Pairwise comparison matrix

Description

It returns all possible pairwise comparison.

Usage

PairContrast(n)

Arguments

Value

Author(s)

Hyuna Yang

Examples

# load in abf1 data
data(abf1)
## Not run: 
fit.full.mix <- fitmaanova(abf1, formula = ~Strain+Sample, 
   random = ~Sample)
ftest.all = matest(abf1, fit.full.mix, test.method=c(1,1),
    shuffle.method="sample", term="Strain", n.perm= 100)
C = PairContrast(3)
ftest.pair = matest(abf1, fit.full.mix, Contrast = C, 
   term="Strain", n.perm=100)
## End(Not run)

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(maanova)

Attaching package: 'maanova'

The following object is masked from 'package:base':

    norm

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/maanova/PairContrast.Rd_%03d_medium.png", width=480, height=480)
> ### Name: PairContrast
> ### Title: Pairwise comparison matrix
> ### Aliases: PairContrast
> ### Keywords: models
> 
> ### ** Examples
> 
> # load in abf1 data
> data(abf1)
> ## Not run: 
> ##D fit.full.mix <- fitmaanova(abf1, formula = ~Strain+Sample, 
> ##D    random = ~Sample)
> ##D ftest.all = matest(abf1, fit.full.mix, test.method=c(1,1),
> ##D     shuffle.method="sample", term="Strain", n.perm= 100)
> ##D C = PairContrast(3)
> ##D ftest.pair = matest(abf1, fit.full.mix, Contrast = C, 
> ##D    term="Strain", n.perm=100)
> ## End(Not run)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>