update.NuggetKriging {rlibkriging} | R Documentation |
Update a NuggetKriging
model object with new points
Description
Update a NuggetKriging
model object with new points
Usage
## S3 method for class 'NuggetKriging'
update(object, newy, newX, ...)
Arguments
object |
S3 NuggetKriging object. |
newy |
Numeric vector of new responses (output). |
newX |
Numeric matrix of new input points. |
... |
Ignored. |
Value
No return value. NuggetKriging object argument is modified.
Caution
The method does not return the updated
object, but instead changes the content of
object
. This behaviour is quite unusual in R and
differs from the behaviour of the methods
update.km
in DiceKriging and
update,KM-method
.
Author(s)
Yann Richet yann.richet@irsn.fr
Examples
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(10))
y <- f(X) + 0.1 * rnorm(nrow(X))
points(X, y, col = "blue")
k <- NuggetKriging(y, X, "matern3_2")
## include design points to see interpolation
x <- sort(c(X,seq(from = 0, to = 1, length.out = 101)))
p <- predict(k, x)
lines(x, p$mean, col = "blue")
polygon(c(x, rev(x)), c(p$mean - 2 * p$stdev, rev(p$mean + 2 * p$stdev)),
border = NA, col = rgb(0, 0, 1, 0.2))
newX <- as.matrix(runif(3))
newy <- f(newX) + 0.1 * rnorm(nrow(newX))
points(newX, newy, col = "red")
## change the content of the object 'k'
update(k, newy, newX)
## include design points to see interpolation
x <- sort(c(X,newX,seq(from = 0, to = 1, length.out = 101)))
p2 <- predict(k, x)
lines(x, p2$mean, col = "red")
polygon(c(x, rev(x)), c(p2$mean - 2 * p2$stdev, rev(p2$mean + 2 * p2$stdev)),
border = NA, col = rgb(1, 0, 0, 0.2))
[Package rlibkriging version 0.8-0.1 Index]