naniar: miss_var_span – R documentation

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miss_var_span

Summarise the number of missings for a given repeating span on a variable

Description

To summarise the missing values in a time series object it can be useful to calculate the number of missing values in a given time period. miss_var_span takes a data.frame object, a variable, and a span_every argument and returns a dataframe containing the number of missing values within each span.

Usage

miss_var_span(data, var, span_every)

Arguments

`data`	data.frame
`var`	bare unquoted variable name of interest.
`span_every`	integer describing the length of the span to be explored

Value

dataframe with variables n_miss, n_complete, prop_miss, and prop_complete, which describe the number, or proportion of missing or complete values within that given time span.

Examples

miss_var_span(data = pedestrian,
             var = hourly_counts,
             span_every = 168)

## Not run: 
 library(dplyr)
 pedestrian %>%
   group_by(month) %>%
     miss_var_span(var = hourly_counts,
                   span_every = 168)

## End(Not run)

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