Dear Mr. Teitelman,

The purpose of this forum, the SPSS list, in my view, is to make positive

contributions to the use of SPSS, and assist subscribers in their use of

SPSS. If you cannot do that, or do not feel that SPSS is useful in your

daily work; I would suggest you unsubscribe from this list.

Congratulations on your educational achievements, but frankly, I could not

care less. I am not a subscriber to this list to obtain that kind of

information. Please do not crowd my email inbox with this sort of message.

Thank you.

Respectfully,

Dominic

Dominic Lusinchi

Statistician

Far West Research

Statistical Consulting

San Francisco, California

www.farwestresearch.com

-----Original Message-----

From: SPSSX(r) Discussion [mailto:

[hidden email]] On Behalf Of

Joseph Teitelman temp2

Sent: Tuesday, July 18, 2006 11:13 AM

To:

[hidden email]
Subject: Re: SV: For those in need of running SAS using an SPSSfile

You still haven't answered my question as to why most statisticians perfer

SAS to SPSS; or why it's become common knowledge that SAS outperforms SPSS

in so many respects. Have you read the pdf document at UCLA? It was

written in 2005 * hardly outdated.

Moreover, you stated that you received a Ph.D. in Economics, and then in

parentheses placed the term econometrics. I was unaware that

any universities award degrees specifically in econometrics. Are you trying

to say that you earned a degree in economics and specialized in

econometrics.

By the way, from what University have you earned your Ph.D. and at what

universities have you taught. How were you able to join a statistics

department as a tenure track faculty member with a degree in economics,

despite your apparent expertise as an econometrician.

Personally, I received my Ph.Ds from Duke and UNC-CH. Check out US News

and World Report. You'll discover that with respect to my fields of study,

each of these schools is consistently ranked among the best in my areas of

study.

>>> "Peck, Jon" <

[hidden email]> 7/18/2006 1:55 PM >>>

As a matter of fact, I do not agree with you in the slightest when you

consider the power of the open source modules that can be plugged in to SPSS

via programmability and combined with the power and elegance of the Python

language and the SPSS engine. Maybe you should try it.

And as another matter of fact, I happen to have a Ph. D. in Economics

(econometrics), and taught in a top-tier university in the Economics and

Statistics departments for 13 years before joining SPSS.

I have no interest in badmouthing SAS or other competing products. Each has

strengths and weaknesses. Instead, I try to learn what those are.

-Jon Peck

SPSS

-----Original Message-----

From: Joseph Teitelman temp2 [mailto:

[hidden email]]

Sent: Tuesday, July 18, 2006 12:30 PM

To:

[hidden email]; Peck, Jon

Subject: Re: SV: For those in need of running SAS using an SPSSfile

I'm sure that you'd agree with me that it's patently obvious that the SPSS

programming language hardly compares to SAS' SAS/IML module. There's simply

no such comparison. SAS's matrix programming language is far superior to

SPSS' matrix programming language.

And the question still remains: why do most statisticians choose SAS over

SPSS? You tell me why such is the case. Have you been a statistics student

in a graduate level program * or a mathematics student?

>>> "Peck, Jon" <

[hidden email]> 7/18/2006 12:37 PM >>>

First, let's correct the facts. SPSS in fact does have a matrix language

built in. It has 18 statement types, 59 functions, and 20 operators. Users

on this list have posted extensive programs using it.

Second, using the programmability features of SPSS 14, you have access to a

vast array of scientifically oriented modules from third parties. For

example, scipy and numpy can be downloaded free and used within SPSS.

Here is the summary description of scipy

SciPy is an open source library of scientific tools for Python. SciPy

gathers a variety of high level science and engineering modules together as

a single package. SciPy provides modules for statistics, optimization,

integration, linear algebra, Fourier transforms, signal and image

processing, genetic algorithms, ODE solvers, special functions, and more.

SciPy requires and supplements NumPy, which provides a multidimensional

array object and other basic functionality.

Here are a few random examples of simple things you can do with this library

within BEGIN PROGRAM in SPSS. Since you can read the SPSS cases and output

in this mode, the inputs can be anything in SPSS.

factorial and combination functions:

import scipy

scipy.factorial(4)

-> array(24.0)

int(scipy.factorial(4))

-> 24

scipy.factorial(4.1)

-> array(27.931753738368371) (Gamma function)

scipy.factorial(50, exact=1)

-> 30414093201713378043612608166064768844377641568960512000000000000L

matrix operations:

import scipy

A = scipy.mat('[1 3 5;2 5 1;2 3 8]')

print A

-> matrix [[1 3 5]

[2 5 1]

[2 3 8]]

print A.I

-> matrix([[-1.48, 0.36, 0.88],

[ 0.56, 0.08, -0.36],

[ 0.16, -0.12, 0.04]])

(A * A.I = identity matrix)

scipy.linalg.det(A)

-> -25

solving linear equations (nonlinear also available):

from scipy import *

A= mat('[1 3 5;2 5 1;2 3 8]')

b = mat('[10;8;3]')

Solve linear equations Ax = b...

A.I*b

or

linalg.solve(A,b)

Regards,

Jon Peck

SPSS

-----Original Message-----

From: SPSSX(r) Discussion [mailto:

[hidden email]] On Behalf Of

Joseph Teitelman temp2

Sent: Tuesday, July 18, 2006 9:15 AM

To:

[hidden email]
Subject: Re: [SPSSX-L] SV: For those in need of running SAS using an SPSS

file

[snip]

Next, Stat/IML is a matrix programming language which comes along with SAS.

It is extremely powerful. SPSS has no matrix programming language. And

from what I've been told, neither does Stata.

[>>>Peck, Jon] [snip]

Those were my impressions.

Joe Teitelman