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shade

Create new levels of missing


Description

Returns (at least) factors of !NA and NA, where !NA indicates a datum that is not missing, and NA indicates missingness. It also allows you to specify some new missings, if you like. This function is what powers the factor levels in as_shadow().

Usage

shade(x, ..., extra_levels = NULL)

Arguments

x

a vector

...

additional levels of missing to add

extra_levels

extra levels you might to specify for the factor.

Examples

df <- tibble::tribble(
  ~wind, ~temp,
  -99,    45,
  68,    NA,
  72,    25
  )

shade(df$wind)

shade(df$wind, inst_fail = -99)

naniar

Data Structures, Summaries, and Visualisations for Missing Data

v0.6.0
MIT + file LICENSE
Authors
Nicholas Tierney [aut, cre] (<https://orcid.org/0000-0003-1460-8722>), Di Cook [aut] (<https://orcid.org/0000-0002-3813-7155>), Miles McBain [aut] (<https://orcid.org/0000-0003-2865-2548>), Colin Fay [aut] (<https://orcid.org/0000-0001-7343-1846>), Mitchell O'Hara-Wild [ctb], Jim Hester [ctb], Luke Smith [ctb]
Initial release

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