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Impute missing data in a data frame

impute_data.Rd

This function imputes missing data in a data frame (df) using the specified imputation_method. Supported methods include "LOD", "1/5th", "KNN", "PPCA", "median", "mean", "RF", and "LCMD".

Usage

impute_data(
  df,
  df_meta_features = NULL,
  imputation_method = "mean",
  col_features = NULL,
  col_LOD = NULL
)

Arguments

df

A data frame with missing values to be imputed.

df_meta_features

A data frame containing feature metadata, required for "LOD" imputation.

imputation_method

A character string specifying the imputation method. Valid options are: "LOD", "1/5th", "KNN", "PPCA", "median", "mean", "RF", "LCMD".

col_features

(Optional) Character name of the column in df_meta_features containing feature names, required for "LOD" imputation.

col_LOD

(Optional) Character name of the column in df_meta_features containing the limit of detection (LOD) values, required for "LOD" imputation.

Value

A data frame (df) with imputed values.