interpret function

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

See Also

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

  • Maintainer: Pierre Santagostini
  • License: GPL (>= 2)
  • Last published: 2024-11-22