svplot2 {svplots} | R Documentation |
Creates Sv-plot2, the second version of the sample variance 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 |
title |
title of the plot, Sv-plot2 by default. |
xlab |
|
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")
[Package svplots version 0.1.0 Index]