scoped-impute_median: Scoped variants of 'impute_median'

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

Scoped variants of impute_median

Description

impute_median imputes the median for a vector. To only impute many variables at once, we recommend that you use the across function workflow, shown in the examples for impute_median(). You can use the scoped variants, impute_median_all.impute_below_at, and impute_below_if to impute all, some, or just those variables meeting some condition, respectively. To use ⁠_at⁠ effectively, you must know that ⁠_at⁠ affects variables selected with a character vector, or with vars().

Usage

impute_median_all(.tbl)

impute_median_at(.tbl, .vars)

impute_median_if(.tbl, .predicate)

Arguments

.tbl	a data.frame
.vars	variables to impute
.predicate	variables to impute

Details

Value

an dataset with values imputed

Examples

# select variables starting with a particular string.
impute_median_all(airquality)

impute_median_at(airquality,
               .vars = c("Ozone", "Solar.R"))
library(dplyr)
impute_median_at(airquality,
                .vars = vars(Ozone))

impute_median_if(airquality,
                .predicate = is.numeric)

library(ggplot2)
airquality %>%
  bind_shadow() %>%
  impute_median_all() %>%
  add_label_shadow() %>%
  ggplot(aes(x = Ozone,
             y = Solar.R,
             colour = any_missing)) +
         geom_point()

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