PSPP is a program for statistical analysis of sampled data. It is
a free replacement for the proprietary program SPSS.
PSPP supports T-tests, ANOVA and GLM analyses, factor analysis,
non-parametric tests, linear and logistic regression, clustering,
and other statistical features. PSPP produces statistical reports in
plain text, PDF, PostScript, CSV, HTML, SVG, and OpenDocument formats.
It can import data from OpenDocument, Gnumeric, text and SPSS formats.
PSPP has both text-based and graphical user interfaces. The PSPP
user interface has been translated into a number of languages.
Instructions for PSPP installation are in INSTALL, including a list of
prerequisite packages and other PSPP-specific information. Full
documentation on PSPP's language is also included.
For information on differences from previous versions, please see file
Source code for the latest release of PSPP is available at
ftp://ftp.gnu.org/pub/gnu/pspp/. Test releases are at
ftp://alpha.gnu.org/gnu/pspp/. Development sources are available
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 converter for "646" to "UTF-8"'. These test
failures may safely be ignored.
Questions and comments about using PSPP may be sent to firstname.lastname@example.org.
Bug reports may be filed at http://savannah.gnu.org/bugs/?group=pspp
or emailed to email@example.com. We prefer the web-based system
because it makes it more difficult for us to lose track of bugs, but we
are happy to hear from users through any means.
The long term goals for PSPP are ambitious. We wish to provide the
following support to users:
* All of the SPSS transformation language. PSPP already
supports a large subset of it.
* All the statistical procedures that someone is willing to
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
an "enhanced" mode in certain cases where PSPP can output
better results that may surprise SPSS users.
* Friendly textual and graphical interfaces.
* Good documentation. Currently the PSPP manual describes its
language completely, but we would like to add information on
how to select statistical procedures and interpret their
* 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. It has not been tuned
or extensively tested, however initial experience has given
Over the long term, we also wish to provide support to developers who
wish to extend PSPP with new statistical procedures, by supplying the
* Easy-to-use support for parsing language syntax. Currently,
parsing is done by writing "recursive descent" code by hand,
with some support for automated parsing of the most common
constructs. We wish to improve the situation by supplying a
more complete and flexible parser generator.
* Easy-to-use support for producing attractive output.
Currently, output is done by writing code to explicitly fill
in table cells with data. We should be able to supply a
more convenient interface that also allows for providing
* Eventually, a plug-in interface for procedures. Over the
short term, the interface between the PSPP core and
statistical procedures is evolving quickly enough that a
plug-in model does not make sense. Over the long term, it
may make sense to introduce plug-ins.
For any copyright year range specified as YYYY-ZZZZ in this package note
that the range specifies every single year in that closed interval.