imputation: Imputing Missing Data

In UBC-MDS/prepropy-r: A R package for data preprocessing

Description

This function will impute missing data in a tibble/dataframe given the chosen method(mean, median)

Usage

imputation(fit_data, fill_data, method, constant = NULL)

Arguments

fit_data	list
fill_data	list
method	character
constant	character, default NULL

Value

list

Examples

test_df <- data.frame('a' = c(1,NA,3), 'b' = c(5,6,NA), 'c' = c(NA,1,10))
test_df_imputed <- imputation(test_df, test_df, 'mean')

UBC-MDS/prepropy-r documentation built on March 30, 2021, 12:02 p.m.