impute_factor: Impute a factor value into a vector with missing values

In njtierney/naniar: Data Structures, Summaries, and Visualisations for Missing Data

Impute a factor value into a vector with missing values

Description

For imputing fixed factor levels. It adds the new imputed value to the end of the levels of the vector. We generally recommend to impute using other model based approaches. See the simputation package, for example simputation::impute_lm().

Usage

impute_factor(x, value)

## Default S3 method:
impute_factor(x, value)

## S3 method for class 'factor'
impute_factor(x, value)

## S3 method for class 'character'
impute_factor(x, value)

## S3 method for class 'shade'
impute_factor(x, value)

Arguments

x	vector
value	factor to impute

Value

vector with a factor values replaced

Examples

vec <- factor(LETTERS[1:10])

vec[sample(1:10, 3)] <- NA

vec

impute_factor(vec, "wat")

library(dplyr)

dat <- tibble(
  num = rnorm(10),
  int = rpois(10, 5),
  fct = factor(LETTERS[1:10])
) %>%
  mutate(
    across(
      everything(),
      \(x) set_prop_miss(x, prop = 0.25)
    )
  )

dat

dat %>%
  nabular() %>%
  mutate(
    num = impute_fixed(num, -9999),
    int = impute_zero(int),
    fct = impute_factor(fct, "out")
  )

njtierney/naniar documentation built on March 19, 2024, 9:48 p.m.