rowWelchP {RnBeads} | R Documentation |
performs a two-sided Welch's t-test (unequal variances, unequal sample sizes) on each row of a matrix X with the indices inds.1 vs indices inds.g2 as group assignments.
rowWelchP(X, inds.g1, inds.g2 = -inds.g1, na.rm = FALSE, alternative = "two.sided")
X |
Matrix on which the test is performed for every row |
inds.g1 |
column indices of group 1 members |
inds.g2 |
column indices of group 2 members |
na.rm |
Should NAs be removed (logical) |
alternative |
Testing alternative. Must be one of "two.sided" (default),"less","greater" or "all". in case of "all" a data frome with corresping alternative variables is returned. Otherwise the result is a vector. |
vector (or data.frame if alternative=="all") of p-values resulting from the Welch's t-test
Requires matrixStats
package
Fabian Mueller
library(RnBeads.hg19) data(small.example.object) logger.start(fname=NA) meth.mat <- meth(rnb.set.example) sample.groups <- rnb.sample.groups(rnb.set.example)[[1]] p.vals <- rowWelchP(meth.mat,sample.groups[[1]],sample.groups[[2]])