Last updated on 2022-04-24 03:53:05 CEST.
Package | ERROR | OK |
---|---|---|
mbclusterwise | 2 | 10 |
Current CRAN status: ERROR: 2, OK: 10
Version: 1.0
Check: examples
Result: ERROR
Running examples in ‘mbclusterwise-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: cw.tenfold
> ### Title: F-Fold cross-validation for clusterwise multiblock analyses
> ### Aliases: cw.tenfold
> ### Keywords: multivariate cluster
>
> ### ** Examples
>
> data(simdata.red)
> Data.X <- simdata.red[c(1:8, 21:28), 1:10]
> Data.Y <- simdata.red[c(1:8, 21:28), 11:13]
> res1 <- list()
> res2 <- list()
>
> ## Note that the options (INIT=2) and (parallel.level = "low") are chosen to quickly
> ## illustrate the function.
> ## For real data, instead choose (INIT=20) to avoid local optima and (parallel.level = "high")
> ## to improve the computing speed.
>
> for (H in c(1:2)){
+ print(paste("H=", H, sep=""))
+ res1[[H]] <- cw.tenfold(Y = Data.Y, X = Data.X, blo = c(5, 5), option = "none", G = 1, H,
+ FOLD = 2, INIT = 2, method = "mbpls", Gamma = NULL, parallel.level = "low")
+ res2[[H]] <- cw.tenfold(Y = Data.Y, X = Data.X, blo = c(5, 5), option = "none", G = 2, H,
+ FOLD = 2, INIT = 2, method = "mbpls", Gamma = NULL, parallel.level = "low")
+ }
[1] "H=1"
[1] "Fold 1"
Warning in res$lX[, h]/sqrt(t(res$lX[, h]) %*% res$lX[, h]) :
Recycling array of length 1 in vector-array arithmetic is deprecated.
Use c() or as.vector() instead.
[1] "Fold 2"
Warning in res$lX[, h]/sqrt(t(res$lX[, h]) %*% res$lX[, h]) :
Recycling array of length 1 in vector-array arithmetic is deprecated.
Use c() or as.vector() instead.
[1] "Fold 1"
Warning in e$fun(obj, substitute(ex), parent.frame(), e$data) :
already exporting variable(s): mbreg
Warning in res$lX[, h]/sqrt(t(res$lX[, h]) %*% res$lX[, h]) :
Recycling array of length 1 in vector-array arithmetic is deprecated.
Use c() or as.vector() instead.
Warning in res$lX[, h]/sqrt(t(res$lX[, h]) %*% res$lX[, h]) :
Recycling array of length 1 in vector-array arithmetic is deprecated.
Use c() or as.vector() instead.
[1] "Fold 2"
Warning in e$fun(obj, substitute(ex), parent.frame(), e$data) :
already exporting variable(s): mbreg
Error in { : task 1 failed - "0 x 0 matrix"
Calls: cw.tenfold -> cw.multiblock -> %dopar% -> <Anonymous>
Execution halted
Flavor: r-release-linux-x86_64
Version: 1.0
Check: examples
Result: ERROR
Running examples in 'mbclusterwise-Ex.R' failed
The error most likely occurred in:
> ### Name: cw.tenfold
> ### Title: F-Fold cross-validation for clusterwise multiblock analyses
> ### Aliases: cw.tenfold
> ### Keywords: multivariate cluster
>
> ### ** Examples
>
> data(simdata.red)
> Data.X <- simdata.red[c(1:8, 21:28), 1:10]
> Data.Y <- simdata.red[c(1:8, 21:28), 11:13]
> res1 <- list()
> res2 <- list()
>
> ## Note that the options (INIT=2) and (parallel.level = "low") are chosen to quickly
> ## illustrate the function.
> ## For real data, instead choose (INIT=20) to avoid local optima and (parallel.level = "high")
> ## to improve the computing speed.
>
> for (H in c(1:2)){
+ print(paste("H=", H, sep=""))
+ res1[[H]] <- cw.tenfold(Y = Data.Y, X = Data.X, blo = c(5, 5), option = "none", G = 1, H,
+ FOLD = 2, INIT = 2, method = "mbpls", Gamma = NULL, parallel.level = "low")
+ res2[[H]] <- cw.tenfold(Y = Data.Y, X = Data.X, blo = c(5, 5), option = "none", G = 2, H,
+ FOLD = 2, INIT = 2, method = "mbpls", Gamma = NULL, parallel.level = "low")
+ }
[1] "H=1"
[1] "Fold 1"
Warning in res$lX[, h]/sqrt(t(res$lX[, h]) %*% res$lX[, h]) :
Recycling array of length 1 in vector-array arithmetic is deprecated.
Use c() or as.vector() instead.
[1] "Fold 2"
Warning in res$lX[, h]/sqrt(t(res$lX[, h]) %*% res$lX[, h]) :
Recycling array of length 1 in vector-array arithmetic is deprecated.
Use c() or as.vector() instead.
[1] "Fold 1"
Warning in e$fun(obj, substitute(ex), parent.frame(), e$data) :
already exporting variable(s): mbreg
Error in { : task 2 failed - "0 x 0 matrix"
Calls: cw.tenfold -> cw.multiblock -> %dopar% -> <Anonymous>
Execution halted
Flavor: r-release-windows-x86_64