ribiosUtils (version 1.5-6)

pQnormScore: Transform p-values to continuous scores with the quantile function of the normal distribution

Description

Quantile function, also known as the inverse of cumulative distribution function of the normal distribution, is used to map p-values to continuous scores raging on \(R\). The signs of the resulting scores are positive by default and are determined by the parameter sign.

Usage

pQnormScore(p, sign = 1)

Arguments

p

p-value(s) between \((0,1]\)

sign

Signs of the scores, either positive (in case of positive numbers), negative (in case of negative numbers), or zero. In case of a logical vector, TRUE is interpreted as positive and FALSE is interpreted as negative.

See Also

pAbsLog10Score, pScore

Examples

# NOT RUN {
testPvals <- c(0.001, 0.01, 0.05, 0.1, 0.5, 1)
pQnormScore(testPvals)
testPvalSign <- rep(c(-1,1), 3)
pQnormScore(testPvals, sign=testPvalSign)
testLog <- rep(c(TRUE, FALSE),3)
pQnormScore(testPvals, testLog)

# }