plot.aplus {compositions} | R Documentation

## Displaying amounts in scatterplots

### Description

### Usage

      ## S3 method for class 'aplus':
      plot(x,...,labels=colnames(X),cn=colnames(X),
                         aspanel=FALSE,id=FALSE,idlabs=NULL,idcol=2,
                         center=FALSE,scale=FALSE,pca=FALSE,col.pca=par("col"),
                         add=FALSE,logscale=TRUE,col=par("col"))
      ## S3 method for class 'rplus':
      plot(x,...,labels=colnames(X),cn=colnames(X),
                         aspanel=FALSE,id=FALSE,idlabs=NULL,idcol=2,
                         center=FALSE,scale=FALSE,pca=FALSE,col.pca=par("col"),
                         add=FALSE,logscale=FALSE,
                         xlim=apply(X,2,function(x) c(0,max(x, na.rm = TRUE))),
                         ylim=xlim,col=par("col"))
      ## S3 method for class 'rmult':
      plot(x,...,labels=colnames(X),cn=colnames(X),
                         aspanel=FALSE,id=FALSE,idlabs=NULL,idcol=2,
                         center=FALSE,scale=FALSE,pca=FALSE,col.pca=par("col"),
                         add=FALSE,logscale=FALSE,col=par("col"))

### Arguments

`x` | a dataset with class aplus, rplus or rmult
`...` | further graphical parameters passed (see `par`)
`add` | a logical indicating whether the information should just be added to an existing plot. If FALSE, a new plot is created
`col` | the color to plot the data
`labels` | the labels for names of the parts
`cn` | the names of the parts to be used in a single panel. Internal use only
`aspanel` | logical indicating that only a single panel should be drawn and not the whole plot. Internal use only
`id` | a logical. If TRUE one can identify the points like with the `identify` command
`idlabs` | A character vector providing the labels to be used with the identification, when `id=TRUE`
`idcol` | color of the `idlabs` labels
`center` | a logical indicating whether the data should be centered prior to the plot. Centering is done in the chosen geometry. See `scale`
`scale` | a logical indicating whether the data should be scaled prior to the plot. Scaling is done in the chosen geometry. See `scale`
`pca` | a logical indicating whether the first principal component should be displayed in the plot. Currently, the direction of the principal component of the displayed subcomposition is displayed as a line. In a future, the projected principal componenent of the whole dataset should be displayed.
`col.pca` | the color to draw the principal component.
`logscale` | logical indicating whether a log scale should be used
`xlim` | 2xncol(x)-matrix giving the xlims for the columns of x
`ylim` | 2xncol(x)-matrix giving the ylims for the columns of x

### Details

TO DO: fix pca bug

### Author(s)

K.Gerald v.d. Boogaart http://www.stat.boogaart.de

### See Also

`plot.aplus`, `qqnorm.acomp`,`boxplot.acomp`

### Examples

    data(SimulatedAmounts)
    plot(aplus(sa.lognormals))
    plot(rplus(sa.lognormals))
    plot(aplus(sa.lognormals5))
    plot(rplus(sa.lognormals5))

[Package compositions version 0.91-6 Index]