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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