Scores of the fpcad function vs. moments of the densities
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.
interpret.fpcad(x, nscore = 1:3, moment = "mean")
object of class
numeric vector. Selects the columns of the data frame
Warning: Its components cannot be greater than the
characters string. Selects the moments to cross with scores:
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.
Returns a list including:
matrix of Pearson correlations between selected scores and moments.
matrix of Spearman correlations between selected scores and moments.
Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Sabine Demotes-Mainard.
Boumaza, R., Yousfi, S., Demotes-Mainard, S. (2015). Interpreting the principal component analysis of multivariate density functions. Communications in Statistics - Theory and Methods, 44 (16), 3321-3339.
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