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[Stable]

Convenient function for calculating the median confidence interval. It can be used as a ggplot helper function for plotting.

Usage

stat_median_ci(x, conf_level = 0.95, na.rm = TRUE, gg_helper = TRUE)

Arguments

x

(numeric)
vector of numbers we want to analyze.

conf_level

(proportion)
confidence level of the interval.

na.rm

(flag)
whether NA values should be removed from x prior to analysis.

gg_helper

(logical)
TRUE when output should be aligned for the use with ggplot.

Value

A named vector of values median_ci_lwr and median_ci_upr.

Details

The function was adapted from DescTools/versions/0.99.35/source

Examples

stat_median_ci(sample(10), gg_helper = FALSE)
#> median_ci_lwr median_ci_upr 
#>             2             9 
#> attr(,"conf_level")
#> [1] 0.9785156

p <- ggplot2::ggplot(mtcars, ggplot2::aes(cyl, mpg)) +
  ggplot2::geom_point()
p + ggplot2::stat_summary(
  fun.data = stat_median_ci,
  geom = "errorbar"
)