gg_miss_var {naniar} | R Documentation |
Plot the number of missings for each variable
Description
This is a visual analogue to miss_var_summary
. It draws a ggplot of the
number of missings in each variable, ordered to show which variables have
the most missing data. A default minimal theme is used, which can be
customised as normal for ggplot.
Usage
gg_miss_var(x, facet, show_pct = FALSE)
Arguments
x |
a dataframe |
facet |
(optional) bare variable name, if you want to create a faceted plot. |
show_pct |
logical shows the number of missings (default), but if set to TRUE, it will display the proportion of missings. |
Value
a ggplot object depicting the number of missings in a given column
See Also
geom_miss_point()
gg_miss_case()
gg_miss_case_cumsum gg_miss_fct()
gg_miss_span()
gg_miss_var()
gg_miss_var_cumsum()
gg_miss_which()
Examples
gg_miss_var(airquality)
## Not run:
library(ggplot2)
gg_miss_var(airquality) + labs(y = "Look at all the missing ones")
gg_miss_var(airquality, Month)
gg_miss_var(airquality, Month, show_pct = TRUE)
gg_miss_var(airquality, Month, show_pct = TRUE) + ylim(0, 100)
## End(Not run)
[Package naniar version 1.1.0 Index]