Q-Q plots of randomly generated normal data of the same size as the
tested data are generated and ploted on the perimeter of the graph
while a Q-Q plot of the actual data is depicted in the center of the graph.
Usage
ntester(actual.data)
Arguments
actual.data
a numeric vector. Missing and infinite values are allowed,
but are ignored in the calculation. The length of actual.data must be
less than 5000 after dropping nonfinite values.
Details
Q-Q plots of randomly generated normal data of the same size as the tested
data are generated and ploted on the perimeter of the graph sheet while
a Q-Q plot of the actual data is depicted in the center of the graph.
The p-values are calculated form the Shapiro-Wilk W-statistic. Function
will only work on numeric vectors containing less than or equal to 5000 observations.
Author(s)
Alan T. Arnholt
References
Shapiro, S.S. and Wilk, M.B. (1965). An analysis of variance test
for normality (complete samples). Biometrika 52 : 591-611.
Examples
ntester(rexp(50,1))
# Q-Q plot of random exponential data in center plot
# surrounded by 8 Q-Q plots of randomly generated
# standard normal data of size 50.
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(BSDA)
Loading required package: e1071
Loading required package: lattice
Attaching package: 'BSDA'
The following object is masked from 'package:datasets':
Orange
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/BSDA/ntester.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ntester
> ### Title: Normality Tester
> ### Aliases: ntester
> ### Keywords: distribution
>
> ### ** Examples
>
> ntester(rexp(50,1))
> # Q-Q plot of random exponential data in center plot
> # surrounded by 8 Q-Q plots of randomly generated
> # standard normal data of size 50.
>
>
>
>
>
> dev.off()
null device
1
>