Simulated Lilliefors' Test of Normality Values

Description

Function to visualize the sampling distribution of Dn for simple and composite hypotheses

Usage

ksLdist(n = 10, sims = 1000, alpha = 0.05)

Arguments

Author(s)

Alan T. Arnholt

See Also

ksdist

Examples

# Figure 10.15
ksLdist(sims=10000,n=10)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(PASWR)
Loading required package: e1071
Loading required package: MASS
Loading required package: lattice
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/PASWR/ksLdist.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ksLdist
> ### Title: Simulated Lilliefors' Test of Normality Values
> ### Aliases: ksLdist
> ### Keywords: distribution
> 
> ### ** Examples
> 
> # Figure 10.15
> ksLdist(sims=10000,n=10)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>