SPSS Statistics 17 Extension Commands

[Peck, Jon]

This message is a summary of the new extension commands for SPSS Statistics 17.  All of these can now be downloaded from SPSS Developer Central (www.spss.com/devcentral).  They all require the Python Plug-In.  The R extensions also require the R Plug-In from Developer Central and R 2.7.0.  For the R extensions, you must also install a patch to SPSS Statistics 17.  Details are in the readme file with each package.

 

Besides providing standard SPSS syntax, most of these commands have a dialog box interface, including Help.  Once installed, the syntax and dialog are automatically available in every SPSS Statistics session.

 

You can find the Plug-Ins by following the Plugins Download Page link on the main Developer Central page  The Python Plug-In is also on the SPSS Statistics 17 installation CD.

 

You can download the individual extension command zip files and install as per the readme.txt instructions in each zip.  If you want to look on Developer Central specifically for extension commands, go to the Downloads link.  Then in the Filter field at the top, choose Extension Commands and click the Filter Downloads button.  I like to select Single Page View also.  Here's the list of what's new.

 

-        SPSSINC HETCOR: polychoric and serial correlation (R)

-        SPSSINC ROBUST REGR: robust regression using M estimators (R)

-        SPSSINC QUANTREG: quantile regression (R)

-        SPSSINC TOBIT REGR: Tobit truncated regression (R)

-        SPSSINC APRIORI: association rules (R)

-        SPSSINC RASCH: Rasch models (R)

-        SPSSINC COMPARE DATASETS: compare dictionary and/or data in two open SPSS datasets

-        SPSSINC MODIFY TABLE: fancy formatting for pivot tables

-        SPSSINC MODIFY OUTPUT: outline and item title and heading modifications, including formatting and sequence numbering

-        SPSSINC MERGE TABLES: combine two pivot tables in the Viewer

 

There are quite a few other extension commands that work with older versions and that can also be used with SPSS Statistics 17.  Altogether, there are 18 commands posted.  There is one more R-based extension command that is nearly complete and will be posted soon.

 

These materials are provided as is, but we hope that you find them useful.  If you write your own extension commands, consider contributing ones of general interest.  We invite comments and suggestions on the Dev Central forums.  I'd also like to thank my SPSS colleagues who have written or helped with these commands and the development teams that built the underlying extension and plug-in framework.

 

Check back with Developer Central from time to time for updates and additional offerings.

 

Regards,

 

Jon K. Peck

SPSS Inc.

[hidden email] <mailto:[hidden email]>

(ip) phone [phone]

 

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