R help - Feb 2008 - How to fit discrete distribution to data in R having non standard shape?

Hello,

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.

Aswad

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