plot.cv.fa: Plot method for cross validated error of a 'fusedanova' model

In fusedanova: Fused-ANOVA

Description

Produce a plot of the cross validated error of a fusedanova model.

Usage

\S4method{plot}{cv.fa}(x, y, varvect = NULL, plotting=TRUE,
lambdamins=TRUE, log.scale=TRUE, reverse=FALSE,main = "Cross-validation error",...)

Arguments

x	output of a crossval run (must be of class cv.fa).
y	used for S4 compatibility.
varvect	integer vector; give the index of all variables to plot separately. By default, varvect is NULL and the plot returns the plot of the global attribute of a cv.fa instance.
plotting	logical; indicates if the graph should be plotted. Default is TRUE.
lambdamins	logical; should the distribution of lambdamin be plotted ?
log.scale	logical; indicates if a log-scale should be used
reverse	logical; should the X-axis by reversed when xvar=lambda? Default is FALSE. Ignored for 2D cross-validation plot.
main	the main title, with a hopefully appropriate default definition.
...	used for S4 compatibility.

Value

a ggplot2 object or a list of ggplot2 objects (if a list of variable was provided) which can be plotted via the print method

See Also

cv.fa.

Examples

## Not run: 
data(aves)
cv.out <- cv.fa(aves$weight, aves$family)
V100.cv.out <- cv.fa(aves$weight, aves$family, V=50)
plot(cv.out)
plot(V100.cv.out)

## End(Not run)

fusedanova documentation built on May 2, 2019, 4:32 p.m.