gg_miss_span: Plot the number of missings in a given repeating span

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

Plot the number of missings in a given repeating span

Description

gg_miss_span is a replacement function to imputeTS::plotNA.distributionBar(tsNH4, breaksize = 100), which shows the number of missings in a given span, or breaksize. A default minimal theme is used, which can be customised as normal for ggplot.

Usage

gg_miss_span(data, var, span_every, facet)

Arguments

data	data.frame
var	a bare unquoted variable name from data.
span_every	integer describing the length of the span to be explored
facet	(optional) a single bare variable name, if you want to create a faceted plot.

Value

ggplot2 showing the number of missings in a span (window, or breaksize)

See Also

geom_miss_point() gg_miss_case() gg_miss_case_cumsum gg_miss_fct() gg_miss_var() gg_miss_var_cumsum() gg_miss_which()

Examples

miss_var_span(pedestrian, hourly_counts, span_every = 3000)
## Not run: 
library(ggplot2)
gg_miss_span(pedestrian, hourly_counts, span_every = 3000)
gg_miss_span(pedestrian, hourly_counts, span_every = 3000, facet = sensor_name)
# works with the rest of ggplot
gg_miss_span(pedestrian, hourly_counts, span_every = 3000) + labs(x = "custom")
gg_miss_span(pedestrian, hourly_counts, span_every = 3000) + theme_dark()

## End(Not run)

naniar documentation built on May 29, 2024, 1:43 a.m.