impute_zero: Impute zero into a vector with missing values

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

Impute zero 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_zero(x)

Arguments

x

vector

Value

vector with a fixed values replaced

Examples

vec <- rnorm(10)

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

vec

impute_zero(vec)

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 March 19, 2024, 9:40 p.m.