tomsing1

library(ggplot2)
library(scales)

# set up an example dataset (see ?lmFit)
sd <- 0.3*sqrt(4/rchisq(100,df=4))
y <- matrix(rnorm(100*6,sd=sd),100,6)
rownames(y) <- paste("Gene",1:100)
y[1:2,4:6] <- y[1:2,4:6] + 2
design <- cbind(Grp1=1,Grp2vs1=c(0,0,0,1,1,1))
options(digits=3)

adefelicibus

Download Miniconda

• Python 2.7

  # 32 bits
  $ wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86.sh
  # 64 bits
  $ wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh