Package: HDANOVA 0.8.2.1

HDANOVA: High-Dimensional Analysis of Variance

Functions and datasets to support Smilde, Marini, Westerhuis and Liland (2025, ISBN: 978-1-394-21121-0) "Analysis of Variance for High-Dimensional Data - Applications in Life, Food and Chemical Sciences". This implements and imports a collection of methods for HD-ANOVA data analysis with common interfaces, result- and plotting functions, multiple real data sets and four vignettes covering a range different applications.

Authors:Kristian Hovde Liland [aut, cre]

HDANOVA_0.8.2.1.tar.gz
HDANOVA_0.8.2.1.zip(r-4.5)HDANOVA_0.8.2.1.zip(r-4.4)HDANOVA_0.8.2.1.zip(r-4.3)
HDANOVA_0.8.2.1.tgz(r-4.5-any)HDANOVA_0.8.2.1.tgz(r-4.4-any)HDANOVA_0.8.2.1.tgz(r-4.3-any)
HDANOVA_0.8.2.1.tar.gz(r-4.5-noble)HDANOVA_0.8.2.1.tar.gz(r-4.4-noble)
HDANOVA_0.8.2.1.tgz(r-4.4-emscripten)HDANOVA_0.8.2.1.tgz(r-4.3-emscripten)
HDANOVA.pdf |HDANOVA.html✨
HDANOVA/json (API)
NEWS

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

Bug tracker:https://github.com/khliland/hdanova/issues

Pkgdown site:https://khliland.github.io

Datasets:
  • caldana - Arabidopsis thaliana growth experiment
  • candies - Sensory assessment of candies.

On CRAN:

4.32 score 1 packages 8 scripts 423 downloads 34 exports 78 dependencies

Last updated 5 days agofrom:2b996e9ccd. Checks:1 ERROR, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesFAILFeb 13 2025
R-4.5-winWARNINGFeb 13 2025
R-4.5-macWARNINGFeb 13 2025
R-4.5-linuxWARNINGFeb 13 2025
R-4.4-winWARNINGFeb 13 2025
R-4.4-macWARNINGFeb 13 2025
R-4.3-winWARNINGFeb 13 2025
R-4.3-macWARNINGFeb 13 2025

Exports:apcaascablock.data.framecoefplotcvsegmentsdummycodeextended.model.frameextract_estimateshdanovalimmpcaloading.weightsloadingplotloadingsmscaMSEPmvrValstatspcanovapcrpermanovapermutationpermutationplotplsrprcpredplotprojectionsR2RMSEPscascoreplotscoressignfliptimeplotupdate_without_factorvalidationplot

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11crayonDerivdoBydplyrfansifarverFormulagenericsggplot2gluegtablehmsisobandlabelinglatticeleapslifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamixlmmodelrmultcompmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplspracmaprettyunitsprogresspurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangRSpectrasandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselectutf8vctrsviridisLitewithrzoo

Readme and manuals

Help Manual

Help pageTopics
ANOVA Principal Component Analysis - APCAapca
Analysis of Variance Simultaneous Component Analysis - ASCAasca
ASCA Plot Methodsasca_plots loadingplot.asca permutationplot scoreplot.asca
ASCA Result Methodsasca_results loadings.asca print.asca print.hdanova print.summary.asca print.summary.hdanova projections projections.asca scores.asca summary.asca summary.hdanova
Biplot for ASCA modelsbiplot.asca
Block-wise indexable data.frameblock.data.frame
Arabidopsis thaliana growth experimentcaldana
Sensory assessment of candies.candies
Dummy-coding of a single vectordummycode
Extracting the Extended Model Frame from a Formula or Fitextended.model.frame
Extract estimates for a given factor combinationextract_estimates
High-Dimensional Analysis of Variancehdanova
Linear Mixed Model PCAlimmpca
Model Frame and Model Matrix for ASCA-like Modelsmodel.frame.asca model.matrix.asca
Multilevel Simultaneous Component Analysis - MSCAmsca
Principal Components Analysis of Variance Simultaneous Component Analysis - PC-ANOVApcanova
PC-ANOVA Result Methodsloadingplot.pcanova pcanova_plots scoreplot.pcanova
PC-ANOVA Result Methodspcanova_results print.pcanova print.summary.pcanova projections.pcanova summary.pcanova
Permutation Based MANOVA - PERMANOVApermanova
Permutation for HDANOVApermutation
Principal Response Curvesprc
Simultaenous Component Analysissca
Flip signs of a component/factor combination in a SCA/PCA objectsignflip
Timeplot for Combined Effectstimeplot
Update a Model without Factorupdate_without_factor