smoothRegr: Smoothing function used as a default in regr

In regr0: Building regression models

Description

This function wraps the loess smoothing function in order to meet the argument conventions used in the regr0 package.

Usage

smoothRegr(x, y, weights = NULL, par = 5 * length(x)^log10(1/2),
  iterations = 50, minobs=NULL, ...)

Arguments

x	vector of x values
y	vector of y values to be smoothed
weights	vector of weigths used for fitting the smooth
par	value for the span argument of loess.
iterations	number of iterations for the loess algorithm. If ==1, the non-robust, least squares version is applied.
minobs	minimal number of observations. If less valid observations are provided, the result is NULL.
...	Further arguments, passed to loess.

Value

vector of smoothed values. If loess fails, NAs will be returned without issuing a warning.

Author(s)

Werner A. Stahel, ETH Zurich

See Also

loess, smoothM

Examples

t.x <- (1:50)^1.5
t.y <- log10(t.x) + rnorm(length(t.x),0,0.3)
t.y[40] <- 5
r.sm <- smoothRegr(t.x, t.y, par=0.5)
r.sm1 <- smoothRegr(t.x, t.y, iterations=1, par=0.5)

plot(t.x,t.y)
lines(t.x,r.sm, col=2)
lines(t.x,r.sm1, col=3)

regr0 documentation built on May 2, 2019, 4:52 p.m.