Package: TukeyC 1.3-41

Ivan Bezerra Allaman

TukeyC: Conventional Tukey Test

Perform the conventional Tukey test from formula, lm, aov, aovlist and lmer objects.

Authors:Jose Claudio Faria <[email protected]>, Enio G. Jelihovschi <[email protected]>, Ivan Bezerra Allaman <[email protected]>

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TukeyC/json (API)

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

Peer review:

Bug tracker:https://github.com/jcfaria/tukeyc/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:

4.79 score 4 stars 44 scripts 609 downloads 7 mentions 7 exports 45 dependencies

Last updated 1 years agofrom:352773e6f2. Checks:OK: 1 WARNING: 4 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-winWARNINGNov 15 2024
R-4.5-linuxWARNINGNov 15 2024
R-4.4-winWARNINGNov 15 2024
R-4.4-macWARNINGNov 15 2024
R-4.3-winNOTENov 15 2024
R-4.3-macNOTENov 15 2024

Exports:boxplot.TukeyCcvplot.TukeyCprint.TukeyCsummary.TukeyCTukeyCxtable.TukeyC

Dependencies:backportsbootbroomclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmicrobenchmarkmodelrmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrxtable