plot.aplus {compositions} | R Documentation |
## 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"))
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 |
TO DO: fix pca bug
K.Gerald v.d. Boogaart http://www.stat.boogaart.de
plot.aplus
,
qqnorm.acomp
,boxplot.acomp
data(SimulatedAmounts) plot(aplus(sa.lognormals)) plot(rplus(sa.lognormals)) plot(aplus(sa.lognormals5)) plot(rplus(sa.lognormals5))