row.spearman: Compute Spearmans rank-based correlation of many variables...
In HybridMTest: Hybrid Multiple Testing

Description Usage Arguments Value Author(s) References Examples

For each row of the data matrix Y, compute its Spearman correlation with x.

1	row.spearman(Y, x)

`Y`	a data matrix with rows for variables and columns for subjects
`x`	a vector of the variable to be associated with each row of Y

A data.frame with three components:

`stat`	a vector with the Spearman correlation for each row of Y
`pval`	a vector with the p-value for each row of Y
`ebp`	a vector with the estimated empirical Bayes probability of zero correlation for each row of Y

Stan Pounds <stanley.pounds@stjude.org>; Demba Fofana <demba.fofana@stjude.org>

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

  
####################Correlation Study#####################
# load data
data(correlation.data)
# Read the expression values  
Y<-exprs(correlation.data)
# Read the phenotype
x<-pData(correlation.data)
x[,1]
#Spearman Test
row.spearman(Y,x[,1])