tna (version 1.0.0)

import_data: Import Wide Format Sequence Data as Long Format Sequence Data

Description

This function transforms wide format data where features are in separate columns into a long format suitable for sequence analysis. It creates windows of data based on row order and generates sequence order within these windows.

Usage

import_data(data, cols, id_cols, window_size = 1, replace_zeros = TRUE)

Value

A data.frame in long format with added columns for window and sequence order.

Arguments

data

A data.frame in wide format.

cols

An expression giving a tidy selection of column names to be transformed into long format (actions). This can be a vector of column names (e.g., c(feature1, feature2)) or a range specified as feature1:feature6 (without quotes) to include all columns from 'feature1' to 'feature6' in the order they appear in the data frame. For more information on tidy selections, see dplyr::select().

id_cols

A character vector of column names that uniquely identify each observation (IDs).

window_size

An integer specifying the size of the window for sequence grouping. Default is 1 (each row is a separate window).

replace_zeros

A logical value indicating whether to replace 0s in cols with NA. The default is TRUE.

See Also

Other data: prepare_data(), print.tna_data(), simulate.tna()

Examples

data <- data.frame(
  ID = c("A", "A", "B", "B"),
  Time = c(1, 2, 1, 2),
  feature1 = c(10, 0, 15, 20),
  feature2 = c(5, 8, 0, 12),
  feature3 = c(2, 4, 6, 8),
  other_col = c("X", "Y", "Z", "W")
)

# Using a vector
long_data1 <- import_data(
  data = data,
  cols = c(feature1, feature2),
  id_cols = c("ID", "Time"),
  window_size = 2,
  replace_zeros = TRUE
)

# Using a column range
long_data2 <- import_data(
  data = data,
  cols = feature1:feature3,
  id_cols = c("ID", "Time"),
  window_size = 2,
  replace_zeros = TRUE
)