simulate,NoiseKMmethod  R Documentation 
NoiseKM
ObjectThe simulate
method is used to simulate paths from the
kriging model described in object
.
## S4 method for signature 'NoiseKM' simulate( object, nsim = 1, seed = NULL, newdata, cond = TRUE, nugget.sim = 0, checkNames = FALSE, ... )
object 
A 
nsim 
Integer: number of response vectors to simulate. 
seed 
Random seed. 
newdata 
Numeric matrix with it rows giving the points where the simulation is to be performed. 
cond 
Logical telling wether the simulation is conditional
or not. Only 
nugget.sim 
Numeric. A postive nugget effect used to avoid numerical instability. 
checkNames 
Check consistency between the design data

... 
Ignored. 
Without a dedicated simulate
method for the class
"NoiseKM"
, this method would have been inherited from the
"km"
class. The dedicated method is expected to run faster.
A comparison can be made by coercing a NoiseKM
object to a
km
object with as.km
before calling
simulate
.
A numeric matrix with nrow(newdata)
rows and
nsim
columns containing as its columns the simulated
paths at the input points given in newdata
.
XXX method simulate NoiseKM
Yann Richet yann.richet@irsn.fr
f < function(x) 1  1 / 2 * (sin(12 * x) / (1 + x) + 2 * cos(7 * x) * x^5 + 0.7) plot(f) set.seed(123) X < as.matrix(runif(5)) y < f(X) + 0.01*rnorm(nrow(X)) points(X, y, col = 'blue') k < NoiseKM(design = X, response = y, covtype = "gauss", noise=rep(0.01^2,nrow(X))) x < seq(from = 0, to = 1, length.out = 101) s_x < simulate(k, nsim = 3, newdata = x) lines(x, s_x[ , 1], col = 'blue') lines(x, s_x[ , 2], col = 'blue') lines(x, s_x[ , 3], col = 'blue')
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