[R] How to fit discrete distribution to data in R having non standard shape?

From: Aswad Gurjar <aswadgurjar_at_gmail.com>
Date: Tue, 12 Feb 2008 08:53:50 +0530


I have 421 readings of time and no of requests coming at perticular time.Basically I have data with interval of one minute and corresponding no of requests arriving per minute.It is discrete in nature.I am collecting data from 9AM to 4PM.But some of readings are coming as 0.When I plotted histogram of data I could not get shape of any standard distribution.Now,my aim is to find distribution which is "best fit" to my data.

How can I do that with R?Because major problem is shape is not standard one.I am not able to fit any standard model.Do I need to use empirical distribution?Is there any other way to fit appropriate model by dividing data and trying to fit model to each part?

Please help me on this issue.
Thank You.


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