adplots (version 0.1.0)

udplot: Creates Ud-plot for the provided data excluding and including the estimated normal density curve.

Description

Ud-plot developed by a slight modification of Ad-plot can be utilized to assess normality.

Usage

udplot(X, npdf = FALSE, title = ifelse(npdf == FALSE, "Ud-plot",
       "Ud-plot & Normal Density Curve"), xlab = "x", lcol = "black",
       rcol = "grey60", pdfcol = "red", ...)

Value

Ad-plot

Arguments

X

an \(n\) by \(1\) matrix, equivalently, a column vector of length \(n\), where \(n\) is the number of observations.

npdf

display of the estimated normal density curve in the Ud-plot, FALSE by default.

title

title of the plot, Ud-plot by default and Ud-plot & Normal Density Curve otherwise.

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.

pdfcol

color of the estimated normal density curve, red by default.

...

other graphical parameters.

References

Wijesuriya, U. A. (2025). Ad-plot and Ud-plot for Determining Distributional Characteristics and Normality. Communications in Statistics-Theory and Methods, tools:::Rd_expr_doi("10.1080/03610926.2024.2440583").

Examples

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

   X2 <- matrix(rnorm(50, mean = 2, sd = 5))
   udplot(X2, npdf = TRUE)

   X3 <- matrix(rnorm(500, mean = 2, sd = 5))
   udplot(X3, npdf = TRUE, title = "", lcol = "blue", rcol = "red", pdfcol = "black")