tuckerR.mmgg (version 1.5.1)

diffit: Aplication of the Diffit method.

Description

The diffit method is used to apply when we need to know the axis number to be gathered in the P mode, and Q mode. The third mode, K it is related to the environment numbers. The diffit method consist on fitting each value with the Tuckle algorithm.

Usage

diffit(datos, amb = 2, stand = TRUE, niter = 10000)

Arguments

datos

datos original data from data frames

amb

numbers of environment

stand

a boolean value, if it is TRUE (value set by default) each variable is centered and scale by variable.

niter

the iteration number for the Tuckals algorithm, by default 10000 iteration.

Value

saldiffit a list with a combination numbers of axis, percentage of variability explained and Diffit rate. The critic value or threhold is also return.

Details

The final result is the model which has the most coefficient diffits the greatest variability explained and the one which exceed the threshold.

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.

Timmerman, M.E., and H. Kiers. 2000.

Three-mode principal components analysis. Choosing numbers of components and sensitivity to local optima. The British Journal of the Mahematical and Statistical Psychology 53: 1-16.

Examples

# NOT RUN {
#Copy and paste this example in your console without the comment
#data(maize_pop,package = "tuckerR.mmgg")
#dif_sal <- diffit(maize_pop,amb=2)
#print(dif_sal) the best combination is 3 3 2

# }