11 Commits

Author SHA1 Message Date
sthen
6054849b1f sync WANTLIB 2022-03-31 17:16:30 +00:00
naddy
ab45f39af6 drop RCS Ids 2022-03-11 19:36:11 +00:00
jca
5365898e9a Don't use printf %n
gnulib possible use of %n at runtime deduced from a report by naddy@
2021-08-31 18:07:55 +00:00
ajacoutot
768b9c9284 Missing BDEP on lang/python.
ok bcallah@ (maintainer)
2021-03-18 13:44:38 +00:00
bcallah
fb6765a2ef Update to pspp-1.4.1, among many other things, includes fixes for
-fno-common.
Complete changelog: http://git.savannah.gnu.org/cgit/pspp.git/tree/NEWS
ok gnezdo@
2021-02-14 16:57:14 +00:00
sthen
e8a3ed4a98 Some ports using gnulib previously detected a broken realpath and switched to an
internal replacement function. Following the changes to make realpath(3) use the
__realpath() syscall these no longer detect broken realpath i.e. produce different
code. Bump REVISION to ensure that users get the new version.
2019-07-16 21:29:41 +00:00
sthen
3318ced016 replace simple PERMIT_PACKAGE_CDROM=Yes with PERMIT_PACKAGE=Yes 2019-07-12 20:46:54 +00:00
naddy
ebf751b927 Update gettext to 0.20.1.
Follow the upstream recommendations for packagers and switch to
multi-packages:
devel/gettext       -> devel/gettext,-runtime
devel/gettext-tools -> devel/gettext,-tools
(new)                  devel/gettext,-textstyle
2019-05-20 22:15:00 +00:00
sthen
b17bf3228e update curses WANTLIB entries following the change in base libraries to use soname 2019-05-17 16:19:37 +00:00
naddy
d86fbc1bed tighten the description; ok bcallah@ 2018-11-12 22:58:38 +00:00
bcallah
3a755ee2c1 Import math/pspp, a program for statistical analysis of sampled data.
ok bentley@

GNU PSPP is a program for statistical analysis of sampled data. It is a
free as in freedom replacement for the proprietary program SPSS, and
appears very similar to it with a few exceptions.

The most important of these exceptions are, that there are no "time
bombs"; your copy of PSPP will not "expire" or deliberately stop working
in the future. Neither are there any artificial limits on the number of
cases or variables which you can use. There are no additional packages
to purchase in order to get "advanced" functions; all functionality that
PSPP currently supports is in the core package.

PSPP is a stable and reliable application. It can perform descriptive
statistics, T-tests, anova, linear and logistic regression, measures of
association, cluster analysis, reliability and factor analysis,
non-parametric tests and more. Its backend is designed to perform its
analyses as fast as possible, regardless of the size of the input data.
You can use PSPP with its graphical interface or the more traditional
syntax commands.
2018-11-12 21:30:29 +00:00