check_data: Sanity check for input data before imputation

In mixgb: Multiple Imputation Through 'XGBoost'

Sanity check for input data before imputation

Description

The function 'check_data()' serves the purpose of performing a preliminary check and fix some evident issues. However, the function cannot resolve all data quality-related problems.

Usage

check_data(data, max_levels = round(0.5 * nrow(data)), verbose = TRUE)

Arguments

data	A data frame or data table.
max_levels	An integer specifying the maximum number of levels allowed for a factor variable. This is used to detect potential ID columns that are often non-informative for imputation. Default: 50% of the number of rows, rounded to the nearest integer.
verbose	Verbose setting. If TRUE, will print out warnings when data issues are found. Default: TRUE.

Value

A preliminary checked dataset

Examples

bad_data <- data.frame(Amount = c(Inf, 10, 201.5), Type = factor(c("NaN", "B", "A")))
checked_data <- check_data(data = bad_data, verbose = TRUE)

mixgb documentation built on Jan. 17, 2026, 5:07 p.m.