On Thu, 05 Feb 2004 07:45:41 -0500, Mike Mascari wrote:
>Marc A. Leith wrote: > >>Quoting Mike Mascari <mascarm@mascari.com>: >> >> >>>Would Joe Conway's PL/R procedural language be any help here? I'd guess >>>there's an R package to fit the bill, but then again I'm only on page 30 >>>of Modern Applied Statistics in S-Plus. ;-) >>> >>>For a turnkey modeling solution, you need more than simple stat functions. These >>>solutions automatically transform or 'bucketize' the data and then analyze the >>>covariance between the score variables and the known result. >>> >>> > >I'm obviously not in any position to define what is needed here. I only >had business statistics in college as a requirement for an economics >degree many years ago. However, I will say that you may be >underestimating R's capabilities. It includes linear and non-linear >regression models, neural networks, time-series analysis, and a host >(and I mean 100's) of other models I have yet to fathom. I'd humbly >speculate that the core developers, include the chairman of the >statistics department at Oxford, would take issue with its >characterization as "simple stat functions". But what do I know... :-) > >Mike Mascari >
Fair enough - I took a look at the links that Joe Conway provided and it seems very powerful and feature complete. My comment was unfair, and consider it rephrased/withdrawn
- BUT is it turnkey? The original question sought a 'system' to score the database.
SAS & SPSS can be configured to do this, as likely R can be, but does that make it a system?
The solutions I suggested can be run by someone with virtually no knowledge of stats (Not that I suggest this for complex issues). They can select an appropriate model in minutes rather than needing a MA to desing a solution.
