Thanks for your response.
Was wondering if there are any R functions/packages to perform optimal
binning of continuous data.

Thanks, again.
Santosh.

On Tue, Nov 27, 2012 at 9:09 AM, Mark Lamias <mlamias@yahoo.com> wrote:

> You might find the binning function in the sm package helpful here.
>
> --Mark Lamias
>
>   ------------------------------
> *From:* Santosh <santosh2005@gmail.com>
> *To:* r-help <r-help@r-project.org>
> *Sent:* Tuesday, November 27, 2012 9:59 AM
> *Subject:* [R] binning by frequency
>
> Dear Rxperts,
>
> is there way to identify intervals from continuous data (having some kind
> of a pattern) and then pick the value of most frequency?
>
>
> a1 <- round(rnorm(50,mean=0,0.1),2)
> a2 <- round(rnorm(50,mean=1,0.2),1)
> a3 <- round(rnorm(50,mean=5,1),0)
> a4 <- round(rnorm(50,mean=14,4),0)
> a5 <- round(rnorm(50,mean=30,8),0)
>
> b1 <- rbind(a1,a2,a3,a4,a5)
>
> hist(b1,brea=100) # shows intervals and values with varying frequency.
>
> unlike the mean values of a1.... a5 above, I don't know the nominal values.
> I would like an algorithm to identify intervals and pick the value with
> most frequency.
>
> I tried "cut", "split" and was not successful.
> Any suggestions/tips are highly welcome.
> Thanks and regards,
> Santosh
>
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