Package: ScottKnott 1.3-2

ScottKnott: The ScottKnott Clustering Algorithm

Perform the balanced (Scott and Knott, 1974) and unbalanced <doi:10.1590/1984-70332017v17n1a1> Scott & Knott algorithm.

Authors:Enio Jelihovschi, José Cláudio Faria and Ivan Bezerra Allaman

ScottKnott_1.3-2.tar.gz
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ScottKnott_1.3-2.tgz(r-4.4-any)ScottKnott_1.3-2.tgz(r-4.3-any)
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ScottKnott.pdf |ScottKnott.html✨
ScottKnott/json (API)

# Install 'ScottKnott' in R:
install.packages('ScottKnott', repos = c('https://ivanalaman.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ivanalaman/scottknott/issues

Datasets:
  • CRD1 - Completely Randomized Design
  • CRD2 - Completely Randomized Design
  • FE - Factorial Experiment
  • LSD - Latin Squares Design
  • RCBD - Randomized Complete Block Design
  • SPE - Split-plot Experiment
  • SPET - Split-plot Experiment in Time
  • SSPE - Split-split-plot Experiment
  • sorghum - Completely Randomized Design

On CRAN:

4.55 score 1 stars 1 packages 39 scripts 665 downloads 6 mentions 6 exports 45 dependencies

Last updated 1 years agofrom:91832327eb. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 23 2024
R-4.5-winNOTEOct 23 2024
R-4.5-linuxNOTEOct 23 2024
R-4.4-winOKOct 23 2024
R-4.4-macOKOct 23 2024
R-4.3-winOKOct 23 2024
R-4.3-macOKOct 23 2024

Exports:boxplot.SKplot.SKprint.SKSKsummary.SKxtable.SK

Dependencies:backportsbootbroomclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmicrobenchmarkmodelrmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrxtable