handle_missing_values: Handle Missing Values in Dataset

In clinCompare: Dataset Comparison with 'CDISC' Validation for Clinical Trial Data

Handle Missing Values in Dataset

Description

Handles missing values (NA) in a data frame using one of several strategies: exclude rows, replace with a value, fill with column mean, fill with column median, or flag with an indicator column.

Usage

handle_missing_values(df, method = "exclude", replace_with = NULL)

Arguments

df	A data frame with potential missing values.
method	Method for handling missing values ('exclude', 'replace', 'mean', 'median', 'flag').
replace_with	Optional; a value or named list to replace missing values with (used with 'replace' method).

Value

A data frame after handling missing values.

clinCompare documentation built on Feb. 19, 2026, 1:07 a.m.