This is extractly what I want. Thank you very much.
On Wed, Apr 6, 2011 at 5:22 PM, Petr PIKAL <petr.pi...@precheza.cz> wrote:
> Hi
>
>
> r-help-boun...@r-project.org napsal dne 06.04.2011 10:48:04:
>
>> Dear list,
>>
>> I have a dataframe with two column as fellow.
>>
>> > head(dat)
>> V1 V2
>> 0.15624 0.94567
>> 0.26039 0.66442
>> 0.16629 0.97822
>> 0.23474 0.72079
>> 0.11037 0.83760
>> 0.14969 0.91312
>>
>> I want to get the column V2 mean value based on the bin of column of
>> V1. I write the code as fellow. It works, but I think this is not the
>> elegant way. Any suggestions?
>
> Do you want something like that?
>
> #make data
> x<-runif(100)
> y<-runif(100)
>
> #cut first column to bins (in your case dat[,1] and ran)
> x.c<-cut(x, seq(0,1,.1))
>
> #aggregate column 2 according to bins (in your case dat[,2])
> aggregate(y,list(x.c), mean)
> Group.1 x
> 1 (0,0.1] 0.5868734
> 2 (0.1,0.2] 0.5436263
> 3 (0.2,0.3] 0.5099366
> 4 (0.3,0.4] 0.4815855
> 5 (0.4,0.5] 0.4137687
> 6 (0.5,0.6] 0.4698156
> 7 (0.6,0.7] 0.4687639
> 8 (0.7,0.8] 0.5661048
> 9 (0.8,0.9] 0.5489297
> 10 (0.9,1] 0.4812521
>
> Regards
> Petr
>
>>
>> dat<-read.table("dat.txt",head=F)
>> ran<-seq(0,0.5,0.05)
>> mm<-NULL
>> for (i in c(1:(length(ran)-1)))
>> {
>> fil<- dat[,1] > ran[i] & dat[,1]<=ran[i+1]
>> m<-mean(dat[fil,2])
>> mm<-c(mm,m)
>> }
>> mm
>>
>> Here is the first 20 lines of my data.
>>
>> > dput(head(dat,20))
>> structure(list(V1 = c(0.15624, 0.26039, 0.16629, 0.23474, 0.11037,
>> 0.14969, 0.16166, 0.09785, 0.36417, 0.08005, 0.29597, 0.14856,
>> 0.17307, 0.36718, 0.11621, 0.23281, 0.10415, 0.1025, 0.04238,
>> 0.13525), V2 = c(0.94567, 0.66442, 0.97822, 0.72079, 0.8376,
>> 0.91312, 0.88463, 0.82432, 0.55582, 0.9429, 0.78956, 0.93424,
>> 0.87692, 0.83996, 0.74552, 0.9779, 0.9958, 0.9783, 0.92523, 0.99022
>> )), .Names = c("V1", "V2"), row.names = c(NA, 20L), class =
> "data.frame")
>>
>> ______________________________________________
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>> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help@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.
>
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