fmdsd, dstatis, fpcad, or fpcat vs. moments, or scores of mdsdd vs. marginal distributions or association measuresThis generic function provides a tool for the interpretation of the results of fmdsd, dstatis, fpcad, fpcat or mdsdd function.
interpret(x, nscore = 1:3, ...)Returns a list including:
matrix of Pearson correlations between selected scores and moments, probabilities or associations.
matrix of Spearman correlations between selected scores and moments, probabilities or associations.
object of class fmdsd, dstatis, fpcad, fpcat or mdsdd.
fmdsd: see interpret.fmdsd
dstatis: see interpret.dstatis
fpcad: see interpret.fpcad
fpcat: see interpret.fpcat
mdsdd: see interpret.mdsdd
numeric vector. Selects the columns of the data frame x$scores to be interpreted.
Warning: Its components cannot be greater than the nb.factors argument in the call of the fpcad or fpcat function.
Arguments to be passed to the methods, such as moment (for interpret.fmdsd, interpret.dstatis,
interpret.fpcad and interpret.fpcat), or mma (for interpret.mdsdd).
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.
interpret.fmdsd; interpret.dstatis; interpret.fpcad; interpret.fpcat; interpret.mdsdd.