plot: Plot an interactive Biplot

In tuckerR.mmgg: Three-Mode Principal Components Analysis

Description

The interactive Biplot consists of combining two of the modes, obtaining markers for the individuals and vectors for the variables that were concatenated with the conditions. To plot the interactive Biplot this function need the output for the tucker2R function.

Usage

plot(saltuck, ...)

## S3 method for class 'marta'
plot(saltuck)

Arguments

saltuck	is a list with the results of the algorithm to plot the biplot, where the names of the conditions are well kept.
...	Arguments to be passed to plot.

Details

The interactive Biplot allows for the visualization of the inter structure of the differents data tables.

Value

NULL

Author(s)

Marta Marticorena, Gustavo Gimenez, Cecilia Gonzalez, Sergio Bramardi

References

MARTICORENA, M.; BRAMARDI, S.; DEFACIO, R. 2010.

Characterization of maize populations in different environmental conditions by means of Three Mode Principal Components Analysis. Revista Ciencia e Investigacion Agraria. 37(3): 93-105.

Gabriel, K.R. 1971.

The biplot graphic display of matrices with appications to principal components analysis. Biometrika. 58, 453-467.

Examples

data(maize_pop,package = "tuckerR.mmgg")
prueba1 <- tucker2R(maize_pop, amb=2, stand=TRUE, nc1=3, nc2=3)
plot(prueba1)

tuckerR.mmgg documentation built on May 1, 2019, 11:22 p.m.