Hi Robert,
If you type
?loess
It pulls up the documentation. What about that function do you not like? As
you said, it needs two variables, but typically the second is just your
time index. Try this:
n <- 50
x <- rep(0,n)
for(i in 2:n){
x[i] <- rnorm(1,x[i-1])
}
loess(x ~ seq(1,n))
plot(1:n,x,type='l')
lines(predict(loess(x ~ seq(1,n))),col=4,type='l')
This might also help:
http://research.stowers-institute.org/efg/R/Statistics/loess.htm
-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Faryabi, Robert (NIH/NCI) [F]
Sent: Thursday, March 08, 2012 6:43 PM
To: r-help@r-project.org
Subject: [R] Moving average with loess
Hello All,
I just have a very simple question. I recently switching from Matlab to R,
so cannot figure out some of the easy tasks in the new environment.
Is there any weighted local regression smoothing in R? Basically, I want to
have weighted moving average. All the functions that I know of need two
variables for fitting.
Best,
Robert
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and provide commented, minimal, self-contained, reproducible code.
