CRAN Package Check Results for Package doBy

Last updated on 2024-11-03 11:49:20 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 4.6.24 24.03 146.42 170.45 OK
r-devel-linux-x86_64-debian-gcc 4.6.24 0.62 2.07 2.69 ERROR
r-devel-linux-x86_64-fedora-clang 4.6.24 273.94 OK
r-devel-linux-x86_64-fedora-gcc 4.6.24 265.34 OK
r-devel-windows-x86_64 4.6.24 24.00 171.00 195.00 OK
r-patched-linux-x86_64 4.6.24 25.08 136.69 161.77 OK
r-release-linux-x86_64 4.6.24 20.33 117.70 138.03 ERROR
r-release-macos-arm64 4.6.24 87.00 NOTE
r-release-macos-x86_64 4.6.24 144.00 NOTE
r-release-windows-x86_64 4.6.24 25.00 176.00 201.00 OK
r-oldrel-macos-arm64 4.6.24 90.00 NOTE
r-oldrel-macos-x86_64 4.6.24 178.00 NOTE
r-oldrel-windows-x86_64 4.6.24 32.00 212.00 244.00 OK

Check Details

Version: 4.6.24
Check: whether package can be installed
Result: ERROR Installation failed. Flavor: r-devel-linux-x86_64-debian-gcc

Version: 4.6.24
Check: package dependencies
Result: NOTE Packages suggested but not available for checking: 'lme4', 'pbkrtest' Flavor: r-release-linux-x86_64

Version: 4.6.24
Check: examples
Result: ERROR Running examples in ‘doBy-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: ls-means > ### Title: Compute LS-means (aka population means or marginal means) > ### Aliases: ls-means LSmeans LSmeans.default LSmeans.lmerMod popMeans > ### popMeans.default popMeans.lmerMod > ### Keywords: utilities > > ### ** Examples > > > ## Two way anova: > > data(warpbreaks) > > m0 <- lm(breaks ~ wool + tension, data=warpbreaks) > m1 <- lm(breaks ~ wool * tension, data=warpbreaks) > LSmeans(m0) estimate std.error statistic df p.value [1,] 28.1481 1.5809 17.8052 50.0000 0 > LSmeans(m1) estimate std.error statistic df p.value [1,] 28.1481 1.4888 18.9068 48.0000 0 > > ## same as: > K <- LE_matrix(m0);K (Intercept) woolB tensionM tensionH [1,] 1 0.5 0.3333333 0.3333333 > linest(m0, K) estimate std.error statistic df p.value [1,] 28.1481 1.5809 17.8052 50.0000 0 > K <- LE_matrix(m1);K (Intercept) woolB tensionM tensionH woolB:tensionM woolB:tensionH [1,] 1 0.5 0.3333333 0.3333333 0.1666667 0.1666667 > linest(m1, K) estimate std.error statistic df p.value [1,] 28.1481 1.4888 18.9068 48.0000 0 > > LE_matrix(m0, effect="wool") (Intercept) woolB tensionM tensionH [1,] 1 0 0.3333333 0.3333333 [2,] 1 1 0.3333333 0.3333333 > LSmeans(m0, effect="wool") estimate std.error statistic df p.value [1,] 31.0370 2.2357 13.8824 50.0000 0 [2,] 25.2593 2.2357 11.2981 50.0000 0 > > LE_matrix(m1, effect="wool") (Intercept) woolB tensionM tensionH woolB:tensionM woolB:tensionH [1,] 1 0 0.3333333 0.3333333 0.0000000 0.0000000 [2,] 1 1 0.3333333 0.3333333 0.3333333 0.3333333 > LSmeans(m1, effect="wool") estimate std.error statistic df p.value [1,] 31.0370 2.1055 14.7412 48.0000 0 [2,] 25.2593 2.1055 11.9970 48.0000 0 > > LE_matrix(m0, effect=c("wool", "tension")) (Intercept) woolB tensionM tensionH [1,] 1 0 0 0 [2,] 1 1 0 0 [3,] 1 0 1 0 [4,] 1 1 1 0 [5,] 1 0 0 1 [6,] 1 1 0 1 > LSmeans(m0, effect=c("wool", "tension")) estimate std.error statistic df p.value [1,] 39.2778 3.1618 12.4227 50.0000 0 [2,] 33.5000 3.1618 10.5953 50.0000 0 [3,] 29.2778 3.1618 9.2599 50.0000 0 [4,] 23.5000 3.1618 7.4325 50.0000 0 [5,] 24.5556 3.1618 7.7664 50.0000 0 [6,] 18.7778 3.1618 5.9390 50.0000 0 > > LE_matrix(m1, effect=c("wool", "tension")) (Intercept) woolB tensionM tensionH woolB:tensionM woolB:tensionH [1,] 1 0 0 0 0 0 [2,] 1 1 0 0 0 0 [3,] 1 0 1 0 0 0 [4,] 1 1 1 0 1 0 [5,] 1 0 0 1 0 0 [6,] 1 1 0 1 0 1 > LSmeans(m1, effect=c("wool", "tension")) estimate std.error statistic df p.value [1,] 44.5556 3.6468 12.2178 48.0000 0 [2,] 28.2222 3.6468 7.7390 48.0000 0 [3,] 24.0000 3.6468 6.5812 48.0000 0 [4,] 28.7778 3.6468 7.8913 48.0000 0 [5,] 24.5556 3.6468 6.7335 48.0000 0 [6,] 18.7778 3.6468 5.1492 48.0000 0 > > > ## Regression; two parallel regression lines: > > data(Puromycin) > > m0 <- lm(rate ~ state + log(conc), data=Puromycin) > ## Can not use LSmeans / LE_matrix here because of > ## the log-transformation. Instead we must do: > Puromycin$lconc <- log( Puromycin$conc ) > m1 <- lm(rate ~ state + lconc, data=Puromycin) > > LE_matrix(m1) (Intercept) stateuntreated lconc [1,] 1 0.5 -1.905247 > LSmeans(m1) estimate std.error statistic df p.value [1,] 126.2787 2.3738 53.1965 20.0000 0 > > LE_matrix(m1, effect="state") (Intercept) stateuntreated lconc [1,] 1 0 -1.905247 [2,] 1 1 -1.905247 > LSmeans(m1, effect="state") estimate std.error statistic df p.value [1,] 138.8689 3.2868 42.2509 20.0000 0 [2,] 113.6884 3.4332 33.1140 20.0000 0 > > LE_matrix(m1, effect="state", at=list(lconc=3)) (Intercept) stateuntreated lconc [1,] 1 0 3 [2,] 1 1 3 > LSmeans(m1, effect="state", at=list(lconc=3)) estimate std.error statistic df p.value [1,] 298.6019 9.3499 31.9363 20.0000 0 [2,] 273.4214 9.6975 28.1950 20.0000 0 > > ## Non estimable contrasts > > ## ## Make balanced dataset > dat.bal <- expand.grid(list(AA=factor(1:2), BB=factor(1:3), + CC=factor(1:3))) > dat.bal$y <- rnorm(nrow(dat.bal)) > > ## ## Make unbalanced dataset > # 'BB' is nested within 'CC' so BB=1 is only found when CC=1 > # and BB=2,3 are found in each CC=2,3,4 > dat.nst <- dat.bal > dat.nst$CC <-factor(c(1, 1, 2, 2, 2, 2, 1, 1, 3, 3, + 3, 3, 1, 1, 4, 4, 4, 4)) > > mod.bal <- lm(y ~ AA + BB * CC, data=dat.bal) > mod.nst <- lm(y ~ AA + BB : CC, data=dat.nst) > > LSmeans(mod.bal, effect=c("BB", "CC")) estimate std.error statistic df p.value [1,] -0.22141 0.67494 -0.32804 8.00000 0.7513 [2,] 0.37983 0.67494 0.56276 8.00000 0.5890 [3,] -0.24548 0.67494 -0.36371 8.00000 0.7255 [4,] 0.61288 0.67494 0.90805 8.00000 0.3904 [5,] 0.13520 0.67494 0.20031 8.00000 0.8462 [6,] 0.95081 0.67494 1.40874 8.00000 0.1966 [7,] -1.41797 0.67494 -2.10090 8.00000 0.0688 [8,] 0.54000 0.67494 0.80007 8.00000 0.4468 [9,] 0.46382 0.67494 0.68721 8.00000 0.5114 > LSmeans(mod.nst, effect=c("BB", "CC")) estimate std.error statistic df p.value [1,] -0.34217 0.43697 -0.78304 10.00000 0.4518 [2,] NA NA NA NA NA [3,] NA NA NA NA NA [4,] NA NA NA NA NA [5,] 0.37983 0.75686 0.50185 10.00000 0.6266 [6,] -0.24548 0.75686 -0.32434 10.00000 0.7524 [7,] NA NA NA NA NA [8,] 0.13520 0.75686 0.17863 10.00000 0.8618 [9,] 0.95081 0.75686 1.25626 10.00000 0.2376 [10,] NA NA NA NA NA [11,] 0.54000 0.75686 0.71347 10.00000 0.4919 [12,] NA NA NA NA NA > LSmeans(mod.nst, at=list(BB=1, CC=1)) estimate std.error statistic df p.value [1,] -0.34217 0.43697 -0.78304 10.00000 0.4518 > > LSmeans(mod.nst, at=list(BB=1, CC=2)) estimate std.error statistic df p.value [1,] NA NA NA NA NA > ## Above: NA's are correct; not an estimable function > > if( require( lme4 )){ + warp.mm <- lmer(breaks ~ -1 + tension + (1|wool), data=warpbreaks) + LSmeans(warp.mm, effect="tension") + class(warp.mm) + fixef(warp.mm) + coef(summary(warp.mm)) + vcov(warp.mm) + if (require(pbkrtest)) + vcovAdj(warp.mm) + } Loading required package: lme4 Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘lme4’ > > LSmeans(warp.mm, effect="tension") Error: object 'warp.mm' not found Execution halted Flavor: r-release-linux-x86_64

Version: 4.6.24
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘doby.rmd’ using knitr ** Processing: figure/unnamed-chunk-27-1.png 504x504 pixels, 3x8 bits/pixel, RGB Input IDAT size = 32155 bytes Input file size = 32269 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 25263 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 25263 Output IDAT size = 25263 bytes (6892 bytes decrease) Output file size = 25341 bytes (6928 bytes = 21.47% decrease) ** Processing: figure/unnamed-chunk-28-1.png 504x504 pixels, 3x8 bits/pixel, RGB Input IDAT size = 24608 bytes Input file size = 24722 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 19536 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 19536 Output IDAT size = 19536 bytes (5072 bytes decrease) Output file size = 19614 bytes (5108 bytes = 20.66% decrease) ** Processing: figure/unnamed-chunk-29-1.png 504x504 pixels, 3x8 bits/pixel, RGB Input IDAT size = 18315 bytes Input file size = 18417 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 14654 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 14654 Output IDAT size = 14654 bytes (3661 bytes decrease) Output file size = 14732 bytes (3685 bytes = 20.01% decrease) ** Processing: figure/unnamed-chunk-31-1.png 504x504 pixels, 8 bits/pixel, 256 colors in palette Reducing image to 8 bits/pixel, grayscale Input IDAT size = 18551 bytes Input file size = 19433 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 16965 zc = 9 zm = 8 zs = 1 f = 0 IDAT size = 16961 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 IDAT size = 13764 zc = 9 zm = 8 zs = 1 f = 5 IDAT size = 13760 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 1 f = 5 IDAT size = 13760 Output IDAT size = 13760 bytes (4791 bytes decrease) Output file size = 13838 bytes (5595 bytes = 28.79% decrease) ** Processing: figure/unnamed-chunk-33-1.png 504x504 pixels, 3x8 bits/pixel, RGB Input IDAT size = 26183 bytes Input file size = 26297 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 IDAT size = 24104 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 5 IDAT size = 24104 Output IDAT size = 24104 bytes (2079 bytes decrease) Output file size = 24182 bytes (2115 bytes = 8.04% decrease) ** Processing: figure/unnamed-chunk-37-1.png 504x504 pixels, 8 bits/pixel, 256 colors in palette Reducing image to 8 bits/pixel, grayscale Input IDAT size = 8484 bytes Input file size = 9354 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 7340 zc = 9 zm = 8 zs = 1 f = 0 IDAT size = 7335 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 1 f = 0 IDAT size = 7335 Output IDAT size = 7335 bytes (1149 bytes decrease) Output file size = 7413 bytes (1941 bytes = 20.75% decrease) ** Processing: figure/unnamed-chunk-38-1.png 504x504 pixels, 3x8 bits/pixel, RGB Input IDAT size = 46287 bytes Input file size = 46425 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 43654 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 IDAT size = 43207 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 5 IDAT size = 43207 Output IDAT size = 43207 bytes (3080 bytes decrease) Output file size = 43285 bytes (3140 bytes = 6.76% decrease) --- finished re-building ‘doby.rmd’ --- re-building ‘linest_lsmeans.rnw’ using knitr Quitting from lines 513-516 [unnamed-chunk-26] (linest_lsmeans.rnw) Error: processing vignette 'linest_lsmeans.rnw' failed with diagnostics: there is no package called ‘lme4’ --- failed re-building ‘linest_lsmeans.rnw’ --- re-building ‘section_fun.rmd’ using knitr --- finished re-building ‘section_fun.rmd’ SUMMARY: processing the following file failed: ‘linest_lsmeans.rnw’ Error: Vignette re-building failed. Execution halted Flavor: r-release-linux-x86_64

Version: 4.6.24
Check: HTML version of manual
Result: NOTE Skipping checking math rendering: package 'V8' unavailable Flavor: r-release-linux-x86_64

Version: 4.6.24
Check: installed package size
Result: NOTE installed size is 5.8Mb sub-directories of 1Mb or more: data 4.7Mb Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64