lpsmooth {bda} | R Documentation |
To fit nonparametric regression model.
lpsmooth(y,x, bw, sd.y,lscv=FALSE, adaptive=FALSE, from, to, gridsize,conf.level=0.95)
y,x |
Two numerical vectors. |
from,to,gridsize |
start point, end point and size of a fine grid where the EDF will be evaluated. |
bw |
Smoothing parameter. Numeric or character value is allowed. If missing, adaptive (LSCV) bandwidth selector will be used. |
lscv,adaptive |
If |
sd.y |
Standard deviation of |
conf.level |
Confidence level. |
B. Wang bwang@southalabama.edu
x <- rnorm(100,34.5,1.5) e <- rnorm(100,0,2) y <- (x-32)^2 + e out <- lpsmooth(y,x) out plot(out, type='l', scb=TRUE) x0 <- seq(min(x),max(x),length=100) y0 <- (x0-32)^2 lines(x0, y0, col=2) points(x, y, pch="*", col=4)