CRAN Package Check Results for Package Epi

Last updated on 2019-11-17 01:48:08 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.38 22.52 446.97 469.49 OK
r-devel-linux-x86_64-debian-gcc 2.38 16.33 327.98 344.31 OK
r-devel-linux-x86_64-fedora-clang 2.38 549.34 OK
r-devel-linux-x86_64-fedora-gcc 2.38 539.45 OK
r-devel-windows-ix86+x86_64 2.38 53.00 569.00 622.00 OK
r-patched-linux-x86_64 2.38 17.99 422.55 440.54 OK
r-patched-solaris-x86 2.38 905.30 OK
r-release-linux-x86_64 2.38 18.32 430.66 448.98 OK
r-release-windows-ix86+x86_64 2.38 36.00 489.00 525.00 ERROR
r-release-osx-x86_64 2.38 OK
r-oldrel-windows-ix86+x86_64 2.38 29.00 620.00 649.00 OK
r-oldrel-osx-x86_64 2.38 OK

Check Details

Version: 2.38
Check: running examples for arch ‘i386’
Result: ERROR
    Running examples in 'Epi-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: plotCIF
    > ### Title: Plotting Aalen-Johansen curves for competing events
    > ### Aliases: plotCIF stackedCIF
    >
    > ### ** Examples
    >
    > library(survival) # requires version 2.39-4 or later
    > head(mgus1)
     id age sex dxyr pcdx alb creat hgb mspike stop status event start enum
    1 1 78 female 68 <NA> 2.8 1.2 11.5 2.0 748 1 death 0 1
    2 2 73 female 66 LP NA NA NA 1.3 1310 1 pcm 0 1
    3 2 73 female 66 LP NA NA NA 1.3 6751 1 death 1310 2
    4 3 87 male 68 <NA> 2.2 1.1 11.2 1.3 277 1 death 0 1
    5 4 86 male 69 <NA> 2.8 1.3 15.3 1.8 1815 1 death 0 1
    6 5 74 female 68 <NA> 3.0 0.8 9.8 1.4 2587 1 death 0 1
    > # Aalen-Johansen estimates of CIF are plotted by sex for two
    > # competing events: (1) progression (pcm), and (2) death, in
    > # a cohort of patients with monoclonal gammopathy.
    >
    > # The data are actually covering transitions from pcm to death, too,
    > # for those entering the state of pcm. Such patients have two rows
    > # in the data frame, and in their 2nd row the 'start' time is
    > # the time to pcm (in days).
    >
    > # In our analysis we shall only include those time intervals with value 0
    > # for variable 'start'. Thus, the relevant follow-up time is represented
    > # by variable 'stop' (days). For convenience, days are converted to years.
    >
    > fitCI <- survfit(Surv(stop/365.25, event, type="mstate") ~ sex,
    + data= subset(mgus1, start==0) )
    Error in if (flag["teleport"] > 0) { :
     missing value where TRUE/FALSE needed
    Calls: survfit -> survfit.formula -> survfitCI -> survcheck2
    Execution halted
Flavor: r-release-windows-ix86+x86_64