matrixPval: matrixPval
In zhushijia/GIGSEA: Genotype Imputed Gene Set Enrichment Analysis

Description Usage Arguments Value Examples

matrixPval calculates the p values for the correlation coefficients based on t-statistics

1	matrixPval(r, df)

`r`	a vector or a matrix of Pearson correlation coefficients taking values in [-1,+1]
`df`	the degree of freedom

a vector or matrix of p values taking values in [0,1]

r <- cor(USArrests)
df <- nrow(USArrests) - 2
pval1 <- matrixPval(r,df)

pval2 <- matrix(ncol=ncol(USArrests),nrow=ncol(USArrests),data=0)
for(i in 1:ncol(USArrests))
{
   for(j in 1:ncol(USArrests))
   {
     pval2[i,j] <- cor.test(USArrests[,i],USArrests[,j])$p.val
   }
}

head(pval1)
head(pval2)