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R is an alternative to SPSS data sets. R is a free software environment for statistical analysis, and is used in many academic and commercial environments. An external R programmability interface allows the user to access the data and functions in the SPSS data sets from R.
SAX Basic is retained in version 20 as the simplest scripting language for beginners. The SPSS Python capability was added in version 14, and allows much more complex access to SPSS. The SPSS Python capability includes all of the functionality of SAX Basic. In addition, it allows access to the rich functionality of the SPSS data dictionary and data files, and the ability to access SPSS data from R and other statistical packages.
SAX Basic is the first language used in SPSS. The SPSS Basic language is based on the Basic language of the SPSS release of 1976. The SPSS Basic language was enhanced by the SPSS release of 1985.
SPSS 20 includes a version of the R software environment that allows users to access the same data used in SPSS. R and SPSS are installed together in the same folder on the SPSS installation media, and can be used together to analyze the data.
The user has the option to create Python scripts and VB.NET programs by using a GUI tool. The GUI has the same name as the programming language, e.g., SPSS Basic, SPSS Macro, R, and Python. The Basic version of SPSS allows users to modify and write SPSS data dictionary and data files.
These notes are based on the SPSS manuals to Version 14. Although many of these notes will be out of date, they will remain available here. Readers should refer to the documentation for the current version of SPSS.
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One of the drawbacks to this approach was that we needed to recompile every time we made even a small change to the code. This slowed everything else we were doing down and because we couldn't always have someone waiting for the application to finish building. 827ec27edc