getDataInShape: Align Data with a Missing Reference

In folda: Forward Stepwise Discriminant Analysis with Pillai's Trace

Align Data with a Missing Reference

Description

This function aligns a given dataset (data) with a reference dataset (missingReference). It ensures that the structure, column names, and factor levels in data match the structure of missingReference. If necessary, missing columns are initialized with NA, and factor levels are adjusted to match the reference. Additionally, it handles the imputation of missing values based on the reference and manages flag variables for categorical or numerical columns.

Usage

getDataInShape(data, missingReference)

Arguments

data	A data frame to be aligned and adjusted according to the missingReference.
missingReference	A reference data frame that provides the structure (column names, factor levels, and missing value reference) for aligning data.

Value

A data frame where the structure, column names, and factor levels of data are aligned with missingReference. Missing values in data are imputed based on the first row of the missingReference, and flag variables are updated accordingly.

Examples

data <- data.frame(
  X1_FLAG = c(0, 0, 0),
  X1 = factor(c(NA, "C", "B"), levels = LETTERS[2:3]),
  X2_FLAG = c(NA, 0, 1),
  X2 = c(2, NA, 3)
)

missingReference <- data.frame(
  X1_FLAG = 1,
  X1 = factor("A", levels = LETTERS[1:2]),
  X2 = 1,
  X2_FLAG = 1
)

getDataInShape(data, missingReference)

folda documentation built on Oct. 30, 2024, 9:14 a.m.