R: Pair of Variables

chats {ade4} | R Documentation

## Pair of Variables

### Description

This data set is a contingency table of age classes and fecundity classes of cats Felis catus.

### Usage

    data(chats)

### Format

`chats` is a data frame with 8 rows and 8 columns.
The 8 rows are age classes (age1, ..., age8).
The 8 columns are fecundity classes (f0, f12, f34, ..., fcd).
The values are cats numbers (contingency table).

### Source

Legay, J.M. and Pontier, D. (1985) Relation âge-fécondité dans les populations de Chats domestiques, Felis catus. Mammalia, 49, 395–402.

### Examples

    data(chats)
    chatsw <- as.table(t(chats))
    chatscoa <- dudi.coa(data.frame(t(chats)), scann = FALSE)

    if(adegraphicsLoaded()) {
      g1 <- table.value(chatsw, ppoints.cex = 1.3, meanX = TRUE, ablineX = TRUE, plabel.cex = 1.5,
        plot = FALSE)
      g2 <- table.value(chatsw, ppoints.cex = 1.3, meanY = TRUE, ablineY = TRUE, plabel.cex = 1.5,
        plot = FALSE)
      g3 <- table.value(chatsw, ppoints.cex = 1.3, coordsx = chatscoa$c1[,
      1], coordsy = chatscoa$l1[, 1], meanX = TRUE, ablineX = TRUE, plot = FALSE)
      g4 <- table.value(chatsw, ppoints.cex = 1.3, meanY = TRUE, ablineY = TRUE,
        coordsx = chatscoa$c1[, 1], coordsy = chatscoa$l1[, 1], plot = FALSE)
      G <- ADEgS(list(g1, g2, g3, g4), layout = c(2, 2))

    } else {
      par(mfrow = c(2, 2))
      table.cont(chatsw, abmean.x = TRUE, csi = 2, abline.x = TRUE, clabel.r = 1.5, clabel.c = 1.5)
      table.cont(chatsw, abmean.y = TRUE, csi = 2, abline.y = TRUE, clabel.r = 1.5, clabel.c = 1.5)
      table.cont(chatsw, x = chatscoa$c1[, 1], y = chatscoa$l1[, 1], abmean.x = TRUE, csi = 2,
        abline.x = TRUE, clabel.r = 1.5, clabel.c = 1.5)
      table.cont(chatsw, x = chatscoa$c1[, 1], y = chatscoa$l1[, 1], abmean.y = TRUE, csi = 2,
        abline.y = TRUE, clabel.r = 1.5, clabel.c = 1.5)
      par(mfrow = c(1, 1))
    }

[Package ade4 version 1.7-16 Index]