delaneau.score: Score impact of each sample on correlation sturucture

In GabrielHoffman/decorate: Differential Epigenetic Coregulation Test

Score impact of each sample on correlation sturucture

Description

Score impact of each sample on correlation sturucture. Compute correlation using all samples (i.e. C), then compute correlation omitting sample i (i.e. Ci). The score the sample i is based on the difference between C and Ci.

Usage

delaneau.score(Y, method = c("pearson", "kendall", "spearman"))

Arguments

Y	data matrix with samples on rows and variables on columns
method	specify which correlation method: "pearson", "kendall" or "spearman"

Value

score for each sample measure impact on correlation structure

See Also

delaneau.test

Examples

# load iris data
data(iris)

# Evalaute score on each sample
delaneau.score( iris[,1:4] )

GabrielHoffman/decorate documentation built on May 23, 2023, 1:29 a.m.