R help - Apr 2012 - Data generation for a distribution

Hi,

 

     I am a new user and this is a basic question. I have read the
posting guidelines too. So if this more appropriate for a statistics
forum I will ask them.

 

    I have a socket server and client and the bytes are piped to
graphite which is a graphing library. The intention is to understand
what distribution the data fits into - server's side - and try to
extrapolate. I have some material that explains the basics of this.

                   

Have I understood this correctly?  There is a server distribution(after
receiving) and client distribution(while sending) ?

 

1.       Are there ways to use R - based on a book or material - to help
with data generation simulation - client's side - so that I simulate a
particular distribution ? Is this the right way to simulate random bytes
? What kind of random byte generation techniques should I read up on (
book or material ) ?

 

2.       What should I read up on to extrapolate ? I am already
referring to some capacity planning books. So this is purely from the
perspective of statistics.

 

Maybe I should read a book on 'Data fit techniques' or one on random
number generations. I have collected a list of books but I am unable to
home in on them because I need only basic maths to start with.

    

 

Thanks,

Mohan



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