Build/check report for BioC 3.23 - BUILD results for MiRaGE on nebbiolo1

Hostname	OS	Arch (*)	R version	Installed pkgs
nebbiolo1	Linux (Ubuntu 24.04.3 LTS)	x86_64	R Under development (unstable) (2025-10-20 r88955) -- "Unsuffered Consequences"	4774
Click on any hostname to see more info about the system (e.g. compilers) () as reported by 'uname -p', except on Windows and Mac OS X*
BUILD results for MiRaGE on nebbiolo1

To the developers/maintainers of the MiRaGE package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/MiRaGE.git to reflect on this report. See Troubleshooting Build Report for more information.
- Use the following Renviron settings to reproduce errors and warnings.
- If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information.
raw results
Summary

Package: MiRaGE
Version: 1.53.0
Command: /home/biocbuild/bbs-3.23-bioc/R/bin/R CMD build --keep-empty-dirs --no-resave-data MiRaGE
StartedAt: 2025-10-31 18:50:47 -0400 (Fri, 31 Oct 2025)
EndedAt: 2025-10-31 18:51:10 -0400 (Fri, 31 Oct 2025)
EllapsedTime: 23.0 seconds
RetCode: 1
Status: ERROR
PackageFile: None
PackageFileSize: NA
Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.23-bioc/R/bin/R CMD build --keep-empty-dirs --no-resave-data MiRaGE
###
##############################################################################
##############################################################################


* checking for file ‘MiRaGE/DESCRIPTION’ ... OK
* preparing ‘MiRaGE’:
* checking DESCRIPTION meta-information ... OK
* installing the package (it is needed to build vignettes)
* creating vignettes ... ERROR
--- re-building ‘MiRaGE.Rnw’ using Sweave
Loading required package: Biobase
Loading required package: BiocGenerics
Loading required package: generics

Attaching package: ‘generics’

The following objects are masked from ‘package:base’:

    as.difftime, as.factor, as.ordered, intersect, is.element, setdiff,
    setequal, union


Attaching package: ‘BiocGenerics’

The following objects are masked from ‘package:stats’:

    IQR, mad, sd, var, xtabs

The following objects are masked from ‘package:base’:

    Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, is.unsorted, lapply,
    mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int,
    rank, rbind, rownames, sapply, saveRDS, table, tapply, unique,
    unsplit, which.max, which.min

Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "greater") :
  p-value will be approximate in the presence of ties
Warning in ks.test.default(x1, x2, alternative = "less") :
  p-value will be approximate in the presence of ties
Loading required package: humanStemCell
Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE,  :
  there is no package called ‘humanStemCell’
Warning in data(fhesc) : data set ‘fhesc’ not found

Error: processing vignette 'MiRaGE.Rnw' failed with diagnostics:
 chunk 8 
Error : object 'fhesc' not found

--- failed re-building ‘MiRaGE.Rnw’

SUMMARY: processing the following file failed:
  ‘MiRaGE.Rnw’

Error: Vignette re-building failed.
Execution halted