encode_na: Encode missing values as category and/or add missing data...

In sumtxt/datatools: Functions I use a lot when working with data in R

Description

A function useful to analyze missing data patterns.

Usage

encode_na(df)

Arguments

df	data.frame

Details

Variables of class logical, character, factor, and ordered factor: Convert missings to a separate category ("(Missing)"). Character variables are converted to a factor variable. All other variables: Impute 0 and add a missing data indicator to data frame ("[varname]_na").

Value

data.frame

Examples

df <- data.frame(a=1:5, b=LETTERS[1:5])
df[['a']][1] <- NA
df[['b']][4] <- NA
encode_na(df)

sumtxt/datatools documentation built on Jan. 3, 2021, 1:39 a.m.