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###
### Running command:
###
###   /home/biocbuild/R/R/bin/R CMD build --keep-empty-dirs --no-resave-data MiRaGE
###
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* checking for file ‘MiRaGE/DESCRIPTION’ ... OK
* preparing ‘MiRaGE’:
* checking DESCRIPTION meta-information ... OK
* installing the package to build vignettes
* creating vignettes ... ERROR
--- re-building ‘MiRaGE.Rnw’ using Sweave
Loading required package: Biobase
Loading required package: BiocGenerics

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, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, table, tapply,
    union, 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
Loading required package: hgu133plus2.db
Loading required package: AnnotationDbi
Loading required package: stats4
Loading required package: IRanges
Loading required package: S4Vectors

Attaching package: ‘S4Vectors’

The following object is masked from ‘package:utils’:

    findMatches

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

    I, expand.grid, unname

Loading required package: org.Hs.eg.db


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: beadarrayExampleData
Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE,  :
  there is no package called ‘beadarrayExampleData’
Warning in data(exampleBLData) : data set ‘exampleBLData’ not found
Warning in data(exampleSummaryData) :
  data set ‘exampleSummaryData’ not found

Error: processing vignette 'MiRaGE.Rnw' failed with diagnostics:
 chunk 12 
Error in eval(expr, .GlobalEnv) : object 'exampleSummaryData' not found

--- failed re-building ‘MiRaGE.Rnw’

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

Error: Vignette re-building failed.
Execution halted