assoc.domains: Association measures between domains in multidimensional...

In nicolas-robette/seqhandbook: Miscellaneous Tools for Sequence Analysis

Association measures between domains in multidimensional sequence analysis

Description

Computes various measures of association between dimensions of multidimensional sequence data.

Usage

assoc.domains(dlist, names, djsa)

Arguments

dlist	A list of dissimilarity matrices or dist objects (see dist), with one element per dimension of the multidimensional sequence data
names	A character vector of the names of the dimensions of the multidimensional sequence data
djsa	A dissimilarity matrix or a dist object (see dist), corresponding to the distances between the multimdimensional sequences

Author(s)

Nicolas Robette

References

Piccarreta R. (2017). Joint Sequence Analysis: Association and Clustering, Sociological Methods and Research, Vol. 46(2), 252-287.

Examples

library(TraMineR)
data(biofam)

## Building one channel per type of event (left, children or married)
bf <- as.matrix(biofam[, 10:25])
children <-  bf==4 | bf==5 | bf==6
married <- bf == 2 | bf== 3 | bf==6
left <- bf==1 | bf==3 | bf==5 | bf==6

## Building sequence objects
child.seq <- seqdef(children)
marr.seq <- seqdef(married)
left.seq <- seqdef(left)

## Using Hamming distance
mcdist <- seqdistmc(channels=list(child.seq, marr.seq, left.seq),
 	method="HAM")
child.dist <- seqdist(child.seq, method="HAM")
marr.dist <- seqdist(marr.seq, method="HAM")
left.dist <- seqdist(left.seq, method="HAM")

## Association between domains
asso <- assoc.domains(list(child.dist,marr.dist,left.dist), c('child','marr','left'), mcdist)
asso

nicolas-robette/seqhandbook documentation built on April 9, 2023, 7:08 a.m.