CRAN Package Check Results for Package iRF

Last updated on 2022-02-02 09:49:38 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.0.0 44.16 116.10 160.26 ERROR
r-devel-linux-x86_64-debian-gcc 2.0.0 31.04 86.39 117.43 ERROR
r-devel-linux-x86_64-fedora-clang 2.0.0 209.53 ERROR
r-devel-linux-x86_64-fedora-gcc 2.0.0 183.18 ERROR
r-devel-windows-x86_64-new-UL 2.0.0 64.00 157.00 221.00 ERROR
r-devel-windows-x86_64-new-TK 2.0.0 ERROR
r-patched-linux-x86_64 2.0.0 35.64 112.47 148.11 OK
r-release-linux-x86_64 2.0.0 36.04 111.71 147.75 OK
r-release-macos-arm64 2.0.0 OK
r-release-macos-x86_64 2.0.0 OK
r-release-windows-ix86+x86_64 2.0.0 104.00 194.00 298.00 ERROR
r-oldrel-macos-x86_64 2.0.0 OK
r-oldrel-windows-ix86+x86_64 2.0.0 103.00 187.00 290.00 ERROR

Check Details

Version: 2.0.0
Check: examples
Result: ERROR
    Running examples in 'iRF-Ex.R' failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: na.roughfix
    > ### Title: Rough Imputation of Missing Values
    > ### Aliases: na.roughfix na.roughfix.default na.roughfix.data.frame
    > ### Keywords: NA
    >
    > ### ** Examples
    >
    > data(iris)
    > iris.na <- iris
    > set.seed(111)
    > ## artificially drop some data values.
    > for (i in 1:4) iris.na[sample(150, sample(20)), i] <- NA
    Error in sample.int(x, size, replace, prob) : invalid 'size' argument
    Calls: [<- -> [<-.data.frame -> sample -> sample.int
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 2.0.0
Check: examples
Result: ERROR
    Running examples in ‘iRF-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: na.roughfix
    > ### Title: Rough Imputation of Missing Values
    > ### Aliases: na.roughfix na.roughfix.default na.roughfix.data.frame
    > ### Keywords: NA
    >
    > ### ** Examples
    >
    > data(iris)
    > iris.na <- iris
    > set.seed(111)
    > ## artificially drop some data values.
    > for (i in 1:4) iris.na[sample(150, sample(20)), i] <- NA
    Error in sample.int(x, size, replace, prob) : invalid 'size' argument
    Calls: [<- -> [<-.data.frame -> sample -> sample.int
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64-new-UL, r-devel-windows-x86_64-new-TK

Version: 2.0.0
Check: running examples for arch ‘i386’
Result: ERROR
    Running examples in 'iRF-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: readForest
    > ### Title: Pass data through a fitted forest, record node characteristics
    > ### [works for binary classification with continuous variables]
    > ### Aliases: readForest
    >
    > ### ** Examples
    >
    > n = 50; p = 10
    > X = array(rnorm(n*p), c(n, p))
    > Y = (X[,1]>0.35 & X[,2]>0.35)|(X[,5]>0.35 & X[,7]>0.35)
    > Y = as.factor(as.numeric(Y>0))
    >
    > train.id = 1:(n/2)
    > test.id = setdiff(1:n, train.id)
    >
    > rf <- randomForest(x=X, y=Y, keep.forest=TRUE, track.nodes=TRUE,
    + ntree=100)
    > rforest <- readForest(rfobj=rf, x=X, n.core=2)
    > head(rforest$tree_info)
    NULL
    >
    > # count number of leaf nodes with at least 5 observations
    > sum(rforest$tree.info$size.node > 5)
    [1] 284
    >
    >
    >
    >
    > cleanEx()
    Error: connections left open:
     <-CRANwin.fb05.statistik.uni-dortmund.de:11371 (sockconn)
     <-CRANwin.fb05.statistik.uni-dortmund.de:11371 (sockconn)
    Execution halted
Flavor: r-release-windows-ix86+x86_64

Version: 2.0.0
Check: running examples for arch ‘x64’
Result: ERROR
    Running examples in 'iRF-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: readForest
    > ### Title: Pass data through a fitted forest, record node characteristics
    > ### [works for binary classification with continuous variables]
    > ### Aliases: readForest
    >
    > ### ** Examples
    >
    > n = 50; p = 10
    > X = array(rnorm(n*p), c(n, p))
    > Y = (X[,1]>0.35 & X[,2]>0.35)|(X[,5]>0.35 & X[,7]>0.35)
    > Y = as.factor(as.numeric(Y>0))
    >
    > train.id = 1:(n/2)
    > test.id = setdiff(1:n, train.id)
    >
    > rf <- randomForest(x=X, y=Y, keep.forest=TRUE, track.nodes=TRUE,
    + ntree=100)
    > rforest <- readForest(rfobj=rf, x=X, n.core=2)
    > head(rforest$tree_info)
    NULL
    >
    > # count number of leaf nodes with at least 5 observations
    > sum(rforest$tree.info$size.node > 5)
    [1] 284
    >
    >
    >
    >
    > cleanEx()
    Error: connections left open:
     <-CRANwin.fb05.statistik.uni-dortmund.de:11751 (sockconn)
     <-CRANwin.fb05.statistik.uni-dortmund.de:11751 (sockconn)
    Execution halted
Flavor: r-release-windows-ix86+x86_64

Version: 2.0.0
Check: running examples for arch ‘i386’
Result: ERROR
    Running examples in 'iRF-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: readForest
    > ### Title: Pass data through a fitted forest, record node characteristics
    > ### [works for binary classification with continuous variables]
    > ### Aliases: readForest
    >
    > ### ** Examples
    >
    > n = 50; p = 10
    > X = array(rnorm(n*p), c(n, p))
    > Y = (X[,1]>0.35 & X[,2]>0.35)|(X[,5]>0.35 & X[,7]>0.35)
    > Y = as.factor(as.numeric(Y>0))
    >
    > train.id = 1:(n/2)
    > test.id = setdiff(1:n, train.id)
    >
    > rf <- randomForest(x=X, y=Y, keep.forest=TRUE, track.nodes=TRUE,
    + ntree=100)
    > rforest <- readForest(rfobj=rf, x=X, n.core=2)
    > head(rforest$tree_info)
    NULL
    >
    > # count number of leaf nodes with at least 5 observations
    > sum(rforest$tree.info$size.node > 5)
    [1] 284
    >
    >
    >
    >
    > cleanEx()
    Error: connections left open:
     <-CRANwin.fb05.statistik.uni-dortmund.de:11267 (sockconn)
     <-CRANwin.fb05.statistik.uni-dortmund.de:11267 (sockconn)
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 2.0.0
Check: running examples for arch ‘x64’
Result: ERROR
    Running examples in 'iRF-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: readForest
    > ### Title: Pass data through a fitted forest, record node characteristics
    > ### [works for binary classification with continuous variables]
    > ### Aliases: readForest
    >
    > ### ** Examples
    >
    > n = 50; p = 10
    > X = array(rnorm(n*p), c(n, p))
    > Y = (X[,1]>0.35 & X[,2]>0.35)|(X[,5]>0.35 & X[,7]>0.35)
    > Y = as.factor(as.numeric(Y>0))
    >
    > train.id = 1:(n/2)
    > test.id = setdiff(1:n, train.id)
    >
    > rf <- randomForest(x=X, y=Y, keep.forest=TRUE, track.nodes=TRUE,
    + ntree=100)
    > rforest <- readForest(rfobj=rf, x=X, n.core=2)
    > head(rforest$tree_info)
    NULL
    >
    > # count number of leaf nodes with at least 5 observations
    > sum(rforest$tree.info$size.node > 5)
    [1] 284
    >
    >
    >
    >
    > cleanEx()
    Error: connections left open:
     <-CRANwin.fb05.statistik.uni-dortmund.de:11621 (sockconn)
     <-CRANwin.fb05.statistik.uni-dortmund.de:11621 (sockconn)
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64