itemrest_split: Split Observations into Discovery and Validation Samples

In ItemRest: Automated Item Removal Strategies for Exploratory Factor Analysis

Split Observations into Discovery and Validation Samples

Description

Split Observations into Discovery and Validation Samples

Usage

itemrest_split(
  data,
  train_fraction = 0.7,
  seed = NULL,
  validation_method = c("efa", "cfa"),
  ...
)

Arguments

data	Numeric data.frame or matrix.
train_fraction	Fraction assigned to discovery, default 0.70.
seed	Integer seed; NULL uses the local date in DDMMYYYY format.
validation_method	"efa" or "cfa".
...	Arguments to itemrest, excluding data and seed.

Value

A list with discovery, validation, disjoint discovery_rows and validation_rows, and seed. Splitting precedes missing-data handling.

ItemRest documentation built on Oct. 6, 2026, 1:07 a.m.