impute_fixed: Impute a fixed value into a vector with missing values

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

Impute a fixed value into a vector with missing values

Description

This can be useful if you are imputing specific values, however we would generally recommend to impute using other model based approaches. See the simputation package, for example simputation::impute_lm().

Usage

impute_fixed(x, value)

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

Arguments

x	vector
value	value to impute

Value

vector with a fixed values replaced

Examples

vec <- rnorm(10)

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

vec

impute_fixed(vec, -999)

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/ggmissing documentation built on July 4, 2025, 12:54 a.m.