Convert sequence data to seqHMM observations
Usage
as_seqhmm_sequences(
data,
sequence_id_col = "sequence_id",
order_col = "sequence_order",
state_col = "state",
...
)Arguments
- data
Long-format sequence data.
- sequence_id_col, order_col, state_col
Sequence columns.
- ...
Additional arguments passed to
as_traminer_sequences().
Value
A TraMineR stslist suitable for seqHMM::build_hmm().
Examples
sequences <- data.frame(
sequence_id = rep(c("s1", "s2", "s3", "s4"), each = 4L),
sequence_order = rep(1:4, times = 4L),
state = c("A", "B", "C", "D", "A", "B", "C", "C",
"D", "C", "B", "A", "D", "C", "A", "A"),
group = rep(c("g1", "g2"), each = 8L),
stringsAsFactors = FALSE
)
if (requireNamespace("TraMineR", quietly = TRUE) &&
requireNamespace("seqHMM", quietly = TRUE)) {
as_seqhmm_sequences(sequences)
}
#> [>] state coding:
#> [alphabet] [label] [long label]
#> 1 A A A
#> 2 B B B
#> 3 C C C
#> 4 D D D
#> [>] 4 sequences in the data set
#> [>] min/max sequence length: 4/4
#> Sequence
#> s1 A-B-C-D
#> s2 A-B-C-C
#> s3 D-C-B-A
#> s4 D-C-A-A