impute_below_all: Impute data with values shifted 10 percent below range.

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

Impute data with values shifted 10 percent below range.

Description

It can be useful in exploratory graphics to impute data outside the range of the data. impute_below_all imputes all variables with missings to have values 10\ values adds a new string or label.

Usage

impute_below_all(.tbl, prop_below = 0.1, jitter = 0.05, ...)

Arguments

.tbl	a data.frame
prop_below	the degree to shift the values. default is
jitter	the amount of jitter to add. default is 0.05
...	additional arguments

Value

an dataset with values imputed

Examples

# you can impute data like so:
airquality %>%
  impute_below_all()

# However, this does not show you WHERE the missing values are.
# to keep track of them, you want to use `bind_shadow()` first.

airquality %>%
  bind_shadow() %>%
  impute_below_all()

# This identifies where the missing values are located, which means you
# can do things like this:

## Not run: 
library(ggplot2)
airquality %>%
  bind_shadow() %>%
  impute_below_all() %>%
  # identify where there are missings across rows.
  add_label_shadow() %>%
  ggplot(aes(x = Ozone,
             y = Solar.R,
             colour = any_missing)) +
  geom_point()
# Note that this ^^ is a long version of `geom_miss_point()`.

## End(Not run)

naniar documentation built on Feb. 16, 2023, 5:11 p.m.