Created
May 12, 2016 16:17
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weighted clustering
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| library(WeightedCluster) | |
| data(mvad) | |
| mvad.alphabet <- c("employment", "FE", "HE", "joblessness", "school", "training") | |
| mvad.labels <- c("Employment", "Further Education", "Higher Education", "Joblessness", "School", "Training") | |
| mvad.scodes <- c("EM", "FE", "HE", "JL", "SC", "TR") | |
| mvadseq <- seqdef(mvad[, 17:86], alphabet = mvad.alphabet, | |
| states = mvad.scodes, labels = mvad.labels, | |
| weights = mvad$weight, xtstep = 6) | |
| subm.custom <- matrix( | |
| c(0, 1, 1, 2, 1, 1, | |
| 1, 0, 1, 2, 1, 2, | |
| 1, 1, 0, 3, 1, 2, | |
| 2, 2, 3, 0, 3, 1, | |
| 1, 1, 1, 3, 0, 2, | |
| 1, 2, 2, 1, 2, 0), | |
| nrow = 6, ncol = 6, byrow = TRUE) | |
| mvaddist <- seqdist(mvadseq, method = "OM", indel = 1.5, sm = subm.custom) |
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