This is a visual analogue to miss_case_summary
. It draws a ggplot of the
number of missings in each case (row). A default minimal theme is used, which
can be customised as normal for ggplot.
gg_miss_case(x, facet, order_cases = TRUE, show_pct = FALSE)
x | data.frame |
---|---|
facet | (optional) a single bare variable name, if you want to create a faceted plot. |
order_cases | logical Order the rows by missingness (default is FALSE - no order). |
show_pct | logical Show the percentage of cases |
a ggplot object depicting the number of missings in a given case.
geom_miss_point()
gg_miss_case_cumsum gg_miss_fct()
gg_miss_span()
gg_miss_var()
gg_miss_var_cumsum()
gg_miss_which()
gg_miss_case(airquality)if (FALSE) { library(ggplot2) gg_miss_case(airquality) + labs(x = "Number of Cases") gg_miss_case(airquality, show_pct = TRUE) gg_miss_case(airquality, order_cases = FALSE) gg_miss_case(airquality, facet = Month) gg_miss_case(airquality, facet = Month, order_cases = FALSE) gg_miss_case(airquality, facet = Month, show_pct = TRUE) }