Adds concentration ellipses to the individuals factor map of a correspondence analysis.

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`resmca` |
object of class |

`var` |
supplementary variable to plot |

`sel` |
numeric vector of indexes of the categories to plot (by default, ellipses are plotted for every categories) |

`col` |
vector of colors for the ellipses of plotted categories (by default, rainbow palette is used) |

`axes` |
length 2 vector specifying the components to plot (default is c(1,2)) |

`cex` |
numerical value giving the amount by which ellipse contour should be magnified (default is 0.2) |

This function has to be used after the cloud of individuals has been drawn.

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).

`plot.speMCA`

, `plot.csMCA`

, `plot.multiMCA`

, `plot.stMCA`

1 2 3 4 5 6 7 8 9 10 11 | ```
## Performs specific MCA (excluding 'NA' categories) of 'Taste' example data set,
## plots the cloud of categories
## and adds concentration ellipses for gender variable
data(Taste)
mca <- speMCA(Taste[,1:11],excl=c(3,6,9,12,15,18,21,24,27,30,33))
plot(mca,type='i')
conc.ellipse(mca,Taste$Gender)
## Draws a blue concentration ellipse for men only
plot(mca,type='i')
conc.ellipse(mca,Taste$Gender,sel=1,col='blue')
``` |

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