Description Usage Arguments Value Examples
Generates a plot of the modal states
1 2 3 4 5 6 | plot_modal(
seq_def_tidy,
color_mapping = NULL,
cluster_labels = NULL,
n_col_facets = 1
)
|
seq_def_tidy |
a tidy tibble generated from sequenchr::tidy_sequence_data |
color_mapping |
a list of named colors where the names match the alphabet of the original sequence data |
cluster_labels |
optional. A vector of cluster assignments |
n_col_facets |
optional. If cluster_labels is provided then the number of facet columns |
ggplot object
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | library(TraMineR)
data(mvad)
seqstatl(mvad[, 17:86])
mvad.alphabet <- c("employment", "FE", "HE", "joblessness", "school",
"training")
mvad.labels <- c("employment", "further education", "higher education",
"joblessness", "school", "training")
mvad.seq <- seqdef(mvad, 17:86, alphabet = mvad.alphabet,
labels = mvad.labels, xtstep = 6)
seq_def_tidy <- tidy_sequence_data(mvad.seq)
color_mapping <- viridis::viridis_pal()(length(alphabet(mvad.seq)))
names(color_mapping) <- alphabet(mvad.seq)
plot_modal(seq_def_tidy, color_mapping)
dist_matrix <- TraMineR::seqdist(seqdata = mvad.seq, method = "DHD")
cluster_model <- hclust(d = as.dist(dist_matrix), method = 'ward.D2')
cluster_labels <- stats::cutree(cluster_model, k = 5)
plot_modal(seq_def_tidy, color_mapping, cluster_labels = cluster_labels)
|
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