R: Projections of Supplementary Rows

suprow {ade4} | R Documentation

## Projections of Supplementary Rows

### Description

This function performs a projection of supplementary rows (i.e. supplementary individuals).

### Usage

    ## S3 method for class 'coa'
    suprow(x, Xsup, ...)
    ## S3 method for class 'dudi'
    suprow(x, Xsup, ...)
    ## S3 method for class 'dudi'
    predict(object, newdata, ...)
    ## S3 method for class 'pca'
    suprow(x, Xsup, ...)
    ## S3 method for class 'acm'
    suprow(x, Xsup, ...)
    ## S3 method for class 'mix'
    suprow(x, Xsup, ...)
    ## S3 method for class 'fca'
    suprow(x, Xsup, ...)

### Arguments

`x, object` | an object of class `dudi`
`Xsup, newdata` | an array with the supplementary rows
`...` | further arguments passed to or from other methods

### Details

If `suprow.dudi` is used, the column vectors of Xsup are projected without prior modifications onto the principal components of dudi with the scalar product associated to the row weightings of dudi.

### Value

`predict` returns a data frame containing the coordinates of the supplementary rows. `suprow` returns a list with the transformed table `Xsup` in `tabsup` and the coordinates of the supplementary rows in `lisup`.

### Author(s)

Daniel Chessel
Anne-Béatrice Dufour anne-beatrice.dufour@univ-lyon1.fr

### References

Gower, J. C. (1967) Multivariate analysis and multivariate geometry. The statistician, 17, 13–28.

### Examples

    data(euro123)
    par(mfrow = c(2, 2))
    w <- euro123[[2]]
    dudi1 <- dudi.pca(w, scal = FALSE, scan = FALSE)

    if(adegraphicsLoaded()) {
      g11 <- s.arrow(dudi1$c1, psub.text = "Classical", psub.posi = "bottomright", plot = FALSE)
      g12 <- s.label(suprow(dudi1, w)$tabsup, plab.cex = 0.75, plot = FALSE)
      g1 <- superpose(g11, g12)

      g21 <- s.arrow(dudi1$c1, psub.text = "Without centring", psub.posi = "bottomright", plot = FALSE)
      g22 <- s.label(suprow(dudi1, w)$tabsup, plab.cex = 0.75, plot = FALSE)
      g2 <- superpose(g21, g22)

      g3 <- triangle.label(w, plab.cex = 0.75, label = row.names(w), adjust = FALSE, plot = FALSE)
      g4 <- triangle.label(w, plab.cex = 0.75, label = row.names(w), adjust = TRUE, plot = FALSE)

      G <- ADEgS(list(g1, g2, g3, g4), layout = c(2, 2))

    } else {
      s.arrow(dudi1$c1, sub = "Classical", possub = "bottomright", csub = 2.5)
      s.label(suprow(dudi1, w), add.plot = TRUE, clab = 0.75)

      s.arrow(dudi1$c1, sub = "Without centring", possub = "bottomright", csub = 2.5)
      s.label(suprow(dudi1, w), clab = 0.75, add.plot = TRUE)

      triangle.plot(w, clab = 0.75, label = row.names(w), scal = FALSE)
      triangle.plot(w, clab = 0.75, label = row.names(w), scal = TRUE)
    }

    data(rpjdl)
    rpjdl.coa <- dudi.coa(rpjdl$fau, scann = FALSE, nf = 4)
    rpjdl.coa$li[1:3, ]
    suprow(rpjdl.coa,rpjdl$fau[1:3, ])$lisup  #the same

    data(deug)
    deug.dudi <- dudi.pca(df = deug$tab, center = deug$cent, scale = FALSE, scannf = FALSE)
    suprow(deug.dudi, deug$tab[1:3, ])$lisup  #the supplementary individuals are centered
    deug.dudi$li[1:3, ]  # the same

[Package ade4 version 1.7-18 Index]