CRAN Package Check Results for Package psych

Last updated on 2018-10-24 05:49:57 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.8.4 36.95 315.99 352.94 OK
r-devel-linux-x86_64-debian-gcc 1.8.4 34.09 236.58 270.67 OK
r-devel-linux-x86_64-fedora-clang 1.8.4 417.81 NOTE
r-devel-linux-x86_64-fedora-gcc 1.8.4 401.78 OK
r-devel-windows-ix86+x86_64 1.8.4 69.00 387.00 456.00 ERROR
r-patched-linux-x86_64 1.8.4 36.41 304.84 341.25 OK
r-patched-solaris-x86 1.8.4 477.50 NOTE
r-release-linux-x86_64 1.8.4 38.05 302.90 340.95 OK
r-release-windows-ix86+x86_64 1.8.4 69.00 297.00 366.00 NOTE
r-release-osx-x86_64 1.8.4 NOTE
r-oldrel-windows-ix86+x86_64 1.8.4 56.00 407.00 463.00 NOTE
r-oldrel-osx-x86_64 1.8.4 NOTE

Check Details

Version: 1.8.4
Check: installed package size
Result: NOTE
     installed size is 6.2Mb
     sub-directories of 1Mb or more:
     R 1.6Mb
     doc 2.4Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-ix86+x86_64, r-patched-solaris-x86, r-release-windows-ix86+x86_64, r-release-osx-x86_64, r-oldrel-windows-ix86+x86_64, r-oldrel-osx-x86_64

Version: 1.8.4
Check: examples
Result: ERROR
    Running examples in 'psych-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: multilevel.reliability
    > ### Title: Find and plot various reliability/gneralizability coefficients
    > ### for multilevel data
    > ### Aliases: mlr multilevel.reliability mlArrange mlPlot
    > ### Keywords: multivariate models
    >
    > ### ** Examples
    >
    > #data from Shrout and Lane, 2012.
    >
    > shrout <- structure(list(Person = c(1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L,
    + 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L), Time = c(1L, 1L,
    + 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L,
    + 4L, 4L), Item1 = c(2L, 3L, 6L, 3L, 7L, 3L, 5L, 6L, 3L, 8L, 4L,
    + 4L, 7L, 5L, 6L, 1L, 5L, 8L, 8L, 6L), Item2 = c(3L, 4L, 6L, 4L,
    + 8L, 3L, 7L, 7L, 5L, 8L, 2L, 6L, 8L, 6L, 7L, 3L, 9L, 9L, 7L, 8L
    + ), Item3 = c(6L, 4L, 5L, 3L, 7L, 4L, 7L, 8L, 9L, 9L, 5L, 7L,
    + 9L, 7L, 8L, 4L, 7L, 9L, 9L, 6L)), .Names = c("Person", "Time",
    + "Item1", "Item2", "Item3"), class = "data.frame", row.names = c(NA,
    + -20L))
    >
    > #make shrout super wide
    > #Xwide <- reshape(shrout,v.names=c("Item1","Item2","Item3"),timevar="Time",
    > #direction="wide",idvar="Person")
    > #add more helpful Names
    > #colnames(Xwide ) <- c("Person",c(paste0("Item",1:3,".T",1),paste0("Item",1:3,".T",2),
    > #paste0("Item",1:3,".T",3),paste0("Item",1:3,".T",4)))
    > #make superwide into normal form (i.e., just return it to the original shrout data
    > #Xlong <-Xlong <- reshape(Xwide,idvar="Person",2:13)
    >
    > #Now use these data for a multilevel repliability study, use the normal wide form output
    > mg <- mlr(shrout,grp="Person",Time="Time",items=3:5)
    Error in `[[<-.data.frame`(`*tmp*`, i, value = c(2.34305555555555, 0.380555555555555, :
     replacement has 9 rows, data has 8
    Calls: mlr ... [<-.data.frame -> xpdrows.data.frame -> [[<- -> [[<-.data.frame
    Execution halted
Flavor: r-devel-windows-ix86+x86_64