CRAN Package Check Results for Package MVPARTwrap

Last updated on 2014-11-01 07:48:54.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1-9.2 5.73 75.51 81.24 OK
r-devel-linux-x86_64-debian-gcc 0.1-9.2 5.69 73.88 79.58 OK
r-devel-linux-x86_64-fedora-clang 0.1-9.2 196.04 OK
r-devel-linux-x86_64-fedora-gcc 0.1-9.2 187.47 OK
r-devel-osx-x86_64-clang 0.1-9.2 155.04 OK
r-devel-windows-ix86+x86_64 0.1-9.2 17.00 108.00 125.00 OK
r-patched-linux-x86_64 0.1-9.2 5.99 78.31 84.30 OK
r-patched-solaris-sparc 0.1-9.2 967.70 ERROR
r-patched-solaris-x86 0.1-9.2 370.50 OK
r-release-linux-ix86 0.1-9.2 8.07 99.93 108.00 OK
r-release-linux-x86_64 0.1-9.2 6.34 80.83 87.17 OK
r-release-osx-x86_64-mavericks 0.1-9.2 OK
r-release-osx-x86_64-snowleopard 0.1-9.2 ERROR
r-release-windows-ix86+x86_64 0.1-9.2 18.00 132.00 150.00 OK
r-oldrel-windows-ix86+x86_64 0.1-9.2 18.00 119.00 137.00 OK

Check Details

Version: 0.1-9.2
Check: examples
Result: ERROR
    Running examples in ‘MVPARTwrap-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: R2aGDF
    > ### Title: Adjustment for R^2 of Multivariate regression tree analysis
    > ### (MRT) based on general degrees of freedom (GDF) estimation
    > ### Aliases: R2aGDF
    > ### Keywords: Multivariate regression tree
    >
    > ### ** Examples
    >
    > # -------------------- #
    > # - MRT analysis - #
    > # -------------------- #
    > # ------------------------------------------------------------- #
    > require(vegan)
    Loading required package: vegan
    Loading required package: permute
    Loading required package: lattice
    This is vegan 2.0-10
    > require(labdsv)
    Loading required package: labdsv
    Loading required package: mgcv
    Loading required package: nlme
    This is mgcv 1.8-2. For overview type 'help("mgcv-package")'.
    Loading required package: MASS
    
    Attaching package: ‘labdsv’
    
    The following object is masked from ‘package:stats’:
    
     density
    
    > data(mite)
    > data(mite.env)
    > mite.hell<-decostand(mite,method='h')
    >
    >
    > # Polynomial water content
    > WaterCont.poly = poly(mite.env[,2], 3)
    > # All polynomial of water content are retained
    > # (according to forward selection)
    >
    > mite.tree<-mvpart(data.matrix(mite.hell) ~ data.matrix(mite.env[,-2])
    + + WaterCont.poly, data=as.data.frame(cbind(mite.env,WaterCont.poly)),
    + xv='min',xvmult=40)
    X-Val rep : 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
    Minimum tree sizes
    tabmins
     2 3 4 5 6 7 8 10
     1 3 2 5 2 10 15 2
    >
    > # Get graphic window ready #
    > dev.new(width=10, height=7.5)
    > par(cex=0.4)
    > # Get prettier tree #
    > res<-MRT(mite.tree,10)
    > # Make prettier lables
    > LABELS<-res$mat_labels
    > LABELS[1,2]<-'Water.p1>=-0.02159'
    > LABELS[1,3]<-'Water.p1< -0.02159'
    >
    > LABELS[2,2]<-'SubsDens>=51.8'
    > LABELS[2,3]<-'SubsDens<51.8'
    >
    > LABELS[3,2]<-'Water.p1>=-0.07365'
    > LABELS[3,3]<-'Water.p1< -0.07365'
    >
    > LABELS[4,2]<-'SubsDens < 36.38'
    > LABELS[4,3]<-'SubsDens >=36.38'
    >
    > LABELS[5,2]<-'Topo< 1.5'
    > LABELS[5,3]<-'Topo>= 1.5'
    >
    > LABELS[6,2]<-'Shrub< 1.5'
    > LABELS[6,3]<-'Shrub>= 1.5'
    >
    > MRT.mite.tree<-MRT(mite.tree,10,LABELS=LABELS)
    Warning in if (LABELS == FALSE) mat_labels_NOTINORDER <- mat_labels_fct(obj) :
     the condition has length > 1 and only the first element will be used
    Warning in if (!LABELS == FALSE) mat_labels_NOTINORDER <- LABELS :
     the condition has length > 1 and only the first element will be used
    > summary(MRT.mite.tree)
    Warning in if (object$LABELS == FALSE) mat_labels <- mat_labels_fct(object$obj) :
     the condition has length > 1 and only the first element will be used
    Warning in if (!object$LABELS == FALSE) mat_labels <- object$LABELS :
     the condition has length > 1 and only the first element will be used
    Portion (%) of deviance explained by species for every particular node
    
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     --- Node 1 ---
     Complexity(R2) 25.16919
     Water.p1>=-0.02159 Water.p1< -0.02159
    
    ~ Discriminant species :
     TVEL LCIL LRUG
    % of expl. deviance 15.17529133 31.1728070 11.966451
    Mean on the left 0.06859855 0.5219602 0.331423
    Mean on the right 0.31387944 0.1704134 0.113613
    
     *** caught segfault ***
    address 0, cause 'memory not mapped'
    
    Traceback:
     1: .Fortran("duleg", as.double(as.matrix(x)), as.integer(numplt), as.integer(numspc), as.integer(factor(clustering)), as.integer(table(clustering)), as.integer(numcls), as.integer(numitr), relfrq = relfrq, relabu = relabu, indval = indval, pval = pval, indcls = indcls, maxcls = as.integer(maxcls), as.double(tmpfrq), as.double(tmpabu), as.integer(pclass), as.integer(tclass), errcod = as.integer(errcod), PACKAGE = "labdsv")
     2: indval.default(Ynode, clustering = clustnode, numitr = 1000)
     3: indval(Ynode, clustering = clustnode, numitr = 1000)
     4: summary.MRT(MRT.mite.tree)
     5: summary(MRT.mite.tree)
    aborting ...
Flavor: r-patched-solaris-sparc

Version: 0.1-9.2
Check: whether package can be installed
Result: ERROR
    Installation failed.
Flavor: r-release-osx-x86_64-snowleopard