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#--------------------------------------------------------------------
# locpol.R (npsp package demo)
#--------------------------------------------------------------------
# EXAMPLES:
# locpol.bin S3 class and methods
# locpol() S3 generic
#
# (c) R. Fernandez-Casal Last revision: Mar 2014
#--------------------------------------------------------------------
library(npsp)
#--------------------------------------------------------------------
# Regularly spaced 2D data
#--------------------------------------------------------------------
nx <- c(40, 40) # ndata = prod(nx)
x1 <- seq(-1, 1, length.out = nx[1])
x2 <- seq(-1, 1, length.out = nx[2])
trend <- outer(x1, x2, function(x,y) x^2 - y^2)
spersp( x1, x2, trend, main = 'Trend', zlab = 'y')
set.seed(1)
y <- trend + rnorm(prod(nx), 0, 0.1)
x <- as.matrix(expand.grid(x1 = x1, x2 = x2)) # two-dimensional grid
spersp( x1, x2, y, main = 'Data')
# # Binning
# bin <- binning(x, y)
# str(bin)
# dim(bin)
# dimnames(bin)
# str(coords(bin))
# str(coordvalues(bin))
# simage(bin, main = 'Binning surface')
# Local polynomial kernel regression
lp <- locpol(x, y, h = diag(c(0.3, 0.3)))
str(lp)
dim(lp)
dimnames(lp)
str(coords(lp))
str(coordvalues(lp))
spersp(lp, main = 'locpol surface', zlab = 'y')
# lopol from binned data
lp2 <- locpol(lp, h = diag(c(0.1, 0.1))) # avoids binning
spersp(lp2, main = 'locpol surface (h=0.1)', zlab = 'y')
#--------------------------------------------------------------------
# Regularly spaced 1D data
#--------------------------------------------------------------------
# one-dimensional data grid
nx <- 1000
x <- seq(0, 1, length.out = nx)
f1d <- function(x) sin( 2*pi*x )
y <- f1d(x) + rnorm(nx, 0, 0.5)
plot(x, y, type='l', col='darkgray')
curve(f1d, 0, 1, add = TRUE)
lp <- locpol(x, y, h = 0.05, nbin = 100)
lines(coords(lp), lp$biny, lwd = 2, lty = 2)
lines(coords(lp), lp$est, lwd = 2)
str(lp)
# cuadratic fit + derivatives
lp <- locpol(x, y, h = 0.3, nbin = 100, drv = TRUE)
lines(coords(lp), lp$est, lwd = 2, col = 2)
plot(coords(lp), lp$deriv, type = "l", main = "Estimated first derivative")
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