funGp (version 0.2.2)

plotSims: Plot for simulations of random processes

Description

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

Usage

plotSims(model, sims, ...)

Arguments

model

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

sims

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

...

additional arguments affecting the plot.

Value

None.

See Also

* plotSims for the simulations plot of a funGp model.

Examples

# NOT RUN {
require(funGp) # a package with a plotSims 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 simulations
n.sm <- 100
sIn.sm <- as.matrix(expand.grid(x1 = seq(0,1,length = sqrt(n.sm)),
                                x2 = seq(0,1,length = sqrt(n.sm))))
fIn.sm <- list(f1 = matrix(runif(n.sm*10), ncol = 10), matrix(runif(n.sm*22), ncol = 22))
m1.sims <- simulate(m1, nsim = 10, sIn.sm = sIn.sm, fIn.sm = fIn.sm)

# plotting simulations
plotSims(m1, m1.sims)

# }