naniar (version 0.6.0)

impute_below_all: 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

# NOT RUN {
# 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()`.
# }
# NOT RUN {
# }