impute_mode: Impute the mode value into a vector with missing values

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

Impute the mode value into a vector with missing values

Description

Impute the mode value into a vector with missing values

Usage

impute_mode(x)

## Default S3 method:
impute_mode(x)

## S3 method for class 'integer'
impute_mode(x)

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

Arguments

x

vector This approach adapts examples provided from stack overflow, and for the integer case, just rounds the value. While 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().

Value

vector with mode values replaced

Examples

vec <- rnorm(10)

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

impute_mode(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_mode(num),
    int = impute_mode(int),
    fct = impute_mode(fct)
  )

njtierney/ggmissing documentation built on March 19, 2024, 9:40 p.m.