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"))

Arguments

x a numeric matrix or data frame
type "pearson" or "spearman", depending upon the type of correlations desired; the default is "pearson".

Value

Returns an object of class "rcorr" with an additional adj.P element.

Author(s)

John Fox, adapting code from Robert A. Muenchen.

See Also

rcorr, p.adjust.

Examples

require(car)
rcorr.adjust(Mroz[,c("k5", "k618", "age", "lwg", "inc")])
rcorr.adjust(Mroz[,c("k5", "k618", "age", "lwg", "inc")], type="spearman")

[Package Rcmdr version 1.5-3 Index]