assoc.domains

0th

Percentile

Association measures between domains in multidimensional sequence analysis

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

Keywords
state sequences, Longitudinal characteristics
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

References

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

Aliases
  • assoc.domains
Examples
# NOT RUN {
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
# }
Documentation reproduced from package seqhandbook, version 0.1.0, License: GPL (>= 2)

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