Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in 'Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.

Multivariate Analysis Using Biplots in R

package-ubuntu-20.04-r-4.0.5#cran#MultBiplotR-1.3.30

Molecular characteristics of 50 varieties of sugar cane.

A data frame with 50 observations on 168 variables. 1-120: Random aplified polymorphic DNA and 121-168: Microsatellites

Dta are codified as presence or absence of the dominant marker.

data(RAPD)
## maybe str(RAPD) ; plot(RAPD) ...

package-ubuntu-20.04-r-4.0.5#cran#MultBiplotR-1.3.30#docs#RAPD

RAPD

Description

Usage

Format

Details

Examples

MultBiplotR

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