# Describes the test-values of a list of supplementary variables for the axes of MCA and variants of MCA

### Description

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

### Usage

1 |

### Arguments

`resmca` |
object of class |

`l` |
a list of supplementary variables |

`n` |
a vector of names for the supplementary variables. The vector's length must be equal to |

`dim` |
the axes for which eta2 are computed. Default is 1:ncp |

### Details

Test-values are ordered and only those higher than 2.58 (or lower than -2.58) are kept.

### Value

Returns a list of data frames giving the test-values of the supplementary categories for the different axes.

### Author(s)

Nicolas Robette

### References

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).

### See Also

`dimdesc`

, `dimdesc.MCA`

, `dimeta2`

, `dimcontrib`

, `condes`

, `speMCA`

, `csMCA`

### Examples

1 2 3 4 5 6 7 | ```
## Performs a specific MCA on 'Music' example data set
## ignoring every 'NA' (i.e. 'not available') categories,
## and then describes the test-values 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))
dimvtest(mca,list(Music$Gender,Music$Age),c('Gender','Age'),dim=1:2)
``` |