# kurtosis.folder: Kurtosis coefficients of a folder of data sets In dad: Three-Way / Multigroup Data Analysis Through Densities

## Description

Computes the kurtosis coefficient by column of the elements of an object of class `folder`.

## Usage

 `1` ```kurtosis.folder(x, na.rm = FALSE, type = 3) ```

## Arguments

 `x` an object of class `folder`. `na.rm` logical. Should missing values be omitted from the calculations? (see `kurtosis`) `type` an integer between 1 and 3 (see `kurtosis`).

## Details

It uses `kurtosis` to compute the mean by numeric column of each element of the folder. If some columns of the data frames are not numeric, there is a warning, and the means are computed on the numeric columns only.

## Value

A list whose elements are the kurtosis coefficients by column of the elements of the folder.

## Author(s)

Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Gilles Hunault, Sabine Demotes-Mainard

`folder` to create an object is of class `folder`. `mean.folder`, `var.folder`, `cor.folder`, `skewness.folder` for other statistics for `folder` objects.
 ``` 1 2 3 4 5 6 7 8 9 10 11``` ```# First example: iris (Fisher) data(iris) iris.fold <- as.folder(iris, "Species") iris.kurtosis <- kurtosis.folder(iris.fold) print(iris.kurtosis) # Second example: roses data(roses) roses.fold <- as.folder(roses, "rose") roses.kurtosis <- kurtosis.folder(roses.fold) print(roses.kurtosis) ```