Learn R Programming

⚠️There's a newer version (1.3-43) of this package.Take me there.

TukeyC

This is the development code of the R package TukeyC. You should use it if you want to contribute to its development: testing unreleased versions, fixing bugs, writing code, etc.

To download, check and build it do the following in a terminal emulator:

git clone git://github.com/jcfaria/TukeyC.git

or

git clone https://jcfaria@github.com/jcfaria/TukeyC.git

After to clone it, to check, build and install do the following:

R CMD check TukeyC

R CMD build TukeyC

R CMD INSTALL TukeyC_X.X-X.tar.gz

Or, you can install using devtools package as:

library(devtools)

install_github('jcfaria/TukeyC')

Copy Link

Version

Install

install.packages('TukeyC')

Monthly Downloads

235

Version

1.3-42

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Ivan Allaman

Last Published

August 31st, 2023

Functions in TukeyC (1.3-42)

Tukey test

Conventional Tukey Test
summary

Summary Method for TukeyC and TukeyC.nest Objects
make.TukeyC.groups

Make Tukey Groups
cv

Coefficient of the experiment variation
plot.TukeyC

Plot TukeyC and TukeyC.nest Objects
TukeyC

The TukeyC Test for Single Experiments
SSPE

Split-split-plot Experiment (SSPE)
print.TukeyC

Print Method for TukeyC objects.
make.TukeyC.test

Make Tukey Test
sorghum

Completely Randomized Design (CRD)
boxplot.TukeyC

Boxplot TukeyC Objects
xtable.TukeyC

xtable method for TukeyC objects.
CRD1

Completely Randomized Design (CRD)
CRD2

Completely Randomized Design (CRD)
SPE

Split-plot Experiment (SPE)
TukeyC-internal

Internal TukeyC functions
LSD

Latin Squares Design (LSD)
RCBD

Randomized Complete Block Design (RCBD)
SPET

Split-plot Experiment in Time (SPET)
FE

Factorial Experiment (FE)