Scores of fmdsd, dstatis, fpcad, or fpcat vs. moments, or scores of mdsdd vs. marginal distributions or association measures
Scores of fmdsd, dstatis, fpcad, or fpcat vs. moments, or scores of mdsdd vs. marginal distributions or association measures
This generic function provides a tool for the interpretation of the results of fmdsd, dstatis, fpcad, fpcat or mdsdd function.
interpret(x, nscore =1:3,...)
Arguments
x: 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
nscore: 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).
Returns
Returns a list including: - pearson: matrix of Pearson correlations between selected scores and moments, probabilities or associations.
spearman: matrix of Spearman correlations between selected scores and moments, probabilities or associations.
References
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.
Author(s)
Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Sabine Demotes-Mainard