Thank you, all !

That's very helpful.

Kind regards,
Chintanu

=====================================


On Fri, Jul 27, 2012 at 12:57 PM, arun <smartpink...@yahoo.com> wrote:

> Hi,
>
> Try this:a<-c(4,5,23,34,43,54,56,65,67,324,435,453,456,567,657)
> a1<-melt(table(cut(a,breaks=c(0,10,20,30,60,120,240,480,960))))
> a2<-data.frame(sapply(a1,function(x) gsub("\\(|\\]","",gsub("\\,","-",x))))
> colnames(a2)<-c("numbers","Freq")
> a2
> #  numbers Freq
> #1    0-10    2
> #2   10-20    0
> #3   20-30    1
> #4   30-60    4
> #5  60-120    2
> #6 120-240    0
> #7 240-480    4
> #8 480-960    2
>
> #You can also get the same result by:
> a1<-as.data.frame(table(cut(a,breaks=c(0,10,20,30,60,120,240,480,960),labels=c("0-10","10-20","20-30","30-60","60-120","120-240","240-480","480-960")))
> )
> colnames(a1)<-c("numbers","Freq")
>  a1
>
> A.K.
>
>
>
>
>
> ----- Original Message -----
> From: Chintanu <chint...@gmail.com>
> To: r-help@r-project.org
> Cc:
> Sent: Thursday, July 26, 2012 9:22 PM
> Subject: [R] Counting frequency within each range
>
> Hi,
>
> This is a simple problem, but for the life of me I cannot find the answer.
> How to determine frequency within given ranges ?
> I know that table() gives frequency, for example
>
> a <- table(numbers)
> > a
> numbers
>   4   5  23  34  43  54  56  65  67 324 435 453 456 567 657
>   2   1   2   2     1   1     2   1     2     1     3     1       1   1   1
>
> > as.data.frame(table(numbers))
>    numbers Freq
> 1        4    2
> 2        5    1
> 3       23    2
> 4       34    2
> ...
>
> However, there must be some simple way to get the frequency based on
> ranges, such as 0-10, 10-20, 20-30 and so on.
> Please help !
>
> Thank you.
>
> Cheers,
> Chintanu
>
>     [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
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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.
>
>

        [[alternative HTML version deleted]]

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