scat.cr: "Correlation" of variables to axes in MCA or mix analyses

In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

"Correlation" of variables to axes in MCA or mix analyses

Description

Represents the "correlation" of variables to axes in a MCA (from dudi.acm) or a mix analysis (from dudi.hillsmith or dudi.mix).

Usage

scat.cr(dudi.obj, axis = 1)

Arguments

dudi.obj	object obtained from dudi.acm, dudi.hillsmith or dudi.mix.
axis	axis to be represented (the first by default).

Details

For quantitative variables, the squared correlation coefficient is displayed. For ordered factors, the squared multiple correlation coefficient is displayed. For unordered factors, the correlation ratio is displayed.

Author(s)

Maxime HERVE <[e-mail]>, based on an idea of Stephane Champely.

See Also

dudi.acm, dudi.hillsmith, dudi.mix

Examples

require(ade4)

# Fictive dataset
age <- sample(15:60,50,replace=TRUE)
sex <- sample(c("M","F"),50,replace=TRUE)
size <- sample(155:190,50,replace=TRUE)
hair <- sample(c("Fair","Dark","Russet"),50,replace=TRUE)
eyes <- sample(c("Blue","Green","Brown"),50,replace=TRUE)
weight <- sample(50:85,50,replace=TRUE)
hand <- sample(c("Left.handed","Right.handed"),50,replace=TRUE)
tab <- data.frame(age,sex,size,weight,hand,eyes,hair,stringsAsFactors=TRUE)

amix <- dudi.hillsmith(tab,scannf=FALSE,nf=2)
scat.cr(amix)

RVAideMemoire documentation built on Nov. 6, 2023, 5:07 p.m.