Plots the results from a permutation based version of Hotelling's T-squared test for the difference in two multivariate sample means

Description

Plots a histogram of the distribution of the permuted test statistics for a permutation version of Hotelling's T-squared

Usage

## S3 method for class 'hotelling.test'
plot(x,...)

Arguments

Details

This function only works if you have performed a permutation test. It will return an error message if not. It could be programmed to draw the relevant F distribution in the standard case, but this seems rather pointless.

Author(s)

James M. Curran

Examples

data(bottle.df)
bottle.df = subset(bottle.df, Number == 1)
bottle.df$Number = rep(1:2,c(10,10))
fit = hotelling.test(.~Number, bottle.df, perm = TRUE)
plot(fit)
plot(fit, col = "lightblue")

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(Hotelling)
Loading required package: corpcor
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/Hotelling/plot.hotelling.test.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot.hotelling.test
> ### Title: Plots the results from a permutation based version of
> ###   Hotelling's T-squared test for the difference in two multivariate
> ###   sample means
> ### Aliases: plot.hotelling.test
> ### Keywords: plot
> 
> ### ** Examples
> 
> data(bottle.df)
> bottle.df = subset(bottle.df, Number == 1)
> bottle.df$Number = rep(1:2,c(10,10))
> fit = hotelling.test(.~Number, bottle.df, perm = TRUE)
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> plot(fit, col = "lightblue")
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>