Package: biplotEZ 2.2

biplotEZ: EZ-to-Use Biplots

Provides users with an EZ-to-use platform for representing data with biplots. Currently principal component analysis (PCA), canonical variate analysis (CVA) and simple correspondence analysis (CA) biplots are included. This is accompanied by various formatting options for the samples and axes. Alpha-bags and concentration ellipses are included for visual enhancements and interpretation. For an extensive discussion on the topic, see Gower, J.C., Lubbe, S. and le Roux, N.J. (2011, ISBN: 978-0-470-01255-0) Understanding Biplots. Wiley: Chichester.

Authors:Sugnet Lubbe [aut, cre, cph], Niël le Roux [aut], Johané Nienkemper-Swanepoel [aut], Raeesa Ganey [aut], Ruan Buys [aut], Zoë-Mae Adams [aut], Peter Manefeldt [aut]

biplotEZ_2.2.tar.gz
biplotEZ_2.2.zip(r-4.5)biplotEZ_2.2.zip(r-4.4)biplotEZ_2.2.zip(r-4.3)
biplotEZ_2.2.tgz(r-4.4-x86_64)biplotEZ_2.2.tgz(r-4.4-arm64)biplotEZ_2.2.tgz(r-4.3-x86_64)biplotEZ_2.2.tgz(r-4.3-arm64)
biplotEZ_2.2.tar.gz(r-4.5-noble)biplotEZ_2.2.tar.gz(r-4.4-noble)
biplotEZ_2.2.tgz(r-4.4-emscripten)biplotEZ_2.2.tgz(r-4.3-emscripten)
biplotEZ.pdf |biplotEZ.html✨
biplotEZ/json (API)

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

Peer review:

Bug tracker:https://github.com/muvisu/biplotez/issues

On CRAN:

7.88 score 7 stars 26 scripts 269 downloads 31 exports 2 dependencies

Last updated 8 days agofrom:8b2ec9ae08. Checks:OK: 3 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-win-x86_64OKNov 13 2024
R-4.5-linux-x86_64OKNov 13 2024
R-4.4-win-x86_64NOTENov 13 2024
R-4.4-mac-x86_64NOTENov 13 2024
R-4.4-mac-aarch64NOTENov 13 2024
R-4.3-win-x86_64NOTENov 13 2024
R-4.3-mac-x86_64NOTENov 13 2024
R-4.3-mac-aarch64NOTENov 13 2024

Exports:alpha.bagsAoDaxesaxes_coordinatesbiplotCACATPCAclassificationclassifyCLPsCLRsCVAdensity1Ddensity2Dellipsesextended.matching.coefficientfit.measuresinterpolatelegend.typemeansnewaxesnewsamplesPCAPCOpredictionreflectregressrotatesamplessqrtManhattantranslate_axes

Dependencies:plotrixwithr

biplotEZ

Rendered frombiplotEZ.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-11-05
Started: 2023-10-19

biplotEZ enhancements

Rendered frombiplotEZ_enhancements.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-07-04
Started: 2024-07-04

Biplots in 1D

Rendered fromBiplots_in_1D.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-11-05
Started: 2024-07-04

Biplots in 3D

Rendered fromBiplots_in_3D.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-11-05
Started: 2024-05-21

CA in biplotEZ

Rendered fromCA_in_biplotEZ.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-11-13
Started: 2024-07-04

Class separation

Rendered fromClass_separation.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-09-04
Started: 2023-11-14

MDS

Rendered fromMDS.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-07-04
Started: 2024-07-04

Readme and manuals

Help Manual

Help pageTopics
Create alpha bagsalpha.bags
Use the Analysis of Distance (AoD) method to construct the biplotAoD
Calculate elements for the Analysis of Distance (AoD) biplotAoD.biplot
Format aesthetics for the biplot axesaxes
Calibrate Biplot Axesaxes_coordinates
First step to create a new biplot with 'biplotEZ'biplot
biplotEZ: EZ-to-Use BiplotsbiplotEZ
Correspondence Analysis (CA) methodCA
CA biplotCA.biplot
Categorical Principal Component AnalysisCATPCA
Classification biplot methodclassification
classification biplotclassification.biplot
Classify samples into classesclassify
Format aesthetics for the category level pointsCLPs
Format aesthetics for the category level regionsCLRs
Perform Canonical Variate Analysis (CVA)CVA
Calculate elements for the CVA biplotCVA.biplot
Construct additional dimensions when the dimension of the canonical space is smaller than the dimension of the biplotCVAlowdim
Creates a kernel density in 1-dimensiondensity1D
Create a density in 2-dimensionsdensity2D
Concentration ellipses (kappa-ellipses)ellipses
Extended matching coefficientextended.matching.coefficient
Compute measures of fit for the biplot.fit.measures
Interpolate supplementary points and variables to add to the biplotinterpolate
Format the legend for the biplotlegend.type
Format aesthetics for the class or group meansmeans
Format aesthetics for the supplementary (new) biplot axesnewaxes
Format aesthetics for the supplementary (new) biplot samplesnewsamples
Perform Principal Components Analysis (PCA)PCA
Calculate elements for the PCA biplotPCA.biplot
Principal Coordinate Analysis (PCO) biplot methodPCO
PCO biplotPCO.biplot
Generic Plotting function of objects of class biplotplot.biplot
Predict samples to display on the biplotprediction
Generic print function for objects of class biplotprint.biplot
Reflect the biplot about a chosen axisreflect
Regression biplot methodregress
Regression biplotregress.biplot
Rotate the biplot a chosen amount of degreesrotate
Format aesthetics for the biplot samplessamples
Computes the square root of the Manhattan distance An example of a Euclidean embeddable distance metricsqrtManhattan
Generic summary function for objects of class biplotsummary.biplot
Translate biplot axestranslate_axes