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ScottKnott (version 1.2-0)
The ScottKnott Clustering Algorithm
Description
Division of an ANOVA experiment treatment means into homogeneous distinct groups using the clustering method of Scott & Knott
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Install
install.packages('ScottKnott')
Monthly Downloads
857
Version
1.2-0
License
GPL (>= 2)
Maintainer
Ivan Allaman
Last Published
October 18th, 2012
Functions in ScottKnott (1.2-0)
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summary
Summary Method for SK and SK.nest Objects
LSD
Latin Squares Design (LSD)
SSPE
Split-split-plot Experiment (SSPE)
SK.nest
The ScottKnott Clustering Algoritm for Factorial, Split-plot and Split-SPlit plot Experiments
ScottKnott-package
The ScottKnott Clustering Algorithm
RCBD
Randomized Complete Block Design (RCBD)
sorghum
Completely Randomized Design (CRD)
SK
The ScottKnott Clustering Algoritm for Single Experiments
SPE
Split-plot Experiment (SPE)
CRD2
Completely Randomized Design (CRD)
CRD1
Completely Randomized Design (CRD)
FE
Factorial Experiment (FE)
plot.SK
Plot SK and SK.nest Objects
MaxValue
Algorithm for Pre-order Path in Binary Decision Tree