dsparks

# Randomly allocating observations into groups, for, e.g. cross-validation
kk <- 10  # Number of partitions, as in "kk-fold cross-validation."

# Here is a data.frame full of good data:
nn <- 1003
myData <- data.frame(matrix(rnorm(nn * 3), ncol = 3))
colnames(myData) <- LETTERS[1:3]

# This does not work:
whichK <- sample(LETTERS[1:kk], nrow(myData), replace = T)

taoliu

#!/bin/bash

# check commands: slopBed, bedGraphToBigWig and bedClip

which bedtools &>/dev/null || { echo "bedtools not found! Download bedTools: <http://code.google.com/p/bedtools/>"; exit 1; }
which bedGraphToBigWig &>/dev/null || { echo "bedGraphToBigWig not found! Download: <http://hgdownload.cse.ucsc.edu/admin/exe/>"; exit 1; }
which bedClip &>/dev/null || { echo "bedClip not found! Download: <http://hgdownload.cse.ucsc.edu/admin/exe/>"; exit 1; }

# end of checking