X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Flanguage%2Fstats%2Foneway.c;h=a63d1a29e532876ebadb1fbf4d2f8100e0f83021;hb=2be9bee9da6a2ce27715e58128569594319abfa2;hp=12170bb47e73aeb721ed9a97aad2e319232a9755;hpb=3c5fcaa67efcee56981c16b543fb9f679787a486;p=pspp-builds.git diff --git a/src/language/stats/oneway.c b/src/language/stats/oneway.c index 12170bb4..a63d1a29 100644 --- a/src/language/stats/oneway.c +++ b/src/language/stats/oneway.c @@ -1,5 +1,5 @@ /* PSPP - a program for statistical analysis. - Copyright (C) 1997-9, 2000, 2007, 2009, 2010 Free Software Foundation, Inc. + Copyright (C) 1997-9, 2000, 2007, 2009, 2010, 2011 Free Software Foundation, Inc. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by @@ -16,40 +16,32 @@ #include -#include -#include -#include -#include -#include -#include - - -#include -#include -#include -#include -#include -#include - -#include - -#include -#include -#include -#include - - -#include -#include -#include - -#include - #include +#include #include -#include -#include +#include "data/case.h" +#include "data/casegrouper.h" +#include "data/casereader.h" +#include "data/dataset.h" +#include "data/dictionary.h" +#include "data/format.h" +#include "data/value.h" +#include "language/command.h" +#include "language/dictionary/split-file.h" +#include "language/lexer/lexer.h" +#include "language/lexer/value-parser.h" +#include "language/lexer/variable-parser.h" +#include "libpspp/ll.h" +#include "libpspp/message.h" +#include "libpspp/misc.h" +#include "libpspp/taint.h" +#include "linreg/sweep.h" +#include "math/categoricals.h" +#include "math/covariance.h" +#include "math/levene.h" +#include "math/moments.h" +#include "output/tab.h" #include "gettext.h" #define _(msgid) gettext (msgid) @@ -501,7 +493,7 @@ run_oneway (const struct oneway_spec *cmd, for (v = 0; v < cmd->n_vars; ++v) { - struct categoricals *cats = covariance_get_categoricals (ws.vws[v].cov); + const struct categoricals *cats = covariance_get_categoricals (ws.vws[v].cov); categoricals_done (cats);