discrimin {ade4} | R Documentation

## Linear Discriminant Analysis (descriptive statistic)

### Description

performs a linear discriminant analysis.

### Usage

    discrimin(dudi, fac, scannf = TRUE, nf = 2)
    plot.discrimin (x, xax = 1, yax = 2, ...)
    print.discrimin (x, ...)

### Arguments

`dudi` | a duality diagram, object of class `dudi`
`fac` | a factor defining the classes of discriminant analysis
`scannf` | a logical value indicating whether the eigenvalues bar plot should be displayed
`nf` | if scannf FALSE, an integer indicating the number of kept axes
`x` | an object of class 'discrimin'
`xax` | the column number of the x-axis
`yax` | the column number of the y-axis
`...` | further arguments passed to or from other methods

### Value

returns a list of class 'discrimin' containing :

`nf` | a numeric value indicating the number of kept axes
`eig` | a numeric vector with all the eigenvalues
`fa` | a matrix with the loadings: the canonical weights
`li` | a data frame which gives the canonical scores
`va` | a matrix which gives the cosines between the variables and the canonical scores
`cp` | a matrix which gives the cosines between the components and the canonical scores
`gc` | a data frame which gives the class scores

### Author(s)

Daniel Chessel chessel@biomserv.univ-lyon1.fr

### See Also

`lda` in package `MASS`

### Examples

    data(chazeb)
    dis1 <- discrimin(dudi.pca(chazeb$tab, scan = FALSE), chazeb$cla,
        scan = FALSE)
    dis1
    plot(dis1)

    data(skulls)
    plot(discrimin(dudi.pca(skulls, scan = FALSE), gl(5,30),
        scan = FALSE))

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