spearman.rstat: Function to Calculate Spearman Correlation Statistics

In PROMISE: PRojection Onto the Most Interesting Statistical Evidence

Description

A function to calculate Spearman rank correlation of each gene in an array data with a continuous variable

Usage

spearman.rstat(Y, x, strat = NULL)

Arguments

Y	a numeric data frame. Each row gives values of one genomic variable.
x	a vector of continuous variable.
strat	a vector of stratum to calculate stratified correlation statistics, default = NULL.

Value

Return a vector of Spearman rank correlation statistics.

Author(s)

Stan Pounds [e-mail]; Xueyuan Cao [e-mail]

References

Spearman C. (1904) The proof and measurement of association between two things. Amer. J. Psychol. 15: 72-101

See Also

PROMISE

Examples

## load sampExprSet.
data(sampExprSet)

## extract expression matrix from sampExprSet
Y <- exprs(sampExprSet)

## extract end point data from sampExprSet
x <- pData(phenoData(sampExprSet))$drugLevel
strat <- pData(phenoData(sampExprSet))$strat

## Calculte Spearman correlation statistics
test <- spearman.rstat(Y, x, strat = strat)

PROMISE documentation built on Nov. 8, 2020, 5:15 p.m.