PSPP is a program for statistical analysis of sampled data. It
-interprets commands in the SPSS language and produces tabular output
-in ASCII, PostScript, or HTML format.
+is a free replacement for the proprietary program SPSS.
PSPP development is ongoing. It already supports a large subset of
-SPSS's transformation language. Its statistical procedure support is
-currently limited, but growing.
+SPSS's syntax. Its statistical procedure support is currently
+limited, but growing. At your option, PSPP will produce statistical
+reports in ASCII, PostScript, or HTML formats.
Instructions for PSPP installation are in INSTALL, including a list of
-prerequisite packages and other PSPP-specific information.
+prerequisite packages and other PSPP-specific information. Full
+documentation on PSPP's language will be installed along with the
+programs.
For information on differences from previous versions, please see file
-NEWS. Full documentation on PSPP's language can be found in the doc/
-directory.
+NEWS.
Source code for the latest release of PSPP is available at
ftp://ftp.gnu.org/pub/gnu/pspp/. Older versions may be obtained from
-ftp://alpha.gnu.org/gnu/pspp/. Development sources are available from
-CVS at http://savannah.gnu.org/projects/pspp
-
+ftp://alpha.gnu.org/gnu/pspp/. Development sources are available
+at http://savannah.gnu.org/projects/pspp
+
+The following miscellaneous notes apply to this release:
+
+ * On a few operating systems, such as OpenBSD, some of the
+ tests may fail with messages similar to: 'Warning: cannot
+ create a convertor for "646" to "UTF-8"'. These test
+ failures may safely be ignored.
+
Questions and comments about using PSPP may be sent to pspp-users@gnu.org.
Bug reports may be filed at http://savannah.gnu.org/bugs/?group=pspp
or emailed to bug-gnu-pspp@gnu.org. We prefer the web-based system
supports a large subset of it.
* All the statistical procedures that someone is willing to
- implement, whether they exist in SPSS or not. Currently,
- statistical support is limited, but growing.
+ implement, whether they exist in SPSS or not.
* Compatibility with SPSS syntax, including compatibility with
known bugs and warts, where it makes sense. We also provide
* Efficient support for very large data sets. For procedures
where it is practical, we wish to efficiently support data
sets many times larger than physical memory. The framework
- for this feature is already in place, but it has not been
- tuned or extensively tested.
+ for this feature is already in place. It has not been tuned
+ or extensively tested, however initial experience has given
+ impressive results.
Over the long term, we also wish to provide support to developers who
wish to extend PSPP with new statistical procedures, by supplying the