Fit One Trajectory Choice — fit_trajectory

Fits a candidate from trajectory_choices(), selected by candidate_id, by any combination of n_trajectories, dissimilarity, and method, or — when nothing is specified — the recommended candidate.

Usage

fit_trajectory_choice(
  choices,
  candidate_id = NULL,
  labels = NULL,
  n_trajectories = NULL,
  dissimilarity = NULL,
  method = NULL
)

Arguments

choices: A vasstra_trajectory_choices object.
candidate_id: Optional explicit candidate number to fit.
labels: Optional trajectory labels.
n_trajectories: Optional trajectory count used to select the candidate.
dissimilarity: Optional sequence distance used to select the candidate.
method: Optional clustering method used to select the candidate.

Value

A vasstra_trajectories object with the selected candidate and complete comparison table recorded in diagnostics.

Examples

sequences <- step2_sequences(
  data.frame(
    id = rep(1:6, each = 3),
    time = rep(1:3, 6),
    state = rep(c("A", "A", "A", "B", "B", "B"), each = 3)
  ),
  "id", "time", "state"
)
choices <- trajectory_choices(
  sequences, n_trajectories = 2, dissimilarity = "hamming",
  method = "pam"
)
fit_trajectory_choice(choices)
#> Fitting recommended candidate 1.
#> VaSSTra Step 3: Sequences -> Trajectories
#>   6 sequences | 2 trajectories | hamming + pam | silhouette 1.000
#>   Sizes: Trajectory 1=3, Trajectory 2=3