FactorLevCorr: Factor level correlation

Description Usage Arguments Value Examples

View source: R/forEasySdcTable.R

Description

A sort of correlation matrix useful to detect (hierarchical) relationships between the levels of factor variables.

Usage

1

Arguments

x

Input matrix or data frame containing the variables

Value

Output is a sort of correlation matrix.

Here we refer to ni as the number of present levels of variable i (the number of unique elements) and we refer to nij as the number of present levels obtained by crossing variable i and variable j (the number unique rows of x[,c(i,j)]).

The diagonal elements of the output matrix contains the number of present levels of each variable (=ni).

The absolute values of off-diagonal elements:

0

when nij = ni*nj

1

when nij = max(ni,nj)

Other values

Computed as (ni*nj-nij)/(ni*nj-max(ni,nj))

So 0 means that all possible level combinations exist in the data and 1 means that the two variables are hierarchically related.

The sign of off-diagonal elements:

positive

when ni<nj

negative

when ni>nj

In cases where ni=nj elements will be positive above the diagonal and negative below.

Examples

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 x <- rep(c("A","B","C"),3)
 y <- rep(c(11,22,11),3)
 z <- c(1,1,1,2,2,2,3,3,3)
 zy <- paste(z,y,sep="")
 m <- cbind(x,y,z,zy)
 FactorLevCorr(m)

SSBtools documentation built on Aug. 22, 2018, 5:05 p.m.