# Printing results of a functional PCA of probability densities

### Description

Applies to an object of class `"fpcad"`

. Prints the numeric results returned by the `fpcad`

function.

### Usage

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### Arguments

`x` |
object of class |

`mean.print` |
logical. If |

`var.print` |
logical. If |

`cor.print` |
logical. If |

`skewness.print` |
logical. If |

`kurtosis.print` |
logical. If |

`digits` |
numeric. Number of significant digits for the display of numeric results. |

`...` |
optional arguments to |

### Details

By default, are printed the inertia explained by the `nb.values`

(see `fpcad`

) first principal components, the contributions, the qualities of representation of the densities along the `nb.factors`

(see `fpcad`

) first principal components, and the principal scores.

### 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

fpcad; plot.fpcad; interpret.fpcad; print.

### Examples

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