Scores of the fpcad function vs. moments of the densities
Description
Applies to an object of class fpcad
, plots the principal scores vs. the moments of the densities (means, standard deviations, variances, correlations, skewness and kurtosis coefficients), and computes the correlations between these scores and moments.
Usage
1  interpret.fpcad(x, nscore = 1:3, moment = "mean")

Arguments
x 
object of class 
nscore 
numeric vector. Selects the columns of the data frame Warning: Its components cannot be greater than the 
moment 
characters string. Selects the moments to cross with scores:

Details
A new graphics device is opened for each score column. A device can contain up to 9 graphs. If there are too many (more than 36) graphs for each score, a multipage PDF file is created in the current working directory, and the graphs are displayed in it.
The number of principal scores to be interpreted cannot be greater than nb.factors
of the data frame x$scores
returned by the function fpcad.
Value
Returns a list including:
pearson 
matrix of Pearson correlations between selected scores and moments. 
spearman 
matrix of Spearman correlations between selected scores and moments. 
Author(s)
Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Sabine DemotesMainard.
References
Boumaza, R., Yousfi, S., DemotesMainard, S. (2015). Interpreting the principal component analysis of multivariate density functions. Communications in Statistics  Theory and Methods, 44 (16), 33213339.
See Also
fpcad; plot.fpcad.
Examples
1 2 3 4 5 6  data(roses)
result1 = fpcad(roses[,c("Sha","Den","Sym","Lot")])
interpret.fpcad(result1)
interpret.fpcad(result1, moment = "var")
interpret.fpcad(result1, moment = "cor")
interpret.fpcad(result1, nscore = 1:2)
