# kplot.pta: Multiple Graphs for a Partial Triadic Analysis In ade4: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences

## Description

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

## Usage

 ```1 2 3 4``` ```## S3 method for class 'pta' kplot(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 : 1the projections of the principal axes 2the projections of the rows 3the projections of the columns 4the 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

Daniel Chessel

## Examples

 ```1 2 3 4 5 6 7 8``` ```data(meaudret) wit1 <- wca(dudi.pca(meaudret\$spe, scan = FALSE, scal = FALSE), meaudret\$design\$season, 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) kplot(pta1, which.graph = 3) ```

### Example output

```
```

ade4 documentation built on Dec. 17, 2017, 9:09 a.m.