kplot.pta {ade4} | R Documentation

## Multiple Graphs for a Partial Triadic Analysis

### Description

performs high level plots of a Partial Triadic Analysis, using an object of class `pta`.

### Usage

    kplot.pta(object, xax = 1, yax = 2, which.tab = 1:nrow(object$RV),
        mfrow = NULL, which.graph = 1:4, clab = 1, cpoint = 2, csub = 2,
        possub = "bottomright", ask = par("ask"), ...)

### Arguments

`object` | an object of class `pta`
`xax, yax` | the numbers of the x-axis and the y-axis
`which.tab` | a numeric vector containing the numbers of the tables to analyse
`mfrow` | parameter of the array of figures to be drawn, otherwise the graphs associated to a table are drawn on the same row
`which.graph` | an option for drawing, an integer between 1 and 4. For each table of which.tab, are drawn : 1 the projections of the principal axes 2 the projections of the rows 3 the projections of the columns 4 the projections of the principal components onto the planes of the compromise
`clab` | a character size for the labels
`cpoint` | a character size for plotting the points, used with `par("cex")`*cpoint. If zero, no points are drawn.
`csub` | a character size for the sub-titles, used with `par("cex")*csub`
`possub` | a string of characters indicating the sub-title position ("topleft", "topright", "bottomleft", "bottomright")
`ask` | a logical value indicating if the graphs requires several arrays of figures
`...` | further arguments passed to or from other methods

### Author(s)

Daniel Chessel chessel@biomserv.univ-lyon1.fr

### Examples

    data(meaudret)
    wit1 <- within(dudi.pca(meaudret$fau, scan = FALSE, scal = FALSE),
        meaudret$plan$dat, scan = FALSE)
    kta1 <- ktab.within(wit1, colnames = rep(c("S1","S2","S3","S4","S5"), 4))
    kta2 <- t(kta1) ; pta1 <- pta(kta2, scann = FALSE)
    kplot(pta1, clab = 1.5, csub = 3)
    kplot(pta1, clab = 1.5, csub = 3, which.graph = 3, mfrow = c(2,2))

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