long_to_wide: Convert Long Format to Wide Sequences

In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis

Convert Long Format to Wide Sequences

Description

Convert sequence data from long format (one row per action) to wide format (one row per sequence, columns as time points).

Usage

long_to_wide(
  data,
  id_col = "Actor",
  time_col = "Time",
  action_col = "Action",
  time_prefix = "V",
  fill_na = TRUE
)

Arguments

data	Data frame in long format.
id_col	Character. Name of the column identifying sequences. Default: "Actor".
time_col	Character. Name of the column identifying time points. Default: "Time".
action_col	Character. Name of the column containing actions/states. Default: "Action".
time_prefix	Character. Prefix for time point columns in output. Default: "V".
fill_na	Logical. Whether to fill missing time points with NA. Default: TRUE.

Details

This function converts long format data (like that from simulate_long_data()) to the wide format expected by tna::tna() and related functions.

If time_col contains non-integer values (e.g., timestamps), the function will use the ordering within each sequence to create time indices.

Value

A data frame in wide format where each row is a sequence and columns V1, V2, ... contain the actions at each time point.

See Also

wide_to_long for the reverse conversion, prepare_for_tna for preparing data for TNA analysis.

Examples

long_data <- data.frame(
  Actor = rep(1:3, each = 4),
  Time = rep(1:4, 3),
  Action = sample(c("A", "B", "C"), 12, replace = TRUE)
)
wide_data <- long_to_wide(long_data, id_col = "Actor")
head(wide_data)

Nestimate documentation built on April 20, 2026, 5:06 p.m.