Last updated on 2019-04-13 01:58:08 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.0.1 | 18.44 | 196.79 | 215.23 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 1.0.1 | 16.21 | 154.12 | 170.33 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.0.1 | 258.42 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 1.0.1 | 246.63 | ERROR | |||
| r-devel-windows-ix86+x86_64 | 1.0.1 | 49.00 | 287.00 | 336.00 | ERROR | |
| r-patched-linux-x86_64 | 1.0.1 | 17.13 | 192.48 | 209.61 | ERROR | |
| r-patched-solaris-x86 | 1.0.1 | 401.80 | ERROR | |||
| r-release-linux-x86_64 | 1.0.1 | 12.51 | 188.72 | 201.23 | OK | |
| r-release-windows-ix86+x86_64 | 1.0.1 | 32.00 | 203.00 | 235.00 | OK | |
| r-release-osx-x86_64 | 1.0.1 | OK | ||||
| r-oldrel-windows-ix86+x86_64 | 1.0.1 | 20.00 | 244.00 | 264.00 | OK | |
| r-oldrel-osx-x86_64 | 1.0.1 | OK |
Version: 1.0.1
Check: examples
Result: ERROR
Running examples in 'liayson-Ex.R' failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: clusterCells
> ### Title: Grouping cells into clones.
> ### Aliases: clusterCells
>
> ### ** Examples
>
> data(cnps)
> set.seed(2)
> rcells = sample(colnames(cnps), 120)
> outc = clusterCells(cnps[apply(cnps, 1, var)>0, rcells])
[1] "Neither k nor h is set."
[1] "Using Akaike information criterion to decide number of clusters..."
Error in kmeans(t(cnps), centers = x) :
more cluster centers than distinct data points.
Calls: clusterCells ... sapply -> lapply -> FUN -> .kmeansAIC -> ncol -> kmeans
Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64
Version: 1.0.1
Check: examples
Result: ERROR
Running examples in ‘liayson-Ex.R’ failed
The error most likely occurred in:
> ### Name: clusterCells
> ### Title: Grouping cells into clones.
> ### Aliases: clusterCells
>
> ### ** Examples
>
> data(cnps)
> set.seed(2)
> rcells = sample(colnames(cnps), 120)
> outc = clusterCells(cnps[apply(cnps, 1, var)>0, rcells])
[1] "Neither k nor h is set."
[1] "Using Akaike information criterion to decide number of clusters..."
Error in kmeans(t(cnps), centers = x) :
more cluster centers than distinct data points.
Calls: clusterCells ... sapply -> lapply -> FUN -> .kmeansAIC -> ncol -> kmeans
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-patched-solaris-x86