Package: PERMANOVA 0.2.0

PERMANOVA: Multivariate Analysis of Variance Based on Distances and Permutations

Calculates multivariate analysis of variance based on permutations and some associated pictorial representations. The pictorial representation is based on the principal coordinates of the group means. There are some original results that will be published soon.

Authors:Laura Vicente-Gonzalez, Jose Luis Vicente-Villardon

PERMANOVA_0.2.0.tar.gz
PERMANOVA_0.2.0.zip(r-4.5)PERMANOVA_0.2.0.zip(r-4.4)PERMANOVA_0.2.0.zip(r-4.3)
PERMANOVA_0.2.0.tgz(r-4.4-any)PERMANOVA_0.2.0.tgz(r-4.3-any)
PERMANOVA_0.2.0.tar.gz(r-4.5-noble)PERMANOVA_0.2.0.tar.gz(r-4.4-noble)
PERMANOVA_0.2.0.tgz(r-4.4-emscripten)PERMANOVA_0.2.0.tgz(r-4.3-emscripten)
PERMANOVA.pdf |PERMANOVA.html✨
PERMANOVA/json (API)

# Install 'PERMANOVA' in R:
install.packages('PERMANOVA', repos = c('https://laura20vg.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

33 exports 1 stars 6.17 score 17 dependencies 1 dependents 6.3k mentions 17 scripts 309 downloads

Last updated 3 years agofrom:7a521fe302. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 18 2024
R-4.5-winOKSep 18 2024
R-4.5-linuxOKSep 18 2024
R-4.4-winOKSep 18 2024
R-4.4-macOKSep 18 2024
R-4.3-winOKSep 18 2024
R-4.3-macOKSep 18 2024

Exports:AddClusterToBiplotBinaryVectorCheckBiplotVarBootDisMANOVABootDistCanonicalAnalysisCircle2ConcEllipseConstructContrastsCumsumDistBinaryDistContinuousFactorToBinaryGetScalesBiplotGinvinboxIniTransformMANOVAMANOVA.EstimationmgcOnesPERMANOVAPERMANOVA.EstimationPerMANOVA.Simpleplot.BootCanonAnalysisplot.ellipseplot.MANOVAplot.PERMANOVAPlotClustersBiplotPostHocCompProcrustesSimplesummary.BootDisMANOVATextSmartZeros

Dependencies:clicolorspacedeldirfarvergluelabelinglatticelifecycleMASSMatrixmunsellR6RColorBrewerrlangscalesviridisLitextable

Readme and manuals

Help Manual

Help pageTopics
Add Clusters to a Biplot ObjectAddClusterToBiplot
Checks if a vector is binaryBinaryVectorCheck
Draws a variable on a biplotBiplotVar
Multivariate Analysis of Variance based on Distances and BootstrapBootDisMANOVA
Canonical Analysis based on DistancesBootDistCanonicalAnalysis
Draws a circle.Circle2
Non-parametric concentration ellipsesConcEllipse
Construction of contrasts for several factorsConstructContrasts
Cumulative sumsCumsum
Distances for binary dataDistBinary
Distances among individuals with continuous dataDistContinuous
Connects two sets of points by linesDlines
Converts a Factor into its indicator matrixFactorToBinary
Calculates the scales for the variables on a linear biplotGetScalesBiplot
G inverseGinv
Checks if a point is inside a boxinbox
Initial transformation of a data matrixIniTransform
Multivariate Analysis of Variance (MANOVA)MANOVA
Estimation of the MANOVA parameters.MANOVA.Estimation
Mixture Gaussian Clusteringmgc
Matrix of onesOnes
PERMANOVA: MANOVA based on distancesPERMANOVA
Estimation of the PERMANOVA parametersPERMANOVA.Estimation
PERMANOVA from a matrix of distanciesPerMANOVA.Simple
Plots the principal coordinates of the group centers and the bootstrap confidence regionsplot.BootCanonAnalysis
Plot a concentration ellipseplot.ellipse
Plots the results of a MANOVA Biplotplot.MANOVA
Plots the results of a MANOVA Biplotplot.MANOVA.Biplot
Plots the results of the PERMANOVA functionplot.PERMANOVA
Plot clusters on a biplot.PlotClustersBiplot
Post Hoc pairwise comparisonsPostHocComp
Simple Procrustes AnalysisProcrustesSimple
Hunting Spiders Dataspiders
Hunting Spiders Dataspidersb
Summarizes the results of a Bootstrap Manova based on distancessummary.BootDisMANOVA
Labels of a ScatterTextSmart
Wine datawine
Matrix of zerosZeros