fav_stats {mosaic}

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)