dimeta2 | R Documentation |

Computes eta2 for a list of supplementary variables. It allows to analyze variants of MCA, such as 'specific' MCA or 'class specific' MCA.

dimeta2(resmca, vars, dim = c(1,2))

`resmca` |
object of class |

`vars` |
a data frame of supplementary variables |

`dim` |
the axes for which eta2 are computed. Default is c(1,2) |

Returns a data frame with supplementary variables as rows and axes as columns.

Nicolas Robette

Le Roux B. and Rouanet H., *Multiple Correspondence Analysis*, SAGE, Series: Quantitative Applications in the Social Sciences, Volume 163, CA:Thousand Oaks (2010).

Le Roux B. and Rouanet H., *Geometric Data Analysis: From Correspondence Analysis to Stuctured Data Analysis*, Kluwer Academic Publishers, Dordrecht (June 2004).

`dimdesc`

, `dimdescr`

, `dimcontrib`

, `condes`

, `speMCA`

, `csMCA`

, `dimtypicality`

## Performs a specific MCA on 'Music' example data set ## ignoring every 'NA' (i.e. 'not available') categories, ## and then describes the eta2 for Gender and Age (axes 1 and 2). data(Music) getindexcat(Music[,1:5]) mca <- speMCA(Music[,1:5],excl=c(3,6,9,12,15)) dimeta2(mca, Music[,c("Gender","Age")])

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