plot.mvn: Plot Diagnostics for Multivariate Normality Analysis

In MVN: Multivariate Normality Tests

Plot Diagnostics for Multivariate Normality Analysis

Description

Generates diagnostic plots for objects of class mvn, including multivariate Q-Q plots, 3D or contour kernel density plots, univariate plots (e.g., Q-Q, histograms, boxplots), and multivariate outlier detection plots. If a grouping variable (subset) was used in the mvn function, plots will be generated separately for each group.

Usage

## S3 method for class 'mvn'
plot(x, ...)

Arguments

x	An object of class mvn, as returned by the mvn function.
...	Additional arguments passed to internal plotting functions: diagnostic ("multivariate", "univariate", "outlier"), type (e.g., "qq", "boxplot", "persp"), interactive (logical; use plotly), and

Value

This function is called for its side effect of producing plots. It does not return a value.

Examples

## Not run: 
data <- iris[1:4]
result <- mvn(data)

plot(result, diagnostic = "multivariate", type = "qq")
plot(result, diagnostic = "univariate", type = "boxplot")
plot(result, diagnostic = "outlier")

## End(Not run)

MVN documentation built on June 10, 2025, 5:12 p.m.