[R] aggregate over x cases
baptiste auguie
ba208 at exeter.ac.uk
Mon May 11 14:27:17 CEST 2009
good point, i forgot about head (!),
library(plyr)
ddply(d, .(block, trial), head, 2)
block trial x y
1 1 1 605 150
2 1 1 603 148
3 1 2 607 148
4 1 2 605 152
On 11 May 2009, at 14:04, Gabor Grothendieck wrote:
> Try this:
>
> do.call(rbind, by(DF, DF[1:2], head, 2))
>
> On Mon, May 11, 2009 at 7:49 AM, Jens Bölte <boelte at psy.uni-muenster.de
> > wrote:
>> Hello,
>>
>> I have been struggling for quite some time to find a solution for the
>> following problem. I have a data frame which is organized by block
>> and
>> trial. Each trial is represented across several rows in this data
>> frame. I'd
>> like to extract the first x rows per trial and block.
>>
>> For example
>> block trial x y
>> 1 1 1 605 150
>> 2 1 1 603 148
>> 3 1 1 604 140
>> 4 1 1 600 140
>> 5 1 1 590 135
>> 6 1 1 580 135
>> 7 1 2 607 148
>> 8 1 2 605 152
>> 10 1 2 600 158
>> .....
>>
>> Selecting only the the first two rows per trial should result in
>> block trial x y 1 1 605 150
>> 1 1 603 148
>> 1 2 607 148
>> 1 2 605 152
>>
>> The data I am dealing with a x-y coordinates (samples) from an eye-
>> tracking
>> experiment. I receive the data in this format and need to eliminate
>> unwanted
>> samples.
>>
>> Thanks Jens Bölte
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
_____________________________
Baptiste Auguié
School of Physics
University of Exeter
Stocker Road,
Exeter, Devon,
EX4 4QL, UK
Phone: +44 1392 264187
http://newton.ex.ac.uk/research/emag
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