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.