Graphs to study one factor in a Multiple Correspondence Analysis

Description

performs the canonical graph of a Multiple Correspondence Analysis.

Usage

```## S3 method for class 'acm':
score(x, xax = 1, which.var = NULL, mfrow = NULL,
sub = names(oritab), csub = 2, possub = "topleft", ...)
```

Arguments

 `x` an object of class `acm` `xax` the column number for the used axis `which.var` the numbers of the kept columns for the analysis, otherwise all columns `mfrow` a vector of the form "c(nr,nc)", otherwise computed by a special own function `n2mfrow` `sub` a vector of strings of characters to be inserted as sub-titles, otherwise the variable names of the initial array `csub` a character size for the sub-titles `possub` a string of characters indicating the sub-title position ("topleft", "topright", "bottomleft", "bottomright") `...` further arguments passed to or from other methods

Daniel Chessel

Examples

```data(banque)
banque.acm <- dudi.acm(banque, scann = FALSE, nf = 3)
score(banque.acm, which = which(banque.acm\$cr[,1] > 0.2), csub = 3)
```

Worked out examples

```
> ### Name: score.acm
> ### Title: Graphs to study one factor in a Multiple Correspondence Analysis
> ### Aliases: score.acm
> ### Keywords: multivariate hplot
>
> ### ** Examples
>
> data(banque)
> banque.acm <- dudi.acm(banque, scann = FALSE, nf = 3)
> score(banque.acm, which = which(banque.acm\$cr[,1] > 0.2), csub = 3)
```
```>
>
>
>
```