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.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'))

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:

Conda:

4.58 score 1 stars 1 packages 42 scripts 704 downloads 6 mentions 6 exports 45 dependencies

Last updated 2 years agofrom:91832327eb. Checks:1 OK, 8 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 22 2025
R-4.5-winERRORMar 22 2025
R-4.5-macERRORMar 22 2025
R-4.5-linuxERRORMar 22 2025
R-4.4-winERRORMar 22 2025
R-4.4-macERRORMar 22 2025
R-4.4-linuxERRORMar 22 2025
R-4.3-winERRORMar 22 2025
R-4.3-macERRORMar 22 2025

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

Dependencies:backportsbootbroomclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmicrobenchmarkmodelrmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrxtable