summarise_kurtosis: Summarise Kurtosis

In tidySummaries: Tidy Statistical Summaries for Exploratory Data Analysis

Summarise Kurtosis

Description

Calculates the kurtosis (default: **excess kurtosis**) of numeric vectors, matrices, data frames, or tibbles. Supports both the "standard" and "unbiased" methods and optionally returns **raw kurtosis**.

Usage

summarise_kurtosis(x, method = c("standard", "unbiased"), excess = TRUE)

Arguments

x	A numeric vector, matrix, data frame, or tibble.
method	Character. Method for kurtosis calculation: '"standard"' (default) or '"unbiased"'.
excess	Logical. If TRUE (default), returns **excess kurtosis** (minus 3); if FALSE, returns **raw kurtosis**.

Value

A tibble: - If input has one numeric column (or is a vector), a single-row tibble. - If input has multiple numeric columns, a tibble with variable names and kurtosis values.

Examples

summarise_kurtosis(iris)
summarise_kurtosis(iris, method = "unbiased")
summarise_kurtosis(iris, excess = FALSE)  # Raw kurtosis
summarise_kurtosis(iris$Sepal.Width)

tidySummaries documentation built on June 8, 2025, 11:35 a.m.