1 PSPP is a program for statistical analysis of sampled data. It
2 interprets commands in the SPSS language and produces tabular output
3 in ASCII, PostScript, or HTML format.
5 PSPP development is ongoing. It already supports a large subset of
6 SPSS's transformation language. Its statistical procedure support is
7 currently limited, but growing.
9 For information on differences from previous versions, please see file
10 NEWS. Full documentation on PSPP's language can be found in the doc/
13 Source code for the latest release of PSPP is available at
14 ftp://ftp.gnu.org/pub/gnu/pspp/. Older versions may be obtained from
15 ftp://alpha.gnu.org/gnu/pspp/. Development sources are available from
16 CVS at http://savannah.gnu.org/projects/pspp
18 Questions and comments about using PSPP may be sent to pspp-users@gnu.org.
19 Bug reports may be filed at http://savannah.gnu.org/bugs/?group=pspp
20 or emailed to bug-gnu-pspp@gnu.org. (We prefer the web-based system
21 because it makes it more difficult for us to lose track of bugs.)
23 The long term goals for PSPP are ambitious. We wish to provide the
24 following support to users:
26 * All of the SPSS transformation language. PSPP already
27 supports a large subset of it.
29 * All the statistical procedures that someone is willing to
30 implement, whether they exist in SPSS or not. Currently,
31 statistical support is limited, but growing.
33 * Compatibility with SPSS syntax, including compatibility with
34 known bugs and warts, where it makes sense. We also provide
35 an "enhanced" mode in certain cases where PSPP can output
36 better results that may surprise SPSS users.
38 * Friendly textual and graphical interfaces. PSPP does not do
39 a good job of this yet.
41 * Attractive output, including graphs, in a variety of human-
42 and machine-readable formats. PSPP currently produces
43 output in ASCII, PostScript, and HTML formats. We will
44 enhance PSPP's output formatting in the future.
46 * Good documentation. Currently the PSPP manual describes its
47 language completely, but we would like to add information on
48 how to select statistical procedures and interpret their
51 * Efficient support for very large data sets. For procedures
52 where it is practical, we wish to efficiently support data
53 sets many times larger than physical memory. The framework
54 for this feature is already in place, but it has not been
55 tuned or extensively tested.
57 Over the long term, we also wish to provide support to developers who
58 wish to extend PSPP with new statistical procedures, by supplying the
61 * Easy-to-use support for parsing language syntax. Currently,
62 parsing is done by writing "recursive descent" code by hand,
63 with some support for automated parsing of the most common
64 constructs. We wish to improve the situation by supplying a
65 more complete and flexible parser generator.
67 * Easy-to-use support for producing attractive output.
68 Currently, output is done by writing code to explicitly fill
69 in table cells with data. We should be able to supply a
70 more convenient interface that also allows for providing
71 machine-readable output.
73 * Eventually, a plug-in interface for procedures. Over the
74 short term, the interface between the PSPP core and
75 statistical procedures is evolving quickly enough that a
76 plug-in model does not make sense. Over the long term, it
77 may make sense to introduce plug-ins.