Using PL/R for predictive analysis of data.

From: "Mr(dot)Frog(dot)to(dot)you(at)googlemail(dot)com" <Mr(dot)Frog(dot)to(dot)you(at)googlemail(dot)com>
To: pgsql-general(at)postgresql(dot)org
Subject: Using PL/R for predictive analysis of data.
Date: 2008-03-12 16:35:24
Message-ID: 74dc8360-f053-4ffa-a6a7-9596f262b3a9@i12g2000prf.googlegroups.com
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Hi Everyone,

I am wanting to ask some opinions on implementing PL/R into V8.3 on
Win32. I have a need to be able to perform some relatively demanding
statistical functions as the basis of producing data for reports.

In short R appears to have more than enough capability to do the job
(from a statistical perspective), however there doesnt seem to be that
much discussion on using the PL/R implementation, or for that matter
tutorials on using PL/R.

What I would like to know is:
1/ Is is possible to create a view that has its columns based on the
output of a PL/R function?

2/ Are there special considerations for the source data?

3/ Has anyone any experience with NonLinear Regression Analysis using
PL/R to predict future outcomes as a resultset? (ie/ the equivalent of
output from an SQL SELECT statement)

Any advice or counsel would be greatly appreciated.

I am not super famailar with Postgres, but I am famailar with other
large scale databases as well as some desktop ones so dont be afraid
to throw technical answers if you need to :-)

Greatly appreciated

The Frog

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