plot.pelora: 2-Dimensional Visualization of Pelora's Output

In supclust: Supervised Clustering of Predictor Variables Such as Genes

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

## S3 method for class 'pelora'
plot(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, [e-mail]

See Also

pelora, also for references.

Examples

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

supclust documentation built on Sept. 27, 2021, 5:11 p.m.