Last data update: 2014.03.03
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Data Type
Classification
Cran Task View
BiocViews
SMO (statistical methods ontology)
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Images
S3 method to plot SK and SK.nest objects.
● Data Source:
CranContrib
● Keywords: design, htest, package, tree, univar
● Alias: plot.SK
●
4 images
These are methods for objects of class vector, matrix or data.frame joined as default, aov and aovlist for single experiments.
● Data Source:
CranContrib
● Keywords: design, htest, package, tree, univar
● Alias: SK, SK.aov, SK.aovlist, SK.default
●
10 images
These are methods for objects of class vector, matrix or data.frame joined as default, aov and aovlist for factorial, split-plot and split-split-plot experiments.
● Data Source:
CranContrib
The Scott & Knott clustering algorithm is a very useful clustering algorithm widely used as a multiple comparison method in the Analysis of Variance context, as for example Gates and Bilbro (1978), Bony et al. (2001), Dilson et al. (2002) and Jyotsna et al. (2003).
● Data Source:
CranContrib
● Keywords: design, htest, package, tree, univar
● Alias: ScottKnott, ScottKnott-package
●
17 images
Builds groups of means, according to the method of Scott & Knott.
● Data Source:
CranContrib
Returns (and prints) a summary list for SK and SK.nest objects.
● Data Source:
CranContrib
Calculates the means and dispersion for one, two and three factor(s) by model and model.frame functions.
● Data Source:
CranContrib
providing 
.