pvalues {fastJT} | R Documentation |
Compute P-values Based on Jonckheere-Terpstra Test Statistics
Description
Method to compute the p-values for results from fastJT
. fastJT
must be run with standardized=TRUE
in order to use this function.
Usage
pvalues(object)
Arguments
object |
A |
Value
A matrix of p-values with the same dimensions as the standardized statistics from fastJT
.
See Also
Examples
# 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)
[Package fastJT version 1.0.6 Index]