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ScottKnott

This is the development code of the R package ScottKnott. 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/ScottKnott.git

or

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

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

R CMD check ScottKnott

R CMD build ScottKnott

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

The stable version of this package is available at: http://cran.r-project.org/web/packages/ScottKnott/index.html

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Version

Install

install.packages('ScottKnott')

Monthly Downloads

857

Version

1.2-7

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Ivan Allaman

Last Published

June 7th, 2018

Functions in ScottKnott (1.2-7)

SK

The ScottKnott Clustering Algoritm for Single Experiments
SPE

Split-plot Experiment (SPE)
CRD2

Completely Randomized Design (CRD)
LSD

Latin Squares Design (LSD)
RCBD

Randomized Complete Block Design (RCBD)
FE

Factorial Experiment (FE)
CRD1

Completely Randomized Design (CRD)
MaxValue

Algorithm for Pre-order Path in Binary Decision Tree
SPET

Split-plot Experiment in Time (SPET)
summary

Summary Method for SK and SK.nest Objects
SSPE

Split-split-plot Experiment (SSPE)
m.inf

Calculates the Means and Dispersion
sorghum

Completely Randomized Design (CRD)
SK.nest

The ScottKnott Clustering Algoritm for Factorial, Split-plot and Split-SPlit plot Experiments
plot.SK

Plot SK and SK.nest Objects
ScottKnott-package

The ScottKnott Clustering Algorithm