summarise: Summary statistics for grouped data

In jmcurran/Hotelling: Hotelling's T^2 Test and Variants

Description

Easily get summary statistics for each group present in the data

Usage

summarise(x, ...)

## Default S3 method:
summarise(
  x,
  y,
  stats = list(Mean = mean, Median = median, `Std. Dev.` = sd, N = length),
  ...
)

## S3 method for class 'formula'
summarise(
  x,
  data = NULL,
  stats = list(Mean = mean, Median = median, `Std. Dev.` = sd, N = length),
  ...
)

## S3 method for class 'data.frame'
summarise(x, y, ...)

Arguments

x	a matrix of multivariate observations, a list of summary statistics from multivariate observations, a data.frame of multivariate observations, or a formula with a multivariate response on the right hand side, and a grouping variable/factor on the left hand side.
y	a matrix of multivariate observations, a list of summary statistics from multivariate observations, OR a data.frame of multivariate observations
stats	a named list of summary statistics to compute on each variable in each group. Note 1: Quantiles are not supported yet because I can't think of a good way to handle the extra arguments. Help welcome. Note 2: The names of the elements in the list are used to label the columns of the output. They probably should be unique.
data	a data.frame containing the variables used in a formula
...	other arguments such as another matrix of multivariate observations: see summarise.default, or a data to be used with a formula: see summarise.formula

Methods (by class)

• default: Summary statistics for grouped data

• formula: Summary statistics for grouped data

• data.frame: Summary statistics for grouped data

Examples

data(container.df)
split.data = split(container.df[,-1],container.df$gp)
x = split.data[[1]]
y = split.data[[2]]
summarise(x, y)

## Using the formula interface
data(container.df)
summarise(gp~., data = container.df)

summarise(gp~Al+Ti, data = container.df)

jmcurran/Hotelling documentation built on Sept. 12, 2021, 6:12 p.m.