ktab.within {ade4}R Documentation

Process to go from a Within Analysis to a K-tables

Description

performs the process to go from a Within Analysis to a K-tables.

Usage

ktab.within(dudiwit, rownames = NULL, colnames = NULL, tabnames = NULL)

Arguments

dudiwit an objet of class within
rownames the row names of the K-tables (otherwise the row names of dudiwit$tab)
colnames the column names of the K-tables (otherwise the column names
of dudiwit$tab)
tabnames the names of the arrays of the K-tables (otherwise the levels of the factor which defines the within-classes)

Value

a list of class ktab. See ktab

Author(s)

Daniel Chessel
Anne B Dufour dufour@biomserv.univ-lyon1.fr

Examples

data(bacteria)
w1 <- data.frame(t(bacteria$espcodon))
dudi1 <- dudi.coa(w1, scann = FALSE, nf = 4)
wit1 <- within(dudi1, bacteria$code, scannf = FALSE)
kta1 <- ktab.within(wit1)
plot(statis(kta1, scann = FALSE))

kta2 <- kta1[kta1$blo>3]
kplot(mfa(kta2, scann = FALSE))

Worked out examples


> library(ade4)
> ### Name: ktab.within
> ### Title: Process to go from a Within Analysis to a K-tables
> ### Aliases: ktab.within
> ### Keywords: multivariate
> 
> ### ** Examples
> 
> data(bacteria)
> w1 <- data.frame(t(bacteria$espcodon))
> dudi1 <- dudi.coa(w1, scann = FALSE, nf = 4)
> wit1 <- within(dudi1, bacteria$code, scannf = FALSE)
> kta1 <- ktab.within(wit1)
> plot(statis(kta1, scann = FALSE))

> 
> kta2 <- kta1[kta1$blo>3]
> kplot(mfa(kta2, scann = FALSE))

> 
> 
> 
>
[Package ade4 Index]