CRAN Package Check Results for Package cvam

Last updated on 2022-01-18 05:50:09 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.9.2 65.90 109.75 175.65 OK
r-devel-linux-x86_64-debian-gcc 0.9.2 62.20 82.65 144.85 OK
r-devel-linux-x86_64-fedora-clang 0.9.2 244.05 OK
r-devel-linux-x86_64-fedora-gcc 0.9.2 229.83 OK
r-devel-windows-x86_64-new-UL 0.9.2 106.00 161.00 267.00 OK
r-devel-windows-x86_64-new-TK 0.9.2 WARN
r-patched-linux-x86_64 0.9.2 66.29 107.98 174.27 OK
r-release-linux-x86_64 0.9.2 OK
r-release-macos-arm64 0.9.2 OK
r-release-macos-x86_64 0.9.2 OK
r-release-windows-ix86+x86_64 0.9.2 173.00 148.00 321.00 OK
r-oldrel-macos-x86_64 0.9.2 OK
r-oldrel-windows-ix86+x86_64 0.9.2 173.00 144.00 317.00 OK

Check Details

Version: 0.9.2
Check: package dependencies
Result: NOTE
    Package suggested but not available for checking: 'lme4'
Flavor: r-devel-windows-x86_64-new-TK

Version: 0.9.2
Check: running R code from vignettes
Result: WARN
    Errors in running code in vignettes:
    when running code in 'UnderstandingCoarsenedFactorsInCvam.Rnw'
    
    > oldSweaveHooks <- options()$SweaveHooks
    
    > options(SweaveHooks = list(fig = function() par(mar = c(5.1,
    + 4.1, 1.1, 2.1))))
    
    > oldWidth <- options()$width
    
    > options(width = 90)
    
    > library(datasets)
    
    > data(ChickWeight)
    
    > ChickWeight[1:3, ]
     weight Time Chick Diet
    1 42 0 1 1
    2 51 2 1 1
    3 59 4 1 1
    
    > str(ChickWeight$Diet)
     Factor w/ 4 levels "1","2","3","4": 1 1 1 1 1 1 1 1 1 1 ...
    
    > aggregate(weight ~ Diet, data = subset(ChickWeight,
    + Time == 21), FUN = mean)
     Diet weight
    1 1 177.7500
    2 2 214.7000
    3 3 270.3000
    4 4 238.5556
    
    > plot(weight ~ Diet, data = subset(ChickWeight, Time ==
    + 21))
    
    > plot(weight ~ Diet, data = subset(ChickWeight, Time ==
    + 21))
    
    > result <- lm(weight ~ Diet, data = subset(ChickWeight,
    + Time == 21))
    
    > summary(result)$coef
     Estimate Std. Error t value Pr(>|t|)
    (Intercept) 177.75000 15.99540 11.112571 6.068920e-14
    Diet2 36.95000 25.79181 1.432626 1.595459e-01
    Diet3 92.55000 25.79181 3.588349 8.796253e-04
    Diet4 60.80556 26.65900 2.280864 2.782256e-02
    
    > library(nnet)
    
    > resultA <- multinom(Diet ~ weight, data = subset(ChickWeight,
    + Time == 0), trace = FALSE)
    
    > resultB <- multinom(Diet ~ 1, data = subset(ChickWeight,
    + Time == 0), trace = FALSE)
    
    > resultB$deviance - resultA$deviance
    [1] 3.56337
    
    > library(lme4)
    
     When sourcing 'UnderstandingCoarsenedFactorsInCvam.R':
    Error: there is no package called 'lme4'
    Execution halted
    
     'FittingLogLinearModelsInCvam.Rnw'... OK
     'UnderstandingCoarsenedFactorsInCvam.Rnw'... failed
Flavor: r-devel-windows-x86_64-new-TK

Version: 0.9.2
Check: re-building of vignette outputs
Result: NOTE
    Error(s) in re-building vignettes:
    --- re-building 'FittingLogLinearModelsInCvam.Rnw' using Sweave
    --- finished re-building 'FittingLogLinearModelsInCvam.Rnw'
    
    --- re-building 'UnderstandingCoarsenedFactorsInCvam.Rnw' using Sweave
    
    Error: processing vignette 'UnderstandingCoarsenedFactorsInCvam.Rnw' failed with diagnostics:
     chunk 8 (label = "lme4")
    Error in library(lme4) : there is no package called 'lme4'
    
    --- failed re-building 'UnderstandingCoarsenedFactorsInCvam.Rnw'
    
    SUMMARY: processing the following file failed:
     'UnderstandingCoarsenedFactorsInCvam.Rnw'
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-devel-windows-x86_64-new-TK