interpret: Scores of 'fmdsd', 'dstatis', 'fpcad', or 'fpcat' vs....

In dad: Three-Way / Multigroup Data Analysis Through Densities

Scores of fmdsd, dstatis, fpcad, or fpcat vs. moments, or scores of mdsdd vs. marginal distributions or association measures

Description

This generic function provides a tool for the interpretation of the results of fmdsd, dstatis, fpcad, fpcat or mdsdd function.

Usage

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).

Value

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.

Author(s)

Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Sabine Demotes-Mainard

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.

See Also

interpret.fmdsd; interpret.dstatis; interpret.fpcad; interpret.fpcat; interpret.mdsdd.

dad documentation built on Aug. 30, 2023, 5:06 p.m.