| seqdistmc {TraMineR} | R Documentation |
Compute multichannel pairwise optimal matching (OM) distances between sequences by deriving the substitution costs from the costs of the single channels. Works with OM and its following variants: distance based on longest common subsequence (LCS), Hamming distance (HAM), and Dynamic Hamming distance (DHD).
seqdistmc(channels, method, norm="none", indel="auto", sm=NULL,
with.missing=FALSE, full.matrix=TRUE, link="sum", cval=2,
miss.cost=2, cweight=NULL, what="diss", ch.sep="@@@@TraMineRSep@@@@")
channels |
A list of state sequence objects defined
with the |
method |
a character string indicating the metric to be used.
One of |
norm |
String.
Default: |
indel |
Double, vector of doubles, or list with an insertion/deletion cost or a vector of state dependent indel costs for each channel. Can also be |
sm |
A list with a substitution-cost matrix for each channel
or a list of method names for generating the channel substitution costs
(see |
with.missing |
Logical or vector of logical. Must be |
full.matrix |
Logical. If |
link |
Character string. One of |
cval |
Double. Substitution cost for |
miss.cost |
Double. Cost to substitute missing values, see |
cweight |
A vector of channel weights. Default is 1 (same weight for each channel). |
what |
Character string. What output should be returned? One of |
ch.sep |
Character string. Separator used for building state names of the expanded alphabet. |
The seqdistmc function first builds a state sequence by combining the channels. Then, it derives the multichannel indel and substitution costs from the indel and substitution costs of each channel by means of the additive trick (AT) proposed by Pollock, 2007). Finally, it computes the multichannel distances using the AT-multichannel costs. The available metrics (see method argument) are optimal matching ("OM"), longest common subsequence ("LCS"), Hamming distance ("HAM"), and Dynamic Hamming Distance ("DHD"). For other edit distances, extract the combined state sequence object (by setting what="seqmc") and the AT-multichannel substitution and indel costs (by setting what="cost"). Then use these outcomes as input in a call to seqdist. See seqdist for more information about available distance measures.
Normalization may be useful when dealing with sequences that are not all of the same length. For details on the applied normalization, see seqdist.
When what="diss", a matrix of pairwise distances between multichannel sequences.
When what="cost", the matrix of AT-substitution costs with three attributes: indel the AT-indel cost(s), alphabet the alphabet of the combined state sequences, and cweight the channel weights used.
When what="seqmc", the combined state sequence object.
Gilbert Ritschard and Matthias Studer
Pollock, Gary (2007) Holistic trajectories: a study of combined employment, housing and family careers by using multiple-sequence analysis. Journal of the Royal Statistical Society: Series A 170, Part 1, 167–183.
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 transition rates to compute substitution costs on each channel
mcdist <- seqdistmc(channels=list(child.seq, marr.seq, left.seq),
method="OM", sm =list("INDELSLOG", "INDELSLOG", "TRATE"))
## Using a weight of 2 for children channel and specifying
## channel specific substitution costs
smatrix <- list()
smatrix[[1]] <- seqsubm(child.seq, method="CONSTANT")
smatrix[[2]] <- seqsubm(marr.seq, method="CONSTANT")
smatrix[[3]] <- seqsubm(left.seq, method="TRATE")
mcdist2 <- seqdistmc(channels=list(child.seq, marr.seq, left.seq),
method="OM", sm =smatrix, cweight=c(2,1,1))
## Retrieving the multichannel sequences
mcseq <- seqdistmc(channels=list(child.seq, marr.seq, left.seq),
method="OM", sm =smatrix, cweight=c(2,1,1), what="seqmc", ch.sep="+")
alphabet(mcseq)
## Retrieving the AT-multichannel substitution costs
mcsm <- seqdistmc(channels=list(child.seq, marr.seq, left.seq),
method="OM", sm=smatrix, cweight=c(2,1,1), what="cost", ch.sep="+")