plotX: Diagnostic plot for quality-enhanced models

Description Usage Arguments Value See Also Examples

Description

This method provides plots for assessing the quality of regression models whose structure have been somehow optimized for predictability.

Usage

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plotX(x.model, ...)

Arguments

x.model

an object containing the model for which the quality plot is to be made.

...

additional arguments affecting the plot.

Value

None.

See Also

* plotX for the diagnostic plot of a quality-enhanced funGp model.

Examples

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require(funGp) # a package with a plotX method implemented

# generating input and output data
set.seed(100)
n.tr <- 2^5
sIn <- expand.grid(x1 = seq(0,1,length = n.tr^(1/5)), x2 = seq(0,1,length = n.tr^(1/5)),
                   x3 = seq(0,1,length = n.tr^(1/5)), x4 = seq(0,1,length = n.tr^(1/5)),
                   x5 = seq(0,1,length = n.tr^(1/5)))
fIn <- list(f1 = matrix(runif(n.tr*10), ncol = 10), f2 = matrix(runif(n.tr*22), ncol = 22))
sOut <- fgp_BB7(sIn, fIn, n.tr)
## Not run: 
# optimizing the model structure with fgpm_factory (~5 seconds)
xm <- fgpm_factory(sIn = sIn, fIn = fIn, sOut = sOut)

# assessing the quality of the model - absolute and w.r.t. the other explored models
plotX(xm)

## End(Not run)

funGp documentation built on July 22, 2021, 9:07 a.m.