adplot: Creates Ad-plot for the provided data.

In adplots: Ad-Plot and Ud-Plot for Visualizing Distributional Properties and Normality

Creates Ad-plot for the provided data.

Description

Ad-plot identifies the characteristics of the distribution such as symmetry, skewness, and outliers of the data set.

Usage

adplot(X, title = "Ad-plot", xlab = "x", lcol = "black", rcol = "grey60", ...)

Arguments

X	an n by 1 matrix, equivalently, a column vector of length n, where n is the number of observations.
title	title of the plot, Ad-plot by default.
xlab	x-axis label, x by default.
lcol	color of the points corresponding to the data that are less than or equal to the sample average, black by default.
rcol	color of the points corresponding to the data that are greater than the sample average, grey60 by default.
...	other graphical parameters.

Value

Ad-plot

References

Wijesuriya, U. A. (2025). Ad-plot and Ud-plot for Determining Distributional Characteristics and Normality. Communications in Statistics-Theory and Methods, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/03610926.2024.2440583")}.

Examples

   set.seed(0)
   X1 <- matrix(rnorm(50, mean = 2, sd = 5))
   adplot(X1)

   X2 <- matrix(rf(50, df1 = 10, df2 = 5))
   adplot(X2)

   X3 <- matrix(rbeta(50, shape1 = 10, shape2 = 2))
   adplot(X3, title="", lcol = "blue", rcol = "red")

adplots documentation built on April 3, 2025, 6:06 p.m.