descrips: Pipe-friendly descriptive stats

In datalorax/sundry: A sundry of convenience functions

Description

Generate any set of descriptive statistics through the pipeline and return a tidy data frame. The function works with any number of variables, as well as with group_by.

Usage

descrips(
  data,
  ...,
  .funs = dplyr::funs(n(), min(., na.rm = TRUE), max(., na.rm = TRUE), mean(., na.rm =
    TRUE), sd(., na.rm = TRUE))
)

Arguments

data	The data frame that includes the variables to compute descriptive statistics on.
...	The set of variables to compute descriptive statistics on.
.funs	The functions to use in the descriptive statistics. Uses the funs function. Defaults to the number of observations, min, max, mean, and standard deviation.

Value

A tidy data frame with the requested descriptive statistics for the requested variables

Examples

library(dplyr)
library(magrittr)
storms %>%
  descrips(wind, pressure)

storms %>%
  group_by(year) %>%
  descrips(wind, pressure)

storms %>%
  group_by(year) %>%
  descrips(wind, pressure, .funs = funs(median, n()))

datalorax/sundry documentation built on April 11, 2021, 1:50 p.m.