POCRE (version 0.6.0)

plot.pocre: Visualization of a pocre Object

Description

Plot the regression coefficients, and the loadings of all components for a fitted model by POCRE.

Usage

# S3 method for pocre
plot(x, x.id = NA, which=1:2, cex=.5, ...)

Arguments

x

a pocre object, i.e., the result from pocre.

x.id

a vector indicating the indices or positions of the covariates in the original data.

which

1 for plotting the regression coefficients, 2 for plotting the loadings of all components.

cex

A numerical value giving the amount by which plotting text and symbols should be magnified relative to the default, see par.

...

additional arguments accepted by ggplot.

References

Zhang D (2018). R package POCRE: Exploring high-dimensional data via supervised dimension reduction. Manuscript.

Zhang D, Lin Y, and Zhang M (2009). Penalized orthogonal-components regression for large p small n data. Electronic Journal of Statistics, 3: 781-796.

See Also

pocre, plot.pocrepath, pocrepath.

Examples

# NOT RUN {
data(simdata)
xx <- scale(as.matrix(simdata[,-1]))
yy <- scale(as.matrix(simdata[,1]))

##Fit with pocre()
pres <- pocre(yy, xx, lambda=0.9)

# plot(pres,which=1)
plot(pres)
# }