compositions (version 0.9-11)

plot.aplus: Displaying amounts in scatterplots

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))),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 of an amount class

...

further graphical parameters passed (see par)

add

a logical indicating whether the information should just be added to an existing plot. In case of false a new plot is created.

col

The color to plot the data.

labels

The 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 a the data should be centered prior to the plot. Centering is done in the choosen philosophy. See scale

scale

a logical indicating whether a the data should be scaled prior to the plot. Scaling is done in the choosen philosophy. See scale

pca

A logical indicating whether the first principle component should be displayed in the plot. Currently direction of the principle component of the displayed subcomposition is displayed as a line. Later on a the principle componenent of the

col.pca

The color to draw the principle component.

logscale

logical indication, whether logscale 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

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))