funGp (version 0.2.1)

plotPreds-generic: Plot for predictions of regression models

Description

This method displays the predicted output values delivered by some regression model. The plot might be constituted differently, depending on the type of model at hand.

Arguments

model

a model object for which the plot is to be made.

preds

data structure containing predictions. Depending on the type of model and the data structure used, it might also contain, for instance, the confidence bands at the prediction points.

...

additional arguments affecting the plot.

Value

None.

See Also

* plotPreds for the predictions plot of a funGp model.

Examples

# NOT RUN {
require(funGp) # a package with a plotPreds method implemented
# building the model
set.seed(100)
n.tr <- 25
sIn <- expand.grid(x1 = seq(0,1,length = sqrt(n.tr)), x2 = seq(0,1,length = sqrt(n.tr)))
fIn <- list(f1 = matrix(runif(n.tr*10), ncol = 10), f2 = matrix(runif(n.tr*22), ncol = 22))
sOut <- fgp_BB3(sIn, fIn, n.tr)
m1 <- fgpm(sIn = sIn, fIn = fIn, sOut = sOut)

# making predictions
n.pr <- 100
sIn.pr <- as.matrix(expand.grid(x1 = seq(0,1,length = sqrt(n.pr)),
                                x2 = seq(0,1,length = sqrt(n.pr))))
fIn.pr <- list(f1 = matrix(runif(n.pr*10), ncol = 10), matrix(runif(n.pr*22), ncol = 22))
m1.preds <- predict(m1, sIn.pr = sIn.pr, fIn.pr = fIn.pr)

# plotting predictions
plotPreds(m1, preds = m1.preds)

# }