CRAN Package Check Results for Package rMisbeta

Last updated on 2023-09-26 14:05:07 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0 2.26 34.46 36.72 ERROR
r-devel-linux-x86_64-debian-gcc 1.0 2.15 26.46 28.61 ERROR
r-devel-linux-x86_64-fedora-clang 1.0 46.73 ERROR
r-devel-linux-x86_64-fedora-gcc 1.0 48.07 ERROR
r-devel-windows-x86_64 1.0 4.00 51.00 55.00 ERROR
r-patched-linux-x86_64 1.0 2.59 48.39 50.98 OK
r-release-linux-x86_64 1.0 2.95 46.72 49.67 OK
r-release-macos-arm64 1.0 22.00 OK
r-release-macos-x86_64 1.0 64.00 OK
r-release-windows-x86_64 1.0 5.00 64.00 69.00 OK
r-oldrel-macos-arm64 1.0 21.00 OK
r-oldrel-macos-x86_64 1.0 30.00 OK
r-oldrel-windows-x86_64 1.0 5.00 70.00 75.00 OK

Check Details

Version: 1.0
Check: examples
Result: ERROR
    Running examples in ‘rMisbeta-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: performance.eval
    > ### Title: This function estimates the different performance indices like,
    > ### TPR,TNR,FPR,FNR,AUC etc. for number of top genes
    > ### Aliases: performance.eval
    >
    > ### ** Examples
    >
    > # Performance evaluation in presence of outliers and missing values
    > nG=1000
    > n1=n2=5
    > pde=0.1
    > Simdat=Sim2Group(nG,n1,n2,var0=0.1,pde=0.1)
    > xx=Simdat$outmat
    > TrueDE=Simdat$DEtrue
    > MisOutdat<-OutMisDat(xx,pctOut=0.1,pctMis=0.1)
    > misdat_zero<-MisOutdat
    > misdat_zero[is.na(misdat_zero)]<-0
    > cl=rep(c(1,2),each=n1)
    >
    > res=remat(MisOutdat,cl)
    > up_mat<-res$remat
    >
    >
    > pTtest_zero<-pTtest_beta<-NULL
    > for (j1 in 1:dim(xx)[1])
    + {
    + DataYY <- data.frame(YY =misdat_zero[j1,], FactorLevels = factor(cl))
    + DataYY2 <- data.frame(YY2=up_mat[j1,], FactorLevels2 = factor(cl))
    + pTtest_zero[j1] <- t.test(YY~FactorLevels,data=DataYY, paired=FALSE)[[3]]
    + pTtest_beta[j1] <- t.test(YY2~FactorLevels2,data=DataYY2, paired=FALSE)[[3]]
    + }
    Error in t.test.formula(YY ~ FactorLevels, data = DataYY, paired = FALSE) :
     cannot use 'paired' in formula method
    Calls: t.test -> t.test.formula
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 1.0
Check: examples
Result: ERROR
    Running examples in ‘rMisbeta-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: performance.eval
    > ### Title: This function estimates the different performance indices like,
    > ### TPR,TNR,FPR,FNR,AUC etc. for number of top genes
    > ### Aliases: performance.eval
    >
    > ### ** Examples
    >
    > # Performance evaluation in presence of outliers and missing values
    > nG=1000
    > n1=n2=5
    > pde=0.1
    > Simdat=Sim2Group(nG,n1,n2,var0=0.1,pde=0.1)
    > xx=Simdat$outmat
    > TrueDE=Simdat$DEtrue
    > MisOutdat<-OutMisDat(xx,pctOut=0.1,pctMis=0.1)
    > misdat_zero<-MisOutdat
    > misdat_zero[is.na(misdat_zero)]<-0
    > cl=rep(c(1,2),each=n1)
    >
    > res=remat(MisOutdat,cl)
    > up_mat<-res$remat
    >
    >
    > pTtest_zero<-pTtest_beta<-NULL
    > for (j1 in 1:dim(xx)[1])
    + {
    + DataYY <- data.frame(YY =misdat_zero[j1,], FactorLevels = factor(cl))
    + DataYY2 <- data.frame(YY2=up_mat[j1,], FactorLevels2 = factor(cl))
    + pTtest_zero[j1] <- t.test(YY~FactorLevels,data=DataYY, paired=FALSE)[[3]]
    + pTtest_beta[j1] <- t.test(YY2~FactorLevels2,data=DataYY2, paired=FALSE)[[3]]
    + }
    Error in t.test.formula(YY ~ FactorLevels, data = DataYY, paired = FALSE) :
     cannot use 'paired' in formula method
    Calls: t.test -> t.test.formula
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64