naniar: add_n_miss – R documentation

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add_n_miss

Add column containing number of missing data values

Description

It can be useful when doing data analysis to add the number of missing data points into your dataframe. add_n_miss adds a column named "n_miss", which contains the number of missing values in that row.

Usage

add_n_miss(data, ..., label = "n_miss")

Arguments

`data`	a dataframe
`...`	Variable names to use instead of the whole dataset. By default this looks at the whole dataset. Otherwise, this is one or more unquoted expressions separated by commas. These also respect the dplyr verbs `starts_with`, `contains`, `ends_with`, etc. By default will add "_all" to the label if left blank, otherwise will add "_vars" to distinguish that it has not been used on all of the variables.
`label`	character default is "n_miss".

Value

a dataframe

Examples

airquality %>% add_n_miss()
airquality %>% add_n_miss(Ozone, Solar.R)
airquality %>% add_n_miss(dplyr::contains("o"))

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