scoped-impute_mean: Scoped variants of 'impute_mean'

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

Scoped variants of impute_mean

Description

impute_mean imputes the mean for a vector. To get it to work on all variables, use impute_mean_all. To only impute variables that satisfy a specific condition, use the scoped variants, impute_below_at, and impute_below_if. To use ⁠_at⁠ effectively, you must know that ⁠_at`` affects variables selected with a character vector, or with ⁠vars()'.

Usage

impute_mean_all(.tbl)

impute_mean_at(.tbl, .vars)

impute_mean_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_mean_all(airquality)

impute_mean_at(airquality,
               .vars = c("Ozone", "Solar.R"))

## Not run: 
library(dplyr)
impute_mean_at(airquality,
                .vars = vars(Ozone))

impute_mean_if(airquality,
                .predicate = is.numeric)

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

## End(Not run)

njtierney/narnia documentation built on March 17, 2024, 1:06 p.m.