Description Usage Arguments Details Author(s) Examples

Gives a simple estimator of the quality of the (descriptive) synthesis performed by a wide range of multivariate analyses.

1 | ```
MVA.synt(x, rows = 5)
``` |

`x` |
a multivariate analysis (see Details). |

`rows` |
maximum number of axes to print in the output. |

Many multivariate analyses are supported, from various packages.

- PCA: `prcomp`

, `princomp`

, `dudi.pca`

, `rda`

, `pca`

, `pca`

: % of total variance explained by each axis.

- sPCA: `spca`

: % of total variance explained by each axis.

- IPCA: `ipca`

: kurtosis of each axis.

- sIPCA: `sipca`

: kurtosis of each axis.

- PCoA: `cmdscale`

(with `eig=TRUE`

), `dudi.pco`

, `wcmdscale`

(with `eig=TRUE`

), `capscale`

, `pco`

, `pcoa`

: % of total variance explained by each axis.

- nMDS: `monoMDS`

, `metaMDS`

, `nmds`

, `isoMDS`

: stress.

- RDA: `pcaiv`

, `pcaivortho`

, `rda`

: % of constrained and unconstrained total variance, % of constrained variance explained by constrained axes (`pcaiv`

and `rda`

), % of unconstrained variance explained by unconstrained axes (`pcaivortho`

and `rda`

).

- db-RDA (or CAP): `capscale`

, `dbrda`

: % of constrained and unconstrained total variance, % of constrained variance explained by constrained axes, % of unconstrained variance explained by unconstrained axes.

- COA: `dudi.coa`

, `cca`

: % of total inertia explained by each axis.

- CCA: `pcaiv`

, `cca`

: % of constrained and unconstrained total inertia, % of constrained inertia explained by constrained axes, % of unconstrained inertia explained by unconstrained axes (`cca`

only).

- CPPLS: `mvr`

: % of X and Y variances explained by each axis.

- PLSR: `mvr`

, `plsR`

(plsRglm package): % of X and Y variances explained by each axis (only Y for the moment with `plsR`

).

- 2B-PLS: `pls`

: % of X/Y square covariance explained by each pair of axes, correlation between each pair of axes (canonical correlations).

- CCorA: `CCorA`

, `rcc`

: correlation between each pair of axes (canonical correlations).

- rCCorA: `rcc`

: correlation between each pair of axes (canonical correlations).

- PCR: `mvr`

: % of X and Y variances explained by each axis.

- MCA: `dudi.acm`

: % of total inertia explained by each axis.

- Mix analysis: `dudi.mix`

, `dudi.hillsmith`

: % of total inertia explained by each axis.

- GPA: `GPA`

: % of consensus and residual variance, % of total variance exlained by each axis, % of consensus variance explained by each axis, % of residual variance coming from each group of variables.

- RGCCA: `rgcca`

, `wrapper.rgcca`

: % of total intra-block variance explained by each axis, correlation between each pair of axes (canonical correlations).

- DIABLO: `block.plsda`

, `block.splsda`

: % of total intra-block variance explained by each axis, correlation between each pair of axes (canonical correlations).

- CIA: `coinertia`

: RV coefficient, % of co-inertia explained by each pair of axes, correlation between each pair of axes (canonical correlations).

- PCIA: `procuste`

: m2.

Maxime Herv<e9> <maxime.herve@univ-rennes1.fr>

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