svplot2: Creates Sv-plot2, the second version of the sample variance...

In svplots: Sample Variance Plots (Sv-Plots)

Description

Sv-plot2 identifies the characteristics of the distribution illustrating squared deviation values in the sample variance against each data value.

Usage

svplot2(X,title="Sv-plot2",xlab="x",lbcol="grey5", lsdcol="grey60",
             rbcol="grey45",rsdcol="grey75",...)

Arguments

X	an n by 1 matrix, equivalently, a column vector of length n, where n is number of observations.
title	title of the plot, Sv-plot2 by default.
xlab	x-axis label, x by default.
lbcol	left bound color, grey5 by default.
lsdcol	left squared deviation color, grey60 by default.
rbcol	right bound color, grey45 by default.
rsdcol	right squared deviation color, grey75 by default.
...	other graphical parameters.

Value

Sv-plot2

References

Wijesuriya, U. A. (2020). Sv-plots for identifying characteristics of the distribution and testing hypotheses. Communications in Statistics-Simulation and Computation, doi: 10.1080/03610918.2020.1851716.

Examples

   set.seed(0)
   X1 <- matrix(rnorm(50,mean=2,sd=5))
   svplot2(X1)

   X2 <- matrix(rf(50,df1=10,df2=5))
   svplot2(X2)

   X3 <- matrix(rbeta(50,shape1=10,shape2=2))
   svplot2(X3,lbcol="blue",lsdcol="blue",rbcol="red",rsdcol="red")

svplots documentation built on April 7, 2021, 9:07 a.m.