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]