pvalues {fastJT} | R Documentation |
Method to compute the p-values for results from fastJT
. fastJT
must be run with standardized=TRUE
in order to use this function.
pvalues(object)
object |
A |
A matrix of p-values with the same dimensions as the standardized statistics from fastJT
.
# Generate dummy data num_patient <- 100 num_marker <- 10 num_SNP <- 500 set.seed(12345) Mark <- matrix(rnorm(num_patient*num_marker), num_patient, num_marker) Geno <- matrix(rbinom(num_patient*num_SNP, 2, 0.5), num_patient, num_SNP) colnames(Mark) <- paste0("Mrk:",1:num_marker) colnames(Geno) <- paste0("SNP:",1:num_SNP) res <- fastJT(Y=Mark, X=Geno, outTopN=5) pvalues(res) res <- fastJT(Y=Mark, X=Geno, outTopN=NA) pvalues(res)