impute_median: Impute the median value into a vector with missing values

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

Impute the median value into a vector with missing values

Description

Impute the median value into a vector with missing values

Usage

impute_median(x)

## Default S3 method:
impute_median(x)

## S3 method for class 'factor'
impute_median(x)

Arguments

x

vector

Value

vector with median values replaced

Examples

vec <- rnorm(10)

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

impute_median(vec)

library(dplyr)

dat <- tibble(
  num = rnorm(10),
  int = as.integer(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_median(num),
    int = impute_median(int),
  )

dat %>%
  nabular() %>%
  mutate(
    across(
      where(is.numeric),
      impute_median
    )
  )

dat %>%
  nabular() %>%
  mutate(
    across(
      c("num", "int"),
      impute_median
    )
 )

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