feature_selection {IrisSpatialFeatures} | R Documentation |
Function to extract all numeric features
feature_selection(dat, lab)
dat |
A data matrix with features as rows and samples as columns |
lab |
Label annotation that contains 2 classes, which corresponds to the samples in the column |
t-test and wilcox test btween the 2 classes
dat <- cbind(matrix(runif(400),ncol=10),matrix(runif(400)+0.2,ncol=10)) lab <- c(rep('classA',10),rep('classB',10)) rownames(dat) <- paste0('F',1:nrow(dat)) feature_selection(dat,lab)