R: Compute Pearson or Spearman Correlations with p-Values

rcorr.adjust {Rcmdr}

R Documentation

Compute Pearson or Spearman Correlations with p-Values

Description

This function uses the rcorr function in the Hmisc package to compute matrices of Pearson or Spearman correlations along with the pairwise p-values among the correlations. The p-values are corrected for multiple inference using Holm's method (see p.adjust). Observations are filtered for missing data, and only complete observations are used.

Usage

rcorr.adjust(x, type = c("pearson", "spearman"), 
	use=c("complete.obs", "pairwise.complete.obs"))

## S3 method for class 'rcorr.adjust'
print(x, ...)

Arguments

`x`	a numeric matrix or data frame, or an object of class `"rcorr.adjust"` to be printed.
`type`	`"pearson"` or `"spearman"`, depending upon the type of correlations desired; the default is `"pearson"`.
`use`	how to handle missing data: `"complete.obs"`, the default, use only complete cases; `"pairwise.complete.obs"`, use all cases with valid data for each pair.
`...`	not used.

Value

Returns an object of class "rcorr.adjust", which is normally just printed.

Author(s)

John Fox, adapting code from Robert A. Muenchen.

Examples

	## Not run: 
require(car)
rcorr.adjust(Mroz[,c("k5", "k618", "age", "lwg", "inc")])
rcorr.adjust(Mroz[,c("k5", "k618", "age", "lwg", "inc")], type="spearman")
	
## End(Not run)

[Package Rcmdr version 1.8-4 Index]