Summaries from Hmisc: hmisc

Mix.install([
  {:giggly, path: Path.join(__DIR__, "..")},
  {:kino, "~> 0.19"}
  ])

About this notebook

This notebook follows the examples on ggplot2's reference page for mean_cl_boot(), which covers mean_cl_normal(), mean_sdl() and median_hilow() too, in the order the page gives them. Each example shows ggplot2's code first and then Giggly's. An example Giggly cannot draw yet keeps its ggplot2 code and names what it is waiting for, so the page is also a list of what remains.

These functions wrap summary functions from the Hmisc package so that stat_summary() can use them: each takes a numeric vector and returns a data frame of one row, a central value in y and the ends of an interval around it in ymin and ymax. mean_cl_boot(), mean_cl_normal() and mean_sdl() centre on the mean, and median_hilow() on the median. Not in Giggly yet: these four functions, and stat_summary().

Summaries of random values

if (requireNamespace("Hmisc", quietly = TRUE)) {
set.seed(1)
x <- rnorm(100)
mean_cl_boot(x)
mean_cl_normal(x)
mean_sdl(x)
median_hilow(x)
}

The example runs only where Hmisc is installed. With set.seed(1) fixing R's random numbers, rnorm(100) draws 100 values from a standard normal distribution, and each function returns its summary of them. Not in Giggly yet: mean_cl_boot(), mean_cl_normal(), mean_sdl() and median_hilow().