Re: best software environment for numerical analysis

From: Phil Webb (philwebb_at_nospam.radiolink.net)
Date: 09/18/04 

Date: Sat, 18 Sep 2004 17:26:58 +0100

>R and S-Plus are designed for and used by statisticians, so there is statistical
>software for those programs not available in Matlab -- you'd have to write
>your own code. See http://cran.r-project.org for a list of R packages. Usually,
>R can run S-Plus code.

I have another "problem" that is purely statistical, not a simulation.

A randomizing machine has a bias, and from a sample of "spins" i want
to calculate the bias. Obviously as the sample size increases the
confidence of the bias calculation will narrow. There are four
randomizing devices in the machine and for each device the next
outcome of a spin is a function of the previous outcome, but you don't
know which of the four previous outcomes was the starting point for
each of the four devices.

Now if there was only one device this would be straight
forward(although some work for me since i am not mathematician) to
reverse backwards and calculate actual probabilities with a certain
confidence level for a given sample size.

So i need to do the analysis of a sample, or analyze the data as it is
collected to determine a bias with a useful confidence interval.

Will this R and S help me best do this?

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