buildMACAT {macat} | R Documentation |
This is a wrapper around the preprocessedLoader function. Use it, when you want to build a MACAT-list structure from objects already in your workspace.
buildMACAT(matrix, chip, labels = NULL)
matrix |
expression matrix with rows=genes and columns=samples; Rownames have to match chip; Columnnames are not mandatory. |
chip |
Identifier for used microarray |
labels |
Classlabels for samples, has to have length=number of columns in matrix |
This is only a convenience wrapper around the function
preprocessedLoader
for the case, that you want to build
a MACAT-list from objects in your workspace.
A MACAT-list structure. For an example and a description of the format
see data stjude
in package 'stjudem'.
MACAT development team
preprocessedLoader
,stjude
in package 'stjudem'
X <- matrix(rnorm(200),nrow=20,ncol=10) rownames(X) <- c('34916_s_at','34917_at','34462_at','163_at','35219_at', '31641_s_at','33300_at','33301_g_at','38950_r_at','41249_at', '294_s_at','32004_s_at','33299_at','41243_at','33341_at','362_at', '1918_at','41499_at','41500_at','41282_s_at') colnames(X) <- paste("Sample",1:10,sep="") y <- rep(c("A","B"),c(5,5)) toy <- buildMACAT(X,"hgu95av2",y) summary(toy)