Last updated on 2026-09-04 08:50:52 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.6 | 75.63 | 254.90 | 330.53 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.6 | 49.35 | 192.52 | 241.87 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.6 | 53.00 | 181.75 | 234.75 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 1.6 | 59.00 | 191.57 | 250.57 | OK | |
| r-devel-windows-x86_64 | 1.6 | 91.00 | 331.00 | 422.00 | ERROR | |
| r-patched-linux-x86_64 | 1.6 | 67.17 | 239.27 | 306.44 | OK | |
| r-release-linux-x86_64 | 1.6 | 66.43 | 243.33 | 309.76 | OK | |
| r-release-macos-arm64 | 1.6 | 15.00 | 64.00 | 79.00 | OK | |
| r-release-macos-x86_64 | 1.6 | 44.00 | 257.00 | 301.00 | OK | |
| r-release-windows-x86_64 | 1.6 | 83.00 | 252.00 | 335.00 | OK | |
| r-oldrel-macos-arm64 | 1.6 | 13.00 | 65.00 | 78.00 | OK | |
| r-oldrel-macos-x86_64 | 1.6 | 46.00 | 290.00 | 336.00 | OK | |
| r-oldrel-windows-x86_64 | 1.6 | 101.00 | 334.00 | 435.00 | OK |
Version: 1.6
Check: examples
Result: ERROR
Running examples in 'clusterMI-Ex.R' failed
The error most likely occurred in:
> ### Name: fastnmf
> ### Title: Consensus clustering using non-negative matrix factorization
> ### Aliases: fastnmf
>
> ### ** Examples
>
> ## Don't show:
> if (.Platform$OS.type=="windows") withAutoprint({ # examplesIf
+ ## End(Don't show)
+ data(wine, package = "clusterMI")
+ require(clustrd)
+ set.seed(123456)
+ ref <- wine$cult
+ nb.clust <- 3
+ m <- 3 # number of imputed data sets. Should be larger in practice
+ wine.na <- wine
+ wine.na$cult <- NULL
+ wine.na <- prodna(wine.na)
+
+ #imputation
+ res.imp <- imputedata(data.na = wine.na, nb.clust = nb.clust, m = m)
+
+ #analysis using reduced kmeans
+
+ ## apply the cluspca function on each imputed data set
+ res.ana.rkm <- lapply(res.imp$res.imp,
+ FUN = cluspca,
+ nclus = nb.clust,
+ ndim = 2,
+ method= "RKM")
+ ## extract the set of partitions (under "list" format)
+ res.ana.rkm <-lapply(res.ana.rkm,"[[","cluster")
+
+ # pooling by NMF
+ res.pool.rkm <- fastnmf(res.ana.rkm, nb.clust = nb.clust)
+ ## extract the partition corresponding to the best initialisation
+ part <- res.pool.rkm$best$clust
+ ## Don't show:
+ }) # examplesIf
> data(wine, package = "clusterMI")
> require(clustrd)
Loading required package: clustrd
Loading required package: ggplot2
Loading required package: grid
Error: package or namespace load failed for 'clustrd':
object 'ggcoef_multinom' is not exported by 'namespace:ggstats'
> set.seed(123456)
> ref <- wine$cult
> nb.clust <- 3
> m <- 3
> wine.na <- wine
> wine.na$cult <- NULL
> wine.na <- prodna(wine.na)
> res.imp <- imputedata(data.na = wine.na, nb.clust = nb.clust, m = m)
JM-GL
1...2...3...done!
> res.ana.rkm <- lapply(res.imp$res.imp, FUN = cluspca, nclus = nb.clust,
+ ndim = 2, method = "RKM")
Error in eval(ei, envir) : object 'cluspca' not found
Calls: withAutoprint ... source -> withVisible -> eval -> eval -> lapply -> match.fun
Execution halted
Flavor: r-devel-windows-x86_64