plot.Krig.R
# fields, Tools for spatial data
# Copyright 2004-2011, Institute for Mathematics Applied Geosciences
# University Corporation for Atmospheric Research
# Licensed under the GPL -- www.gpl.org/licenses/gpl.html
"plot.Krig" <- function(x, digits = 4, which = 1:4,
...) {
out <- x
#
# don't do plots 2:4 if a fixed lambda
#
if (x$fixed.model) {
which <- 1
}
fitted.values <- predict(out)
std.residuals <- (out$residuals * sqrt(out$weights))/out$shat.GCV
if (any(which == 1)) {
temp <- summary(out)
plot(fitted.values, out$y, ylab = "Y", xlab = " predicted values",
bty = "n", ...)
abline(0, 1)
hold <- par("usr")
text(hold[1], hold[4], paste(" R**2 = ", format(round(100 *
temp$covariance, 2)), "%", sep = ""), cex = 0.8,
adj = 0)
}
if (any(which == 2)) {
plot(fitted.values, std.residuals, ylab = "(STD) residuals",
xlab = " predicted values", bty = "n", ...)
yline(0)
hold <- par("usr")
text(hold[1], hold[4], paste(" RMSE =", format(signif(sqrt(sum(out$residuals^2)/(temp$num.observation -
temp$enp)), digits))), cex = 0.8, adj = 0)
}
if (any(which == 3)) {
if (nrow(out$gcv.grid) > 1) {
ind <- out$gcv.grid[, 3] < 1e+19
out$gcv.grid <- out$gcv.grid[ind, ]
yr <- range(unlist(out$gcv.grid[, 3:5]), na.rm = TRUE)
plot(out$gcv.grid[, 2], out$gcv.grid[, 3], xlab = "Eff. number of parameters",
ylab = " GCV function", bty = "n", ylim = yr,
log = "y", ...)
lines(out$gcv.grid[, 2], out$gcv.grid[, 4], lty = 2)
lines(out$gcv.grid[, 2], out$gcv.grid[, 5], lty = 1)
xline(out$eff.df)
title("GCV-points , solid- GCV model,\ndashed- GCV one",
cex = 0.6)
box()
}
}
if (any(which == 4)) {
hist(std.residuals)
}
}