fav_stats: Some favorite statistical summaries

In ProjectMOSAIC/mosaic: Project MOSAIC Statistics and Mathematics Teaching Utilities

Some favorite statistical summaries

Description

Likely you mean to be using favstats(). Each of these computes the mean, standard deviation, quartiles, sample size and number of missing values for a numeric vector, but favstats() can take a formula describing how these summary statistics should be aggregated across various subsets of the data.

Usage

fav_stats(x, ..., na.rm = TRUE, type = 7)

Arguments

x	numeric vector
...	additional arguments (currently ignored)
na.rm	boolean indicating whether missing data should be ignored
type	an integer between 1 and 9 selecting one of the nine quantile algorithms detailed in the documentation for stats::quantile()

Value

A vector of statistical summaries

Examples

fav_stats(1:10)
fav_stats(faithful$eruptions)
data(penguins, package = "palmerpenguins")

# Note: this is favstats() rather than fav_stats()
favstats(bill_length_mm ~ species, data = penguins)  

ProjectMOSAIC/mosaic documentation built on Feb. 21, 2024, 2:11 a.m.