Hi Noah,
there are a few ways to do this. Easiest is to keep adding an element
to a list, and then make it into a dataframe at the end, like this:
resultlis <- list()
for(i in 1:10){
# your calculations here
datavec <- runif(3)
resultlis[[i]] <- datavec
}
resultdfr <- as.data.frame(do.call("rbind", resultlis))
greetings,
Remko
-------------------------------------------------
Remko Duursma
Post-Doctoral Fellow
Centre for Plants and the Environment
University of Western Sydney
Hawkesbury Campus
Richmond NSW 2753
Dept of Biological Science
Macquarie University
North Ryde NSW 2109
Australia
Mobile: +61 (0)422 096908
www.remkoduursma.com
On Wed, Aug 5, 2009 at 9:41 AM, Noah Silverman<n...@smartmediacorp.com> wrote:
> Hi,
>
> Time for another of my "newbie" questions.
>
> Is it possible to build up a data.frame "row by row" as I go
>
> I'm going to be running a bunch of experiments (many in a loop) to test
> different things. I'm using AUC as my main performance measure.
>
> My thought was to add a row to a data.frame for each iteration and then have
> a nice summary report at the end.
>
> I found how to import, export, and create from vectors. I haven't been able
> to find how just make an empty one and add rows as I go.
>
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> and provide commented, minimal, self-contained, reproducible code.
>
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