mvdalab (version 1.4)

imputeBasic: Naive imputation of missing values.

Description

Imputes the mean or median for continous variables; highest frequency for categorical variables.

Usage

imputeBasic(data, Init = "mean")

Arguments

data

a dataset with missing values

Init

For continous variables impute either the mean or median

Value

imputeBasic returns a list containing the following components:

Imputed.DataFrame

Final imputed data frame

Imputed.Missing.Continous

Imputed continous values

Imputed.Missing.Factors

Imputed categorical values

Details

A completed data frame is returned. For numeric variables, NAs are replaced with column means or medians. For categorical variables, NAs are replaced with the most frequent levels. If object contains no NAs, it is returned unaltered.

Examples

# NOT RUN {
dat <- introNAs(iris, percent = 25)
imputeBasic(dat)
# }