2483\n \n $variables$lht\n-[1] 555156 236\n+[1] 555158 236\n \n $variables$linear.hypothesis\n-[1] 555392 249\n+[1] 555394 249\n \n $variables$linearHypothesis\n-[1] 555641 209\n+[1] 555643 209\n \n $variables$linearHypothesis.default\n-[1] 555850 5701\n+[1] 555852 5701\n \n $variables$linearHypothesis.glm\n-[1] 561551 244\n+[1] 561553 244\n \n $variables$linearHypothesis.lm\n-[1] 561795 2843\n+[1] 561797 2843\n \n $variables$linearHypothesis.lmList\n-[1] 564638 1607\n+[1] 564640 1607\n \n $variables$linearHypothesis.lme\n-[1] 566245 4126\n+[1] 566247 4126\n \n $variables$linearHypothesis.mer\n-[1] 570371 5342\n+[1] 570373 5342\n \n $variables$linearHypothesis.merMod\n-[1] 575713 418\n+[1] 575715 418\n \n $variables$linearHypothesis.mlm\n-[1] 576131 5816\n+[1] 576133 5816\n \n $variables$linearHypothesis.nlsList\n-[1] 581947 222\n+[1] 581949 222\n \n $variables$linearHypothesis.polr\n-[1] 582169 683\n+[1] 582171 683\n \n $variables$linearHypothesis.rlm\n-[1] 582852 276\n+[1] 582854 276\n \n $variables$linearHypothesis.survreg\n-[1] 583128 1000\n+[1] 583130 1000\n \n $variables$linearHypothesis.svyglm\n-[1] 584128 244\n+[1] 584130 244\n \n $variables$lm2glm\n-[1] 584372 897\n+[1] 584374 897\n \n $variables$loessLine\n-[1] 585269 5971\n+[1] 585271 5971\n \n $variables$logLik.coxph\n-[1] 591240 246\n+[1] 591242 246\n \n $variables$logLik.survreg\n-[1] 591486 246\n+[1] 591488 246\n \n $variables$logit\n-[1] 591732 1842\n+[1] 591734 1842\n \n $variables$makeHypothesis\n-[1] 593574 5180\n+[1] 593576 5180\n \n $variables$makeLinearCombinations\n-[1] 598754 1367\n+[1] 598756 1367\n \n $variables$marginalModelPlot\n-[1] 600121 193\n+[1] 600123 193\n \n $variables$marginalModelPlots\n-[1] 600314 175\n+[1] 600316 175\n \n $variables$matchCoefs\n-[1] 600489 199\n+[1] 600491 199\n \n $variables$matchCoefs.default\n-[1] 600688 385\n+[1] 600690 385\n \n $variables$matchCoefs.lmList\n-[1] 601073 424\n+[1] 601075 424\n \n $variables$matchCoefs.lme\n-[1] 601497 258\n+[1] 601499 258\n \n $variables$matchCoefs.mer\n-[1] 601755 258\n+[1] 601757 258\n \n $variables$matchCoefs.merMod\n-[1] 602013 258\n+[1] 602015 258\n \n $variables$matchCoefs.mlm\n-[1] 602271 382\n+[1] 602273 382\n \n $variables$matchFun\n-[1] 602653 454\n+[1] 602655 454\n \n $variables$mcPlot\n-[1] 603107 185\n+[1] 603109 185\n \n $variables$mcPlot.glm\n-[1] 603292 297\n+[1] 603294 297\n \n $variables$mcPlot.lm\n-[1] 603589 6602\n+[1] 603591 6602\n \n $variables$mcPlots\n-[1] 610191 201\n+[1] 610193 201\n \n $variables$mcPlots.default\n-[1] 610392 3197\n+[1] 610394 3197\n \n $variables$mfrow\n-[1] 613589 630\n+[1] 613591 630\n \n $variables$mmp\n-[1] 614219 196\n+[1] 614221 196\n \n $variables$mmp.default\n-[1] 614415 6041\n+[1] 614417 6041\n \n $variables$mmp.glm\n-[1] 620456 6540\n+[1] 620458 6540\n \n $variables$mmp.lm\n-[1] 626996 645\n+[1] 626998 645\n \n $variables$mmps\n-[1] 627641 5964\n+[1] 627643 5964\n \n $variables$model.matrix.coxme\n-[1] 633605 495\n+[1] 633607 495\n \n $variables$model.matrix.gls\n-[1] 634100 384\n+[1] 634102 384\n \n $variables$model.matrix.lme\n-[1] 634484 509\n+[1] 634486 509\n \n $variables$model.matrix.survreg\n-[1] 634993 288\n+[1] 634995 288\n \n $variables$na.action.merMod\n-[1] 635281 627\n+[1] 635283 627\n \n $variables$ncv.test\n-[1] 635908 239\n+[1] 635910 239\n \n $variables$ncvTest\n-[1] 636147 201\n+[1] 636149 201\n \n $variables$ncvTest.glm\n-[1] 636348 227\n+[1] 636350 227\n \n $variables$ncvTest.lm\n-[1] 636575 2501\n+[1] 636577 2501\n \n $variables$nextBoot\n-[1] 639076 279\n+[1] 639078 279\n \n $variables$nextBoot.default\n-[1] 639355 276\n+[1] 639357 276\n \n $variables$nextBoot.lm\n-[1] 639631 259\n+[1] 639633 259\n \n $variables$nextBoot.nls\n-[1] 639890 449\n+[1] 639892 449\n \n $variables$nice\n-[1] 640339 1114\n+[1] 640341 1114\n \n $variables$outerLegend\n-[1] 641453 1120\n+[1] 641455 1120\n \n $variables$outlier.test\n-[1] 642573 244\n+[1] 642575 244\n \n $variables$outlierTest\n-[1] 642817 205\n+[1] 642819 205\n \n $variables$outlierTest.lm\n-[1] 643022 2048\n+[1] 643024 2048\n \n $variables$outlierTest.lmerMod\n-[1] 645070 253\n+[1] 645072 253\n \n $variables$package.installed\n-[1] 645323 491\n+[1] 645325 491\n \n $variables$panel.car\n-[1] 645814 821\n+[1] 645816 821\n \n $variables$plotArrayLegend\n-[1] 646635 1626\n+[1] 646637 1626\n \n $variables$poTest\n-[1] 648261 200\n+[1] 648263 200\n \n $variables$poTest.polr\n-[1] 648461 5050\n+[1] 648463 5050\n \n $variables$pointLabel\n-[1] 653511 13161\n+[1] 653513 13161\n \n $variables$powerTransform\n-[1] 666672 195\n+[1] 666674 195\n \n $variables$powerTransform.default\n-[1] 666867 913\n+[1] 666869 913\n \n $variables$powerTransform.formula\n-[1] 667780 1808\n+[1] 667782 1808\n \n $variables$powerTransform.lm\n-[1] 669588 1111\n+[1] 669590 1111\n \n $variables$powerTransform.lmerMod\n-[1] 670699 400\n+[1] 670701 400\n \n $variables$predictor.names\n-[1] 671099 209\n+[1] 671101 209\n \n $variables$predictor.names.default\n-[1] 671308 451\n+[1] 671310 451\n \n $variables$print.Anova.mlm\n-[1] 671759 2981\n+[1] 671761 2981\n \n $variables$print.S.glm\n-[1] 674740 4977\n+[1] 674742 4977\n \n $variables$print.S.glmerMod\n-[1] 679717 2350\n+[1] 679719 2350\n \n $variables$print.S.lm\n-[1] 682067 5364\n+[1] 682069 5364\n \n $variables$print.S.lme\n-[1] 687431 3405\n+[1] 687433 3405\n \n $variables$print.S.lmerMod\n-[1] 690836 2360\n+[1] 690838 2360\n \n $variables$print.S.multinom\n-[1] 693196 3012\n+[1] 693198 3012\n \n $variables$print.S.polr\n-[1] 696208 1980\n+[1] 696210 1980\n \n $variables$print.bcnPowerTransform\n-[1] 698188 739\n+[1] 698190 739\n \n $variables$print.boxTidwell\n-[1] 698927 1161\n+[1] 698929 1161\n \n $variables$print.chisqTest\n-[1] 700088 1040\n+[1] 700090 1040\n \n $variables$print.confint.boot\n-[1] 701128 422\n+[1] 701130 422\n \n $variables$print.deltaMethod\n-[1] 701550 414\n+[1] 701552 414\n \n $variables$print.durbinWatsonTest\n-[1] 701964 1272\n+[1] 701966 1272\n \n $variables$print.fitstats\n-[1] 703236 623\n+[1] 703238 623\n \n $variables$print.linearHypothesis.mlm\n-[1] 703859 3691\n+[1] 703861 3691\n \n $variables$print.outlierTest\n-[1] 707550 1028\n+[1] 707552 1028\n \n $variables$print.poTest\n-[1] 708578 1473\n+[1] 708580 1473\n \n $variables$print.powerTransform\n-[1] 710051 532\n+[1] 710053 532\n \n $variables$print.spreadLevelPlot\n-[1] 710583 499\n+[1] 710585 499\n \n $variables$print.summary.Anova.mlm\n-[1] 711082 2346\n+[1] 711084 2346\n \n $variables$print.summary.bcnPowerTransform\n-[1] 713428 960\n+[1] 713430 960\n \n $variables$print.summary.boot\n-[1] 714388 873\n+[1] 714390 873\n \n $variables$print.summary.powerTransform\n-[1] 715261 1392\n+[1] 715263 1392\n \n $variables$print.univaov\n-[1] 716653 2091\n+[1] 716655 2091\n \n $variables$printHypothesis\n-[1] 718744 2711\n+[1] 718746 2711\n \n $variables$probabilityAxis\n-[1] 721455 3184\n+[1] 721457 3184\n \n $variables$qq.plot\n-[1] 724639 239\n+[1] 724641 239\n \n $variables$qqPlot\n-[1] 724878 197\n+[1] 724880 197\n \n $variables$qqPlot.default\n-[1] 725075 7971\n+[1] 725077 7971\n \n $variables$qqPlot.formula\n-[1] 733046 2530\n+[1] 733048 2530\n \n $variables$qqPlot.glm\n-[1] 735576 257\n+[1] 735578 257\n \n $variables$qqPlot.lm\n-[1] 735833 7423\n+[1] 735835 7423\n \n $variables$qqp\n-[1] 743256 178\n+[1] 743258 178\n \n $variables$quantregLine\n-[1] 743434 5477\n+[1] 743436 5477\n \n $variables$recode\n-[1] 748911 3951\n+[1] 748913 3951\n \n $variables$reg\n-[1] 752862 1297\n+[1] 752864 1297\n \n $variables$regLine\n-[1] 754159 1314\n+[1] 754161 1314\n \n $variables$relatives\n-[1] 755473 995\n+[1] 755475 995\n \n $variables$residCurvTest\n-[1] 756468 212\n+[1] 756470 212\n \n $variables$residCurvTest.glm\n-[1] 756680 1020\n+[1] 756682 1020\n \n $variables$residCurvTest.lm\n-[1] 757700 1605\n+[1] 757702 1605\n \n $variables$residCurvTest.negbin\n-[1] 759305 1014\n+[1] 759307 1014\n \n $variables$residualPlot\n-[1] 760319 189\n+[1] 760321 189\n \n $variables$residualPlot.default\n-[1] 760508 9599\n+[1] 760510 9599\n \n $variables$residualPlot.glm\n-[1] 770107 406\n+[1] 770109 406\n \n $variables$residualPlot.lm\n-[1] 770513 258\n+[1] 770515 258\n \n $variables$residualPlots\n-[1] 770771 206\n+[1] 770773 206\n \n $variables$residualPlots.default\n-[1] 770977 6064\n+[1] 770979 6064\n \n $variables$residualPlots.glm\n-[1] 777041 259\n+[1] 777043 259\n \n $variables$residualPlots.lm\n-[1] 777300 259\n+[1] 777302 259\n \n $variables$response\n-[1] 777559 200\n+[1] 777561 200\n \n $variables$response.default\n-[1] 777759 244\n+[1] 777761 244\n \n $variables$responseName\n-[1] 778003 204\n+[1] 778005 204\n \n $variables$responseName.default\n-[1] 778207 351\n+[1] 778209 351\n \n $variables$scatter3d\n-[1] 778558 350\n+[1] 778560 350\n \n $variables$scatter3d.default\n-[1] 778908 18583\n+[1] 778910 18583\n \n $variables$scatter3d.formula\n-[1] 797491 3047\n+[1] 797493 3047\n \n $variables$scatterplot\n-[1] 800538 202\n+[1] 800540 202\n \n $variables$scatterplot.default\n-[1] 800740 15921\n+[1] 800742 15921\n \n $variables$scatterplot.formula\n-[1] 816661 3916\n+[1] 816663 3916\n \n $variables$scatterplot.matrix\n-[1] 820577 252\n+[1] 820579 252\n \n $variables$scatterplotMatrix\n-[1] 820829 208\n+[1] 820831 208\n \n $variables$scatterplotMatrix.default\n-[1] 821037 14801\n+[1] 821039 14801\n \n $variables$scatterplotMatrix.formula\n-[1] 835838 2382\n+[1] 835840 2382\n \n $variables$showLabels\n-[1] 838220 1001\n+[1] 838222 1001\n \n $variables$showLabels1\n-[1] 839221 6624\n+[1] 839223 6624\n \n $variables$showLabels3d\n-[1] 845845 2361\n+[1] 845847 2361\n \n $variables$showLabelsScatter\n-[1] 848206 3773\n+[1] 848208 3773\n \n $variables$sigmaHat\n-[1] 851979 198\n+[1] 851981 198\n \n $variables$sigmaHat.default\n-[1] 852177 267\n+[1] 852179 267\n \n $variables$sigmaHat.glm\n-[1] 852444 286\n+[1] 852446 286\n \n $variables$sigmaHat.lm\n-[1] 852730 226\n+[1] 852732 226\n \n $variables$skewPower\n-[1] 852956 242\n+[1] 852958 242\n \n $variables$slp\n-[1] 853198 186\n+[1] 853200 186\n \n $variables$some\n-[1] 853384 181\n+[1] 853386 181\n \n $variables$some.data.frame\n-[1] 853565 624\n+[1] 853567 624\n \n $variables$some.default\n-[1] 854189 673\n+[1] 854191 673\n \n $variables$some.matrix\n-[1] 854862 624\n+[1] 854864 624\n \n $variables$sp\n-[1] 855486 188\n+[1] 855488 188\n \n $variables$spm\n-[1] 855674 253\n+[1] 855676 253\n \n $variables$spread.level.plot\n-[1] 855927 248\n+[1] 855929 248\n \n $variables$spreadLevelPlot\n-[1] 856175 206\n+[1] 856177 206\n \n $variables$spreadLevelPlot.default\n-[1] 856381 4253\n+[1] 856383 4253\n \n $variables$spreadLevelPlot.formula\n-[1] 860634 1811\n+[1] 860636 1811\n \n $variables$spreadLevelPlot.lm\n-[1] 862445 4548\n+[1] 862447 4548\n \n $variables$squeezeBlanks\n-[1] 866993 251\n+[1] 866995 251\n \n $variables$strings2factors\n-[1] 867244 257\n+[1] 867246 257\n \n $variables$strings2factors.data.frame\n-[1] 867501 1939\n+[1] 867503 1939\n \n $variables$subsets\n-[1] 869440 204\n+[1] 869442 204\n \n $variables$subsets.regsubsets\n-[1] 869644 3302\n+[1] 869646 3302\n \n $variables$summary.Anova.mlm\n-[1] 872946 10553\n+[1] 872948 10553\n \n $variables$summary.bcnPowerTransform\n-[1] 883499 2189\n+[1] 883501 2189\n \n $variables$summary.bcnPowerTransformlmer\n-[1] 885688 2249\n+[1] 885690 2249\n \n $variables$summary.boot\n-[1] 887937 3785\n+[1] 887939 3785\n \n $variables$summary.powerTransform\n-[1] 891722 1596\n+[1] 891724 1596\n \n $variables$symbox\n-[1] 893318 197\n+[1] 893320 197\n \n $variables$symbox.default\n-[1] 893515 2157\n+[1] 893517 2157\n \n $variables$symbox.formula\n-[1] 895672 1397\n+[1] 895674 1397\n \n $variables$symbox.lm\n-[1] 897069 2661\n+[1] 897071 2661\n \n $variables$term.names\n-[1] 899730 204\n+[1] 899732 204\n \n $variables$term.names.default\n-[1] 899934 423\n+[1] 899936 423\n \n $variables$termsToMf\n-[1] 900357 2359\n+[1] 900359 2359\n \n $variables$testTransform\n-[1] 902716 196\n+[1] 902718 196\n \n $variables$testTransform.bcnPowerTransform\n-[1] 902912 2260\n+[1] 902914 2260\n \n $variables$testTransform.bcnPowerTransformlmer\n-[1] 905172 2234\n+[1] 905174 2234\n \n $variables$testTransform.lmerModpowerTransform\n-[1] 907406 1470\n+[1] 907408 1470\n \n $variables$testTransform.powerTransform\n-[1] 908876 2035\n+[1] 908878 2035\n \n $variables$tukeyNonaddTest\n-[1] 910911 1427\n+[1] 910913 1427\n \n $variables$vcov.bcnPowerTransform\n-[1] 912338 728\n+[1] 912340 728\n \n $variables$vcov.boot\n-[1] 913066 817\n+[1] 913068 817\n \n $variables$vcov.powerTransform\n-[1] 913883 488\n+[1] 913885 488\n \n $variables$vcov.svyolr\n-[1] 914371 370\n+[1] 914373 370\n \n $variables$vif\n-[1] 914741 194\n+[1] 914743 194\n \n $variables$vif.default\n-[1] 914935 2358\n+[1] 914937 2358\n \n $variables$vif.lm\n-[1] 917293 5041\n+[1] 917295 5041\n \n $variables$vif.merMod\n-[1] 922334 2360\n+[1] 922336 2360\n \n $variables$vif.polr\n-[1] 924694 2196\n+[1] 924696 2196\n \n $variables$vif.svyolr\n-[1] 926890 2246\n+[1] 926892 2246\n \n $variables$wcrossprod\n-[1] 929136 1831\n+[1] 929138 1831\n \n $variables$which.names\n-[1] 930967 216\n+[1] 930969 216\n \n $variables$whichNames\n-[1] 931183 216\n+[1] 931185 216\n \n $variables$whichNames.data.frame\n-[1] 931399 981\n+[1] 931401 981\n \n $variables$whichNames.default\n-[1] 932380 979\n+[1] 932382 979\n \n $variables$yjPower\n-[1] 933359 2430\n+[1] 933361 2430\n \n $variables$yjPowerAxis\n-[1] 935789 2667\n+[1] 935791 2667\n \n \n $references\n $references$`env::1`\n-[1] 303 1267\n+[1] 303 1269\n \n $references$`env::2`\n [1] 0 139\n \n $references$`env::3`\n [1] 139 164\n \n $references$`env::4`\n-[1] 1630 139\n+[1] 1632 139\n \n $references$`env::5`\n-[1] 1897 139\n+[1] 1899 139\n \n $references$`env::6`\n-[1] 314912 343\n+[1] 314914 343\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] 266 19773\n+[1] 269 19776\n \n $variables$Boot\n-[1] 20303 8154\n+[1] 20312 8156\n \n $variables$Boxplot\n-[1] 28726 4439\n+[1] 28739 4438\n \n $variables$Contrasts\n-[1] 33435 4983\n+[1] 33449 4985\n \n $variables$Ellipses\n-[1] 38687 11640\n+[1] 38705 11642\n \n $variables$Export\n-[1] 50595 2779\n+[1] 50618 2782\n \n $variables$Import\n-[1] 53642 3447\n+[1] 53670 3449\n \n $variables$Predict\n-[1] 57357 3640\n+[1] 57389 3641\n \n $variables$S\n-[1] 61260 12348\n+[1] 61296 12351\n \n $variables$ScatterplotSmoothers\n-[1] 73886 8082\n+[1] 73928 8084\n \n $variables$Tapply\n-[1] 82237 2980\n+[1] 82283 2982\n \n $variables$TransformationAxes\n-[1] 85494 7170\n+[1] 85544 7172\n \n $variables$avPlots\n-[1] 92932 9384\n+[1] 92987 9386\n \n $variables$bcPower\n-[1] 102584 5766\n+[1] 102644 5767\n \n $variables$boxCox\n-[1] 108619 7836\n+[1] 108682 7838\n \n $variables$boxCoxVariable\n-[1] 116730 2567\n+[1] 116797 2569\n \n $variables$boxTidwell\n-[1] 119569 3714\n+[1] 119640 3716\n \n $variables$brief\n-[1] 123549 6810\n+[1] 123624 6811\n \n $variables$`car-defunct`\n-[1] 130629 3867\n+[1] 130707 3869\n \n $variables$`car-deprecated`\n-[1] 134768 1297\n+[1] 134850 1300\n \n $variables$`car-internal`\n-[1] 136335 782\n+[1] 136423 783\n \n $variables$carHexsticker\n-[1] 137390 863\n+[1] 137482 865\n \n $variables$carPalette\n-[1] 138523 2427\n+[1] 138619 2429\n \n $variables$carWeb\n-[1] 141217 2494\n+[1] 141318 2496\n \n $variables$ceresPlots\n-[1] 143981 6218\n+[1] 144087 6219\n \n $variables$compareCoefs\n-[1] 150471 3231\n+[1] 150581 3233\n \n $variables$crPlots\n-[1] 153970 9705\n+[1] 154085 9708\n \n $variables$deltaMethod\n-[1] 163946 10778\n+[1] 164067 10780\n \n $variables$densityPlot\n-[1] 174996 8563\n+[1] 175121 8565\n \n $variables$dfbetaPlots\n-[1] 183830 4580\n+[1] 183959 4583\n \n $variables$durbinWatsonTest\n-[1] 188685 2908\n+[1] 188819 2909\n \n $variables$hccm\n-[1] 191857 4805\n+[1] 191995 4807\n \n $variables$hist.boot\n-[1] 196932 8566\n+[1] 197074 8568\n \n $variables$infIndexPlot\n-[1] 205770 4650\n+[1] 205917 4652\n \n $variables$`influence-mixed-models`\n-[1] 210700 5427\n+[1] 210851 5429\n \n $variables$influencePlot\n-[1] 216400 3986\n+[1] 216555 3988\n \n $variables$invResPlot\n-[1] 220657 4098\n+[1] 220816 4100\n \n $variables$invTranPlot\n-[1] 225027 5941\n+[1] 225190 5943\n \n $variables$leveneTest\n-[1] 231238 2876\n+[1] 231406 2877\n \n $variables$leveragePlots\n-[1] 234386 5058\n+[1] 234558 5061\n \n $variables$linearHypothesis\n-[1] 239720 18438\n+[1] 239897 18424\n \n $variables$logit\n-[1] 258424 2354\n+[1] 258590 2355\n \n $variables$marginalModelPlot\n-[1] 261053 9655\n+[1] 261223 9657\n \n $variables$mcPlots\n-[1] 270976 8616\n+[1] 271150 8618\n \n $variables$ncvTest\n-[1] 279860 2862\n+[1] 280039 2863\n \n $variables$outlierTest\n-[1] 282993 3688\n+[1] 283175 3690\n \n $variables$panel.car\n-[1] 286950 2142\n+[1] 287137 2144\n \n $variables$poTest\n-[1] 289360 1924\n+[1] 289552 1927\n \n $variables$pointLabel\n-[1] 291555 5165\n+[1] 291752 5167\n \n $variables$powerTransform\n-[1] 296994 10652\n+[1] 297195 10654\n \n $variables$qqPlot\n-[1] 307914 9082\n+[1] 308120 9084\n \n $variables$recode\n-[1] 317263 6887\n+[1] 317474 6890\n \n $variables$regLine\n-[1] 324418 2501\n+[1] 324635 2503\n \n $variables$residualPlots\n-[1] 327191 10758\n+[1] 327413 10761\n \n $variables$scatter3d\n-[1] 338219 14087\n+[1] 338446 14090\n \n $variables$scatterplot\n-[1] 352576 13790\n+[1] 352809 13792\n \n $variables$scatterplotMatrix\n-[1] 366641 12166\n+[1] 366880 12168\n \n $variables$showLabels\n-[1] 379078 5814\n+[1] 379322 5817\n \n $variables$sigmaHat\n-[1] 385162 1317\n+[1] 385410 1319\n \n $variables$some\n-[1] 386743 2086\n+[1] 386996 2088\n \n $variables$spreadLevelPlot\n-[1] 389104 7120\n+[1] 389361 7122\n \n $variables$strings2factors\n-[1] 396497 2665\n+[1] 396759 2667\n \n $variables$subsets\n-[1] 399429 4219\n+[1] 399696 4220\n \n $variables$symbox\n-[1] 403916 4002\n+[1] 404187 4005\n \n $variables$testTransform\n-[1] 408192 3343\n+[1] 408468 3346\n \n $variables$vif\n-[1] 411800 4851\n+[1] 412082 4853\n \n $variables$wcrossprod\n-[1] 416922 2234\n+[1] 417208 2236\n \n $variables$which.names\n-[1] 419426 1649\n+[1] 419717 1651\n \n \n $references\n $references$`env::1`\n-[1] 0 266\n+[1] 0 269\n \n $references$`env::10`\n-[1] 73608 278\n+[1] 73647 281\n \n $references$`env::11`\n-[1] 81968 269\n+[1] 82012 271\n \n $references$`env::12`\n-[1] 85217 277\n+[1] 85265 279\n \n $references$`env::13`\n-[1] 92664 268\n+[1] 92716 271\n \n $references$`env::14`\n-[1] 102316 268\n+[1] 102373 271\n \n $references$`env::15`\n-[1] 108350 269\n+[1] 108411 271\n \n $references$`env::16`\n-[1] 116455 275\n+[1] 116520 277\n \n $references$`env::17`\n-[1] 119297 272\n+[1] 119366 274\n \n $references$`env::18`\n-[1] 123283 266\n+[1] 123356 268\n \n $references$`env::19`\n-[1] 130359 270\n+[1] 130435 272\n \n $references$`env::2`\n-[1] 20039 264\n+[1] 20045 267\n \n $references$`env::20`\n-[1] 134496 272\n+[1] 134576 274\n \n $references$`env::21`\n-[1] 136065 270\n+[1] 136150 273\n \n $references$`env::22`\n-[1] 137117 273\n+[1] 137206 276\n \n $references$`env::23`\n-[1] 138253 270\n+[1] 138347 272\n \n $references$`env::24`\n-[1] 140950 267\n+[1] 141048 270\n \n $references$`env::25`\n-[1] 143711 270\n+[1] 143814 273\n \n $references$`env::26`\n-[1] 150199 272\n+[1] 150306 275\n \n $references$`env::27`\n-[1] 153702 268\n+[1] 153814 271\n \n $references$`env::28`\n-[1] 163675 271\n+[1] 163793 274\n \n $references$`env::29`\n-[1] 174724 272\n+[1] 174847 274\n \n $references$`env::3`\n-[1] 28457 269\n+[1] 28468 271\n \n $references$`env::30`\n-[1] 183559 271\n+[1] 183686 273\n \n $references$`env::31`\n-[1] 188410 275\n+[1] 188542 277\n \n $references$`env::32`\n-[1] 191593 264\n+[1] 191728 267\n \n $references$`env::33`\n-[1] 196662 270\n+[1] 196802 272\n \n $references$`env::34`\n-[1] 205498 272\n+[1] 205642 275\n \n $references$`env::35`\n-[1] 210420 280\n+[1] 210569 282\n \n $references$`env::36`\n-[1] 216127 273\n+[1] 216280 275\n \n $references$`env::37`\n-[1] 220386 271\n+[1] 220543 273\n \n $references$`env::38`\n-[1] 224755 272\n+[1] 224916 274\n \n $references$`env::39`\n-[1] 230968 270\n+[1] 231133 273\n \n $references$`env::4`\n-[1] 33165 270\n+[1] 33177 272\n \n $references$`env::40`\n-[1] 234114 272\n+[1] 234283 275\n \n $references$`env::41`\n-[1] 239444 276\n+[1] 239619 278\n \n $references$`env::42`\n-[1] 258158 266\n+[1] 258321 269\n \n $references$`env::43`\n-[1] 260778 275\n+[1] 260945 278\n \n $references$`env::44`\n-[1] 270708 268\n+[1] 270880 270\n \n $references$`env::45`\n-[1] 279592 268\n+[1] 279768 271\n \n $references$`env::46`\n-[1] 282722 271\n+[1] 282902 273\n \n $references$`env::47`\n-[1] 286681 269\n+[1] 286865 272\n \n $references$`env::48`\n-[1] 289092 268\n+[1] 289281 271\n \n $references$`env::49`\n-[1] 291284 271\n+[1] 291479 273\n \n $references$`env::5`\n-[1] 38418 269\n+[1] 38434 271\n \n $references$`env::50`\n-[1] 296720 274\n+[1] 296919 276\n \n $references$`env::51`\n-[1] 307646 268\n+[1] 307849 271\n \n $references$`env::52`\n-[1] 316996 267\n+[1] 317204 270\n \n $references$`env::53`\n-[1] 324150 268\n+[1] 324364 271\n \n $references$`env::54`\n-[1] 326919 272\n+[1] 327138 275\n \n $references$`env::55`\n-[1] 337949 270\n+[1] 338174 272\n \n $references$`env::56`\n-[1] 352306 270\n+[1] 352536 273\n \n $references$`env::57`\n-[1] 366366 275\n+[1] 366601 279\n \n $references$`env::58`\n-[1] 378807 271\n+[1] 379048 274\n \n $references$`env::59`\n-[1] 384892 270\n+[1] 385139 271\n \n $references$`env::6`\n-[1] 50327 268\n+[1] 50347 271\n \n $references$`env::60`\n-[1] 386479 264\n+[1] 386729 267\n \n $references$`env::61`\n-[1] 388829 275\n+[1] 389084 277\n \n $references$`env::62`\n-[1] 396224 273\n+[1] 396483 276\n \n $references$`env::63`\n-[1] 399162 267\n+[1] 399426 270\n \n $references$`env::64`\n-[1] 403648 268\n+[1] 403916 271\n \n $references$`env::65`\n-[1] 407918 274\n+[1] 408192 276\n \n $references$`env::66`\n-[1] 411535 265\n+[1] 411814 268\n \n $references$`env::67`\n-[1] 416651 271\n+[1] 416935 273\n \n $references$`env::68`\n-[1] 419156 270\n+[1] 419444 273\n \n $references$`env::7`\n-[1] 53374 268\n+[1] 53400 270\n \n $references$`env::8`\n-[1] 57089 268\n+[1] 57119 270\n \n $references$`env::9`\n-[1] 60997 263\n+[1] 61030 266\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"}]}]}]}]}]}]}