corrCompare: corrCompare

In TaylorAndrew/atAnalyze: Methods for Iterative Analytical Reporting

Description

corrCompare computes a correlation table for each level of a binary grouping variable separately, and then tests differences in correlation coefficients between grouping variables

Usage

corrCompare(data = NULL, group = NULL, method = "pearson", rdec = 3,
  pdec = 3, tdec = 3)

Arguments

data	data.frame containing 1 grouping variable and all variables to be used to compute a correlation table
group	variable name of the grouping variable
method	correlation method: pearson or spearman
rdec	number of decimals for correlation coefficients
pdec	number of decimals for p-values
tdec	number of decimals for t-values

Value

A data.frame containing group level correlation coefficients as well as relevant tests between groups.

Examples

#dat<-data.frame(g<-rep(c(1,2),50),
#                v2<-rnorm(100,5,1),
#                v1<-rnorm(100,2,1),
#                v3<-rnorm(100,499,12))
#names(dat) <- c("g","v1","v2","v3")
#jf <- corrCompare(data=dat, group="g")
#View(jf)

TaylorAndrew/atAnalyze documentation built on May 9, 2019, 4:21 p.m.