X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=README;fp=README;h=e9895df6b66456491949f0f73c70c2a0179f7843;hb=9cbe9768e1e2685c2aceb726cbecb7a1ac082dbc;hp=da94b711fc047e80940d13bcafa0885ada2311e6;hpb=6f422d9a7e709779c5ba8d1589fe294849dd38e8;p=pspp-builds.git diff --git a/README b/README index da94b711..e9895df6 100644 --- a/README +++ b/README @@ -1,17 +1,19 @@ 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 @@ -31,8 +33,7 @@ following support to users: 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 @@ -56,8 +57,9 @@ following support to users: * 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