plot.pelora {supclust}R Documentation

2-Dimensional Visualization of Pelora's Output

Description

Yields a projection of the cases (for example n gene expression profiles) into the space of the first two gene group centroids that were identified by pelora.

Usage

plot.pelora(x, main = "2-Dimensional Projection Pelora's output",
            xlab = NULL, ylab = NULL, col = seq(x$yvals), ...)

Arguments

x An R object of class "pelora", typically the result of pelora().
main A character string, giving the title of the plot.
xlab A character string, giving the annotation of the x-axis.
ylab A character string, giving the annotation of the x-axis.
col A numeric vector of length 2, coding the colors that will be used for plotting the class labels.
... Further arguments passed to and from methods.

Author(s)

Marcel Dettling, dettling@stat.math.ethz.ch

References

Marcel Dettling (2003) Finding Groups of Predictive Genes from Microarray Data, see http://stat.ethz.ch/~dettling/supervised.html

Marcel Dettling and Peter Bühlmann (2004). Finding Predictive Gene Groups from Microarray Data. To appear in the Journal of Multivariate Analysis.

See Also

pelora

Examples

 ## Running the examples of Pelora's help page
 example(pelora, echo = FALSE)
 plot(fit)

[Package supclust version 1.0-5 Index]