Description Usage Arguments Value See Also Examples
Method to compute the p-values for results from fastJT
. fastJT
must be run with standardized=TRUE
in order to use this function.
1 | pvalues(object)
|
object |
A |
A matrix of p-values with the same dimensions as the standardized statistics from fastJT
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | # 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)
|
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