Here is an example of what I would like to do:
meas = measurements
times = time of measurement
measf = measurements in final, reduced matrix
timesf = time of measurement in final matrix
meas<-runif(30)
times<-sort(runif(30))
inputmat<-cbind(times,meas)
names(inputmat)<-c("timef","measf")
I would then like to break the times up into 0.2 increments so the final matrix
would look like this:
timef measf
0.2 <mean of meas where (time >=0) and (time<0.2)>
0.4
.
.
.
1.0
Instead of measf being the mean, it could be the last measurement taken.
-----Original Message-----
From: ehl...@ucalgary.ca [mailto:ehl...@ucalgary.ca]
Sent: Thursday, May 05, 2011 03:58 PM
To: Thompson, Adele - adele_thomp...@cargill.com
Cc: r-help@r-project.org
Subject: Re: [R] Averaging uneven measurements by time with uneven numbers of
measurements
On 2011-05-05 14:20, Schatzi wrote:
> I do not want smoothing as the data should have jumps (it is weight left in
> feeding bunker). I was thinking of maybe using a histogram-like function and
> then averaging that. Not sure if this is possible.
(It would be useful to include your original request - not everyone
uses Nabble.)
Actually, averaging *is* smoothing, but I suppose your intent is, for
some reason, not to smooth across 30-minute boundaries.
Perhaps you could use findInterval() to identify which measurements to
average.
Peter Ehlers
>
> -----
> In theory, practice and theory are the same. In practice, they are not -
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