Sorry there was a typo in the code. This should work:
> tmp <- rep(0, times=1000)
> for (i in 1:1000) tmp[i] <- get(paste('B', i, sep=''"))
> mean(tmp)
Viknesh wrote:
>
> Hi,
>
> If I correctly understand what you want to do, then this might work:
>
>> tmp <- rep(0, times=1000)
>> for (i in 1:1000) tmp[i] <- get(paste('B', i, sep=''))
>> mean(tmp)
>
> HTH,
> Vik
>
>
> maram salem wrote:
>>
>> Hi all,
>> I'm using a certain procedure to calculate the value of some
>> variable(Bayes risk),B.
>> So I got the values B1, B2, ........, B1000, each under certain input
>> values and using a long procedure.
>> Now, I want to put the values I got in a nummerical vector and find their
>> minimum value. I think c( ) should work.For example if I have only 10
>> values I could have used
>> c(B1,B2,B3,B4,B5,B6,B7,B8,B9,B10)
>> But how can I do this for 1000 values?
>> I think the question is really trivial, but I tried to work on it and
>> couldn't reach anythg.
>> Thanks.
>> Maram
>>
>>
>>
>> [[alternative HTML version deleted]]
>>
>>
>> ______________________________________________
>> 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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