CRAN Package Check Results for Package longitudinalData

Last updated on 2015-05-23 05:47:53.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.3 1.53 32.15 33.68 OK
r-devel-linux-x86_64-debian-gcc 2.3 2.21 30.43 32.64 OK
r-devel-linux-x86_64-fedora-clang 2.3 64.89 OK
r-devel-linux-x86_64-fedora-gcc 2.3 59.99 OK
r-devel-osx-x86_64-clang 2.3 102.97 OK
r-devel-windows-ix86+x86_64 2.3 5.00 47.00 52.00 OK
r-patched-linux-x86_64 2.3 1.52 31.50 33.01 OK
r-patched-solaris-sparc 2.3 353.60 OK
r-patched-solaris-x86 2.3 75.60 OK
r-release-linux-x86_64 2.3 1.88 30.77 32.65 OK
r-release-osx-x86_64-mavericks 2.3 OK
r-release-osx-x86_64-snowleopard 2.2 ERROR
r-release-windows-ix86+x86_64 2.3 7.00 49.00 56.00 OK
r-oldrel-windows-ix86+x86_64 2.3 8.00 48.00 56.00 OK

Check Details

Version: 2.2
Check: dependencies in R code
Result: NOTE
    Unexported objects imported by ':::' calls:
     ‘misc3d:::canonicalizeAndMergeScene’ ‘misc3d:::colorScene’
     ‘misc3d:::t2ve’
     See the note in ?`:::` about the use of this operator.
Flavor: r-release-osx-x86_64-snowleopard

Version: 2.2
Check: R code for possible problems
Result: NOTE
    .ListPartition.plotAllCriterion: no visible binding for global variable
     ‘CRITERION_NAMES’
    .ListPartition.plotAllCriterion: no visible binding for global variable
     ‘CLUSTER_NAMES’
    .ListPartition.plotCriterion: no visible binding for global variable
     ‘CLUSTER_NAMES’
    .listPartition.get: no visible binding for global variable
     ‘CRITERION_NAMES’
    .listPartition.get: no visible binding for global variable
     ‘CLUSTER_NAMES’
    .listPartition.set: no visible binding for global variable
     ‘CRITERION_NAMES’
    .listPartition.set: no visible binding for global variable
     ‘CLUSTER_NAMES’
    .partition.constructor: no visible binding for global variable
     ‘MAX_CLUSTERS’
    .partition.constructor: no visible binding for global variable
     ‘CRITERION_NAMES’
    .partition.validity: no visible binding for global variable
     ‘MAX_CLUSTERS’
    plotAllCriterion: no visible binding for global variable
     ‘CRITERION_NAMES’
    partition,ANY-matrix-ANY: no visible binding for global variable
     ‘MAX_CLUSTERS’
    partition,ANY-matrix-ANY: no visible binding for global variable
     ‘CRITERION_NAMES’
    partition,ANY-missing-ANY: no visible binding for global variable
     ‘MAX_CLUSTERS’
    partition,ANY-missing-ANY: no visible binding for global variable
     ‘CRITERION_NAMES’
    plotAllCriterion,ListPartition: no visible binding for global variable
     ‘CRITERION_NAMES’
    plotAllCriterion,ListPartition: no visible binding for global variable
     ‘CLUSTER_NAMES’
    plotCriterion,ListPartition: no visible binding for global variable
     ‘CLUSTER_NAMES’
Flavor: r-release-osx-x86_64-snowleopard

Version: 2.2
Check: examples
Result: ERROR
    Running examples in ‘longitudinalData-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: LongData-class
    > ### Title: ~ Class: LongData ~
    > ### Aliases: LongData LongData-class [,LongData-method [<-,LongData-method
    > ### show,LongData-method
    > ### Keywords: classes classif cluster ts
    >
    > ### ** Examples
    >
    > #################
    > ### building trajectory (longData)
    > mat <- matrix(c(NA,2,3,4,1,6,2,5,1,3,8,10),4)
    > ld <- longData(mat,idAll=c("I1","I2","I3","I4"),time=c(2,4,8),varNames="Age")
    >
    > ### '[' and '[<-'
    > ld["idAll"]
    [1] "I1" "I2" "I3" "I4"
    > ld["idFewNA"]
    [1] "I1" "I2" "I3" "I4"
    > ld["varNames"]
    [1] "Age"
    > ld["traj"]
     t2 t4 t8
    I1 NA 1 1
    I2 2 6 3
    I3 3 2 8
    I4 4 5 10
    > (ld)
    
     ~~~ Class: LongData ~~~
    ~ idAll = [4] I1 I2 I3 I4
    ~ idFewNA = [4] I1 I2 I3 I4
    ~ varNames = [1] Age
    ~ time = [3] 2 4 8
    ~ maxNA = [1] 1
    ~ reverse = [2x1]
     - mean = 0
     - SD = 1
    
    ~ traj = [4x3] (limited to 5x10) :
     t2 t4 t8
    I1 NA 1 1
    I2 2 6 3
    I3 3 2 8
    I4 4 5 10
    >
    > ### Plot
    > plotTraj(ld)
    >
    >
    > #################
    > ### building join trajectories (longData3d)
    > dn <- data.frame(id=1:3,v1=c(11,14,16),t1=c(1,5,7),v2=c(12,10,13),t2=c(2,5,0),t3=c(3,6,8))
    > (ld <- longData3d(dn,timeInData=list(Vir=c(2,4,NA),Tes=c(3,5,6))))
    
     ~~~ Class: LongData3d ~~~
    ~ idAll = [3] 1 2 3
    ~ idFewNA = [3] 1 2 3
    ~ varNames = [2] Vir Tes
    ~ time = [3] 1 2 3
    ~ maxNA = [2] 1 1
    ~ reverse = [2x2]
     - mean = 0 0
     - SD = 1 1
    
    ~ traj = [3x3x2] (limited to 5x10x3) :
    
     Vir :
     t1 t2 t3
    1 11 12 NA
    2 14 10 NA
    3 16 13 NA
    
     Tes :
     t1 t2 t3
    1 1 2 3
    2 5 5 6
    3 7 0 8
    >
    > ### Scaling
    > scale(ld)
    > (ld)
    
     ~~~ Class: LongData3d ~~~
    ~ idAll = [3] 1 2 3
    ~ idFewNA = [3] 1 2 3
    ~ varNames = [2] Vir Tes
    ~ time = [3] 1 2 3
    ~ maxNA = [2] 1 1
    ~ reverse = [2x2]
     - mean = 12.66667 4.111111
     - SD = 2.160247 2.758824
    
    ~ traj = [3x3x2] (limited to 5x10x3) :
    
     Vir :
     t1 t2 t3
    1 -0.7715167 -0.3086067 NA
    2 0.6172134 -1.2344268 NA
    3 1.5430335 0.1543033 NA
    
     Tes :
     t1 t2 t3
    1 -1.1276946 -0.7652213 -0.4027481
    2 0.3221984 0.3221984 0.6846717
    3 1.0471450 -1.4901678 1.4096182
    >
    > ### Plotting
    > plotTraj(ld)
    > plotTraj3d(ld)
    Fri Mar 20 18:46:04 hagal.research.att.com R[86026] <Error>: unknown error code: invalid pixel format
    Fri Mar 20 18:46:04 hagal.research.att.com R[86026] <Error>: kCGErrorFailure: Set a breakpoint @ CGErrorBreakpoint() to catch errors as they are logged.
    X Error of failed request: GLXBadContext
     Major opcode of failed request: 0 ()
     Serial number of failed request: 27
     Current serial number in output stream: 27
Flavor: r-release-osx-x86_64-snowleopard