tests/formats/wkday-in.sh \
tests/formats/wkday-out.sh \
tests/formats/360.sh \
- tests/expressions/randist.sh \
tests/expressions/valuelabel.sh \
tests/expressions/variables.sh \
tests/expressions/vectors.sh
$(dist_TESTS) \
tests/coverage.sh tests/test_template \
tests/data/v13.sav tests/data/v14.sav \
- tests/expressions/randist/beta.out \
- tests/expressions/randist/cauchy.out \
- tests/expressions/randist/chisq.out \
- tests/expressions/randist/exp.out \
- tests/expressions/randist/f.out \
- tests/expressions/randist/gamma.out \
- tests/expressions/randist/laplace.out \
- tests/expressions/randist/lnormal.out \
- tests/expressions/randist/logistic.out \
- tests/expressions/randist/normal.out \
- tests/expressions/randist/pareto.out \
- tests/expressions/randist/compare.pl \
- tests/expressions/randist/randist.pl \
- tests/expressions/randist/randist.txt \
- tests/expressions/randist/t.out \
- tests/expressions/randist/uniform.out \
- tests/expressions/randist/weibull.out \
tests/formats/bcd-in.expected.cmp.gz \
tests/formats/binhex-out.expected.gz \
tests/formats/ib-in.expected.cmp.gz \
tests/libpspp/stringi-set.at \
tests/libpspp/tower.at \
tests/math/moments.at \
+ tests/math/randist.at \
tests/output/charts.at \
tests/output/output.at \
tests/output/paper-size.at \
+++ /dev/null
-#! /bin/sh
-
-# Tests random distribution functions.
-
-TEMPDIR=/tmp/pspp-tst-$$
-
-# ensure that top_srcdir and top_builddir are absolute
-if [ -z "$top_srcdir" ] ; then top_srcdir=. ; fi
-if [ -z "$top_builddir" ] ; then top_builddir=. ; fi
-top_srcdir=`cd $top_srcdir; pwd`
-top_builddir=`cd $top_builddir; pwd`
-PSPP=$top_builddir/src/ui/terminal/pspp$EXEEXT
-
-
-STAT_CONFIG_PATH=$top_srcdir/config
-export STAT_CONFIG_PATH
-
-
-cleanup()
-{
- if [ x"$PSPP_TEST_NO_CLEANUP" != x ] ; then
- echo "NOT cleaning $TEMPDIR"
- return ;
- fi
- cd /
- rm -rf $TEMPDIR
-}
-
-
-fail()
-{
- echo $activity
- echo FAILED
- cleanup;
- exit 1;
-}
-
-
-no_result()
-{
- echo $activity
- echo NO RESULT;
- cleanup;
- exit 2;
-}
-
-pass()
-{
- cleanup;
- exit 0;
-}
-
-mkdir -p $TEMPDIR
-cd $TEMPDIR
-
-activity="run script to generate random distribution test command file"
-perl $top_srcdir/tests/expressions/randist/randist.pl \
- < $top_srcdir/tests/expressions/randist/randist.txt \
- > randist.pspp
-if [ $? -ne 0 ] ; then no_result ; fi
-
-activity="run command file"
-$SUPERVISOR $PSPP -o pspp.csv \
- $TEMPDIR/randist.pspp >$TEMPDIR/randist.err 2> $TEMPDIR/randist.out
-if [ $? -ne 0 ] ; then fail ; fi
-
-for d in beta cauchy chisq exp f gamma laplace logistic lnormal \
- normal pareto t uniform weibull; do
- activity="compare output for $d distribution"
- perl $top_srcdir/tests/expressions/randist/compare.pl \
- $top_srcdir/tests/expressions/randist/$d.out $TEMPDIR/$d.out
- if [ $? -ne 0 ] ; then fail ; fi
-done
-
-pass
+++ /dev/null
- P a b x cdf pdf
- .01 .75 .25 .0107 .0100 .7059
- .01 .75 .50 .0047 .0100 1.5975
- .01 .75 1.00 .0022 .0100 3.4812
- .01 .75 1.50 .0014 .0100 5.4014
- .01 .75 2.00 .0010 .0100 7.3328
- .01 .75 2.50 .0008 .0100 9.2691
- .01 .75 3.00 .0007 .0100 11.2077
- .01 1.00 .25 .0394 .0100 .2577
- .01 1.00 .50 .0199 .0100 .5051
- .01 1.00 1.00 .0100 .0100 1.0000
- .01 1.00 1.50 .0067 .0100 1.4950
- .01 1.00 2.00 .0050 .0100 1.9900
- .01 1.00 2.50 .0040 .0100 2.4850
- .01 1.00 3.00 .0033 .0100 2.9800
- .01 1.50 .25 .1343 .0100 .1168
- .01 1.50 .50 .0808 .0100 .1888
- .01 1.50 1.00 .0464 .0100 .3232
- .01 1.50 1.50 .0328 .0100 .4538
- .01 1.50 2.00 .0255 .0100 .5831
- .01 1.50 2.50 .0208 .0100 .7118
- .01 1.50 3.00 .0176 .0100 .8402
- .10 .75 .25 .2094 .1000 .3968
- .10 .75 .50 .0985 .1000 .7845
- .10 .75 1.00 .0464 .1000 1.6158
- .10 .75 1.50 .0302 .1000 2.4656
- .10 .75 2.00 .0223 .1000 3.3210
- .10 .75 2.50 .0177 .1000 4.1787
- .10 .75 3.00 .0146 .1000 5.0376
- .10 1.00 .25 .3439 .1000 .3429
- .10 1.00 .50 .1900 .1000 .5556
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- .10 1.00 1.50 .0678 .1000 1.4482
- .10 1.00 2.00 .0513 .1000 1.8974
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- .10 1.00 3.00 .0345 .1000 2.7965
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- .10 1.50 3.00 .0864 .1000 1.6102
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- .20 .75 1.00 .1170 .2000 1.2825
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- .20 .75 2.00 .0573 .2000 2.5285
- .20 .75 2.50 .0456 .2000 3.1569
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- .30 .75 .25 .6615 .3000 .5624
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- .30 .75 3.00 .0673 .3000 3.0823
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- .30 1.00 1.00 .3000 .3000 1.0000
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- .40 .75 .25 .8106 .4000 .8261
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- .40 .75 1.50 .2017 .4000 1.3908
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- .40 .75 3.00 .1029 .4000 2.5638
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- .40 1.00 1.00 .4000 .4000 1.0000
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- .40 1.00 3.00 .1566 .4000 2.1341
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- .40 1.50 1.00 .5429 .4000 1.1052
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- .40 1.50 2.50 .2904 .4000 1.6405
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- .50 1.50 2.50 .3525 .5000 1.5755
- .50 1.50 3.00 .3069 .5000 1.7464
- .60 .75 .25 .9613 .6000 2.6072
- .60 .75 .50 .7793 .6000 .9454
- .60 .75 1.00 .5061 .6000 .8892
- .60 .75 1.50 .3662 .6000 1.0676
- .60 .75 2.00 .2856 .6000 1.2826
- .60 .75 2.50 .2337 .6000 1.5099
- .60 .75 3.00 .1976 .6000 1.7426
- .60 1.00 .25 .9744 .6000 3.9063
- .60 1.00 .50 .8400 .6000 1.2500
- .60 1.00 1.00 .6000 .6000 1.0000
- .60 1.00 1.50 .4571 .6000 1.1052
- .60 1.00 2.00 .3675 .6000 1.2649
- .60 1.00 2.50 .3069 .6000 1.4427
- .60 1.00 3.00 .2632 .6000 1.6287
- .60 1.50 .25 .9850 .6000 6.6134
- .60 1.50 .50 .8978 .6000 1.8869
- .60 1.50 1.00 .7114 .6000 1.2651
- .60 1.50 1.50 .5789 .6000 1.2573
- .60 1.50 2.00 .4860 .6000 1.3438
- .60 1.50 2.50 .4182 .6000 1.4617
- .60 1.50 3.00 .3667 .6000 1.5938
- .70 .75 .25 .9877 .7000 6.1137
- .70 .75 .50 .8736 .7000 1.2142
- .70 .75 1.00 .6215 .7000 .8447
- .70 .75 1.50 .4670 .7000 .9214
- .70 .75 2.00 .3714 .7000 1.0570
- .70 .75 2.50 .3075 .7000 1.2110
- .70 .75 3.00 .2622 .7000 1.3731
- .70 1.00 .25 .9919 .7000 9.2593
- .70 1.00 .50 .9100 .7000 1.6667
- .70 1.00 1.00 .7000 .7000 1.0000
- .70 1.00 1.50 .5519 .7000 1.0041
- .70 1.00 2.00 .4523 .7000 1.0954
- .70 1.00 2.50 .3822 .7000 1.2140
- .70 1.00 3.00 .3306 .7000 1.3444
- .70 1.50 .25 .9953 .7000 15.8068
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- .70 1.50 1.00 .7884 .7000 1.3319
- .70 1.50 1.50 .6598 .7000 1.2064
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- .70 1.50 3.00 .4337 .7000 1.3859
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- .80 .75 1.00 .7427 .8000 .8079
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- .80 .75 3.00 .3469 .8000 1.0028
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- .80 1.00 .50 .9600 .8000 2.5000
- .80 1.00 1.00 .8000 .8000 1.0000
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- .80 1.00 2.00 .5528 .8000 .8944
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- .80 1.00 3.00 .4152 .8000 1.0260
- .80 1.50 .25 .9991 .8000 53.5108
- .80 1.50 .50 .9751 .8000 3.9855
- .80 1.50 1.00 .8618 .8000 1.3925
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- .80 1.50 2.00 .6508 .8000 1.0564
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- .80 1.50 3.00 .5137 .8000 1.1124
- .90 .75 .25 .9998 .9000 164.2657
- .90 .75 .50 .9857 .9000 3.4998
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- .90 .75 1.50 .7336 .9000 .5818
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- .90 .75 3.00 .4734 .9000 .6033
- .90 1.00 .25 .9999 .9000 250.0000
- .90 1.00 .50 .9900 .9000 5.0000
- .90 1.00 1.00 .9000 .9000 1.0000
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- .90 1.50 2.50 .6847 .9000 .7461
- .90 1.50 3.00 .6218 .9000 .7400
- .99 .75 .25 1.0000 .9900 164255.717
- .99 .75 .50 .9999 .9900 34.8318
- .99 .75 1.00 .9867 .9900 .7525
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- .99 1.00 .25 1.0000 .9900 249999.999
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- .99 1.50 2.50 .8786 .9900 .2020
- .99 1.50 3.00 .8302 .9900 .1724
+++ /dev/null
- P a b x cdf pdf
- .01 -5.00 .50 -20.9103 .0100 .0006
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- .90 1.00 .50 2.5388 .9000 .0608
- .90 1.00 .75 3.3083 .9000 .0405
- .90 1.00 1.00 4.0777 .9000 .0304
- .90 1.00 1.25 4.8471 .9000 .0243
- .90 1.00 1.50 5.6165 .9000 .0203
- .90 2.00 .50 3.5388 .9000 .0608
- .90 2.00 .75 4.3083 .9000 .0405
- .90 2.00 1.00 5.0777 .9000 .0304
- .90 2.00 1.25 5.8471 .9000 .0243
- .90 2.00 1.50 6.6165 .9000 .0203
- .90 3.00 .50 4.5388 .9000 .0608
- .90 3.00 .75 5.3083 .9000 .0405
- .90 3.00 1.00 6.0777 .9000 .0304
- .90 3.00 1.25 6.8471 .9000 .0243
- .90 3.00 1.50 7.6165 .9000 .0203
- .90 4.00 .50 5.5388 .9000 .0608
- .90 4.00 .75 6.3083 .9000 .0405
- .90 4.00 1.00 7.0777 .9000 .0304
- .90 4.00 1.25 7.8471 .9000 .0243
- .90 4.00 1.50 8.6165 .9000 .0203
- .90 5.00 .50 6.5388 .9000 .0608
- .90 5.00 .75 7.3083 .9000 .0405
- .90 5.00 1.00 8.0777 .9000 .0304
- .90 5.00 1.25 8.8471 .9000 .0243
- .90 5.00 1.50 9.6165 .9000 .0203
- .99 -5.00 .50 10.9103 .9900 .0006
- .99 -5.00 .75 18.8654 .9900 .0004
- .99 -5.00 1.00 26.8205 .9900 .0003
- .99 -5.00 1.25 34.7756 .9900 .0003
- .99 -5.00 1.50 42.7308 .9900 .0002
- .99 -4.00 .50 11.9103 .9900 .0006
- .99 -4.00 .75 19.8654 .9900 .0004
- .99 -4.00 1.00 27.8205 .9900 .0003
- .99 -4.00 1.25 35.7756 .9900 .0003
- .99 -4.00 1.50 43.7308 .9900 .0002
- .99 -3.00 .50 12.9103 .9900 .0006
- .99 -3.00 .75 20.8654 .9900 .0004
- .99 -3.00 1.00 28.8205 .9900 .0003
- .99 -3.00 1.25 36.7756 .9900 .0003
- .99 -3.00 1.50 44.7308 .9900 .0002
- .99 -2.00 .50 13.9103 .9900 .0006
- .99 -2.00 .75 21.8654 .9900 .0004
- .99 -2.00 1.00 29.8205 .9900 .0003
- .99 -2.00 1.25 37.7756 .9900 .0003
- .99 -2.00 1.50 45.7308 .9900 .0002
- .99 -1.00 .50 14.9103 .9900 .0006
- .99 -1.00 .75 22.8654 .9900 .0004
- .99 -1.00 1.00 30.8205 .9900 .0003
- .99 -1.00 1.25 38.7756 .9900 .0003
- .99 -1.00 1.50 46.7308 .9900 .0002
- .99 .00 .50 15.9103 .9900 .0006
- .99 .00 .75 23.8654 .9900 .0004
- .99 .00 1.00 31.8205 .9900 .0003
- .99 .00 1.25 39.7756 .9900 .0003
- .99 .00 1.50 47.7308 .9900 .0002
- .99 1.00 .50 16.9103 .9900 .0006
- .99 1.00 .75 24.8654 .9900 .0004
- .99 1.00 1.00 32.8205 .9900 .0003
- .99 1.00 1.25 40.7756 .9900 .0003
- .99 1.00 1.50 48.7308 .9900 .0002
- .99 2.00 .50 17.9103 .9900 .0006
- .99 2.00 .75 25.8654 .9900 .0004
- .99 2.00 1.00 33.8205 .9900 .0003
- .99 2.00 1.25 41.7756 .9900 .0003
- .99 2.00 1.50 49.7308 .9900 .0002
- .99 3.00 .50 18.9103 .9900 .0006
- .99 3.00 .75 26.8654 .9900 .0004
- .99 3.00 1.00 34.8205 .9900 .0003
- .99 3.00 1.25 42.7756 .9900 .0003
- .99 3.00 1.50 50.7308 .9900 .0002
- .99 4.00 .50 19.9103 .9900 .0006
- .99 4.00 .75 27.8654 .9900 .0004
- .99 4.00 1.00 35.8205 .9900 .0003
- .99 4.00 1.25 43.7756 .9900 .0003
- .99 4.00 1.50 51.7308 .9900 .0002
- .99 5.00 .50 20.9103 .9900 .0006
- .99 5.00 .75 28.8654 .9900 .0004
- .99 5.00 1.00 36.8205 .9900 .0003
- .99 5.00 1.25 44.7756 .9900 .0003
- .99 5.00 1.50 52.7308 .9900 .0002
+++ /dev/null
- P df x cdf pdf sig
- .01 1.00 .0002 .0100 31.8277 .9900
- .01 2.00 .0201 .0100 .4950 .9900
- .01 5.00 .5543 .0100 .0416 .9900
- .01 10.00 2.5582 .0100 .0155 .9900
- .10 1.00 .0158 .1000 3.1498 .9000
- .10 2.00 .2107 .1000 .4500 .9000
- .10 5.00 1.6103 .1000 .1215 .9000
- .10 10.00 4.8652 .1000 .0641 .9000
- .20 1.00 .0642 .2000 1.5250 .8000
- .20 2.00 .4463 .2000 .4000 .8000
- .20 5.00 2.3425 .2000 .1478 .8000
- .20 10.00 6.1791 .2000 .0864 .8000
- .30 1.00 .1485 .3000 .9613 .7000
- .30 2.00 .7133 .3000 .3500 .7000
- .30 5.00 2.9999 .3000 .1542 .7000
- .30 10.00 7.2672 .3000 .0960 .7000
- .40 1.00 .2750 .4000 .6630 .6000
- .40 2.00 1.0217 .4000 .3000 .6000
- .40 5.00 3.6555 .4000 .1494 .6000
- .40 10.00 8.2955 .4000 .0974 .6000
- .50 1.00 .4549 .5000 .4711 .5000
- .50 2.00 1.3863 .5000 .2500 .5000
- .50 5.00 4.3515 .5000 .1370 .5000
- .50 10.00 9.3418 .5000 .0929 .5000
- .60 1.00 .7083 .6000 .3326 .4000
- .60 2.00 1.8326 .6000 .2000 .4000
- .60 5.00 5.1319 .6000 .1188 .4000
- .60 10.00 10.4732 .6000 .0833 .4000
- .70 1.00 1.0742 .7000 .2250 .3000
- .70 2.00 2.4079 .7000 .1500 .3000
- .70 5.00 6.0644 .7000 .0957 .3000
- .70 10.00 11.7807 .7000 .0694 .3000
- .80 1.00 1.6424 .8000 .1369 .2000
- .80 2.00 3.2189 .8000 .1000 .2000
- .80 5.00 7.2893 .8000 .0684 .2000
- .80 10.00 13.4420 .8000 .0512 .2000
- .90 1.00 2.7055 .9000 .0627 .1000
- .90 2.00 4.6052 .9000 .0500 .1000
- .90 5.00 9.2364 .9000 .0368 .1000
- .90 10.00 15.9872 .9000 .0287 .1000
- .99 1.00 6.6349 .9900 .0056 .0100
- .99 2.00 9.2103 .9900 .0050 .0100
- .99 5.00 15.0863 .9900 .0041 .0100
- .99 10.00 23.2093 .9900 .0034 .0100
+++ /dev/null
-#! /usr/bin/perl -w
-
-use strict;
-use warnings 'all';
-
-my ($epsilon) = 1;
-
-open (EXPECTED, '<', $ARGV[0]) or die "$ARGV[0]: open: $!\n";
-open (ACTUAL, '<', $ARGV[1]) or die "$ARGV[1]: open: $!\n";
-
-my ($errors) = 0;
-LINE: for (;;) {
- my $a = <EXPECTED>;
- my $b = <ACTUAL>;
-
- last if !defined $a && !defined $b;
- die "$ARGV[0]:$.: unexpected end of file\n" if !defined $a;
- die "$ARGV[1]:$.: unexpected end of file\n" if !defined $b;
-
- my (@a) = split (' ', $a);
- my (@b) = split (' ', $b);
- die "$ARGV[1]:$.: contains ". scalar (@b) . " fields but should "
- . "contain " . scalar (@a) . "\n"
- if $#a != $#b;
- foreach my $i (0...$#a) {
- die "$ARGV[1]:$.: unexpected number of decimals\n"
- if count_decimals ($a[$i]) != count_decimals ($b[$i]);
-
- my ($an) = to_int ($a[$i]);
- my ($bn) = to_int ($b[$i]);
- if ($an ne $bn && ($bn < $an - $epsilon || $bn > $an + $epsilon)) {
- $errors++;
- if ($errors > 5) {
- print "$ARGV[1]: Additional differences suppressed.\n";
- last LINE;
- }
- print "$ARGV[1]:$.: Values differ from $ARGV[0]:$.\n";
- print "Expected:\n", $a;
- print "Calculated:\n", $b;
- }
- }
-}
-exit ($errors > 0);
-
-sub count_decimals {
- my ($s) = @_;
- return length (substr ($s, index ($s, '.')));
-}
-
-sub to_int {
- local ($_) = @_;
- s/\.//;
- return $_;
-}
+++ /dev/null
- P a x cdf pdf
- .01 1.00 .0101 .0100 .9900
- .01 2.00 .0050 .0100 1.9800
- .01 5.00 .0020 .0100 4.9500
- .01 10.00 .0010 .0100 9.9000
- .10 1.00 .1054 .1000 .9000
- .10 2.00 .0527 .1000 1.8000
- .10 5.00 .0211 .1000 4.5000
- .10 10.00 .0105 .1000 9.0000
- .20 1.00 .2231 .2000 .8000
- .20 2.00 .1116 .2000 1.6000
- .20 5.00 .0446 .2000 4.0000
- .20 10.00 .0223 .2000 8.0000
- .30 1.00 .3567 .3000 .7000
- .30 2.00 .1783 .3000 1.4000
- .30 5.00 .0713 .3000 3.5000
- .30 10.00 .0357 .3000 7.0000
- .40 1.00 .5108 .4000 .6000
- .40 2.00 .2554 .4000 1.2000
- .40 5.00 .1022 .4000 3.0000
- .40 10.00 .0511 .4000 6.0000
- .50 1.00 .6931 .5000 .5000
- .50 2.00 .3466 .5000 1.0000
- .50 5.00 .1386 .5000 2.5000
- .50 10.00 .0693 .5000 5.0000
- .60 1.00 .9163 .6000 .4000
- .60 2.00 .4581 .6000 .8000
- .60 5.00 .1833 .6000 2.0000
- .60 10.00 .0916 .6000 4.0000
- .70 1.00 1.2040 .7000 .3000
- .70 2.00 .6020 .7000 .6000
- .70 5.00 .2408 .7000 1.5000
- .70 10.00 .1204 .7000 3.0000
- .80 1.00 1.6094 .8000 .2000
- .80 2.00 .8047 .8000 .4000
- .80 5.00 .3219 .8000 1.0000
- .80 10.00 .1609 .8000 2.0000
- .90 1.00 2.3026 .9000 .1000
- .90 2.00 1.1513 .9000 .2000
- .90 5.00 .4605 .9000 .5000
- .90 10.00 .2303 .9000 1.0000
- .99 1.00 4.6052 .9900 .0100
- .99 2.00 2.3026 .9900 .0200
- .99 5.00 .9210 .9900 .0500
- .99 10.00 .4605 .9900 .1000
+++ /dev/null
- P df1 df2 x cdf pdf
- .01 1.00 1.00 .0002 .0100 20.2576
- .01 1.00 2.00 .0002 .0100 24.9950
- .01 1.00 5.00 .0002 .0100 28.8162
- .01 1.00 10.00 .0002 .0100 30.2774
- .01 2.00 1.00 .0102 .0100 .9703
- .01 2.00 2.00 .0101 .0100 .9801
- .01 2.00 5.00 .0101 .0100 .9860
- .01 2.00 10.00 .0101 .0100 .9880
- .01 5.00 1.00 .0615 .0100 .3238
- .01 5.00 2.00 .0753 .0100 .2793
- .01 5.00 5.00 .0912 .0100 .2417
- .01 5.00 10.00 .0995 .0100 .2261
- .01 10.00 1.00 .0996 .0100 .2704
- .01 10.00 2.00 .1323 .0100 .2275
- .01 10.00 5.00 .1774 .0100 .1907
- .01 10.00 10.00 .2062 .0100 .1747
- .10 1.00 1.00 .0251 .1000 1.9605
- .10 1.00 2.00 .0202 .1000 2.4503
- .10 1.00 5.00 .0175 .1000 2.8421
- .10 1.00 10.00 .0166 .1000 2.9915
- .10 2.00 1.00 .1173 .1000 .7290
- .10 2.00 2.00 .1111 .1000 .8100
- .10 2.00 5.00 .1076 .1000 .8629
- .10 2.00 10.00 .1065 .1000 .8812
- .10 5.00 1.00 .2463 .1000 .5220
- .10 5.00 2.00 .2646 .1000 .5687
- .10 5.00 5.00 .2896 .1000 .5934
- .10 5.00 10.00 .3033 .1000 .6006
- .10 10.00 1.00 .3044 .1000 .4857
- .10 10.00 2.00 .3419 .1000 .5396
- .10 10.00 5.00 .3966 .1000 .5816
- .10 10.00 10.00 .4306 .1000 .6031
- .20 1.00 1.00 .1056 .2000 .8861
- .20 1.00 2.00 .0833 .2000 1.1520
- .20 1.00 5.00 .0714 .2000 1.3616
- .20 1.00 10.00 .0677 .2000 1.4410
- .20 2.00 1.00 .2812 .2000 .5120
- .20 2.00 2.00 .2500 .2000 .6400
- .20 2.00 5.00 .2334 .2000 .7317
- .20 2.00 10.00 .2282 .2000 .7651
- .20 5.00 1.00 .4591 .2000 .4124
- .20 5.00 2.00 .4426 .2000 .5362
- .20 5.00 5.00 .4489 .2000 .6397
- .20 5.00 10.00 .4563 .2000 .6842
- .20 10.00 1.00 .5311 .2000 .3893
- .20 10.00 2.00 .5267 .2000 .5225
- .20 10.00 5.00 .5547 .2000 .6584
- .20 10.00 10.00 .5775 .2000 .7343
- .30 1.00 1.00 .2596 .3000 .4960
- .30 1.00 2.00 .1978 .3000 .6901
- .30 1.00 5.00 .1667 .3000 .8428
- .30 1.00 10.00 .1573 .3000 .9004
- .30 2.00 1.00 .5204 .3000 .3430
- .30 2.00 2.00 .4286 .3000 .4900
- .30 2.00 5.00 .3834 .3000 .6069
- .30 2.00 10.00 .3697 .3000 .6518
- .30 5.00 1.00 .7486 .3000 .2880
- .30 5.00 2.00 .6466 .3000 .4433
- .30 5.00 5.00 .6094 .3000 .5984
- .30 5.00 10.00 .6026 .3000 .6729
- .30 10.00 1.00 .8370 .3000 .2732
- .30 10.00 2.00 .7346 .3000 .4370
- .30 10.00 5.00 .7085 .3000 .6313
- .30 10.00 10.00 .7112 .3000 .7487
- .40 1.00 1.00 .5279 .4000 .2868
- .40 1.00 2.00 .3810 .4000 .4410
- .40 1.00 5.00 .3130 .4000 .5656
- .40 1.00 10.00 .2933 .4000 .6129
- .40 2.00 1.00 .8889 .4000 .2160
- .40 2.00 2.00 .6667 .4000 .3600
- .40 2.00 5.00 .5668 .4000 .4891
- .40 2.00 10.00 .5378 .4000 .5417
- .40 5.00 1.00 1.1826 .4000 .1847
- .40 5.00 2.00 .9035 .4000 .3396
- .40 5.00 5.00 .7879 .4000 .5199
- .40 5.00 10.00 .7573 .4000 .6147
- .40 10.00 1.00 1.2941 .4000 .1755
- .40 10.00 2.00 .9944 .4000 .3368
- .40 10.00 5.00 .8763 .4000 .5572
- .40 10.00 10.00 .8484 .4000 .7011
- .50 1.00 1.00 1.0000 .5000 .1592
- .50 1.00 2.00 .6667 .5000 .2813
- .50 1.00 5.00 .5281 .5000 .3865
- .50 1.00 10.00 .4897 .5000 .4274
- .50 2.00 1.00 1.5000 .5000 .1250
- .50 2.00 2.00 1.0000 .5000 .2500
- .50 2.00 5.00 .7988 .5000 .3789
- .50 2.00 10.00 .7435 .5000 .4353
- .50 5.00 1.00 1.8937 .5000 .1078
- .50 5.00 2.00 1.2519 .5000 .2418
- .50 5.00 5.00 1.0000 .5000 .4244
- .50 5.00 10.00 .9319 .5000 .5295
- .50 10.00 1.00 2.0419 .5000 .1025
- .50 10.00 2.00 1.3450 .5000 .2406
- .50 10.00 5.00 1.0730 .5000 .4599
- .50 10.00 10.00 1.0000 .5000 .6152
- .60 1.00 1.00 1.8944 .6000 .0799
- .60 1.00 2.00 1.1250 .6000 .1707
- .60 1.00 5.00 .8456 .6000 .2583
- .60 1.00 10.00 .7727 .6000 .2939
- .60 2.00 1.00 2.6250 .6000 .0640
- .60 2.00 2.00 1.5000 .6000 .1600
- .60 2.00 5.00 1.1067 .6000 .2773
- .60 2.00 10.00 1.0056 .6000 .3330
- .60 5.00 1.00 3.1953 .6000 .0554
- .60 5.00 2.00 1.7644 .6000 .1571
- .60 5.00 5.00 1.2692 .6000 .3227
- .60 5.00 10.00 1.1412 .6000 .4278
- .60 10.00 1.00 3.4100 .6000 .0527
- .60 10.00 2.00 1.8593 .6000 .1567
- .60 10.00 5.00 1.3204 .6000 .3526
- .60 10.00 10.00 1.1787 .6000 .5047
- .70 1.00 1.00 3.8518 .7000 .0334
- .70 1.00 2.00 1.9216 .7000 .0929
- .70 1.00 5.00 1.3358 .7000 .1614
- .70 1.00 10.00 1.1948 .7000 .1914
- .70 2.00 1.00 5.0556 .7000 .0270
- .70 2.00 2.00 2.3333 .7000 .0900
- .70 2.00 5.00 1.5466 .7000 .1853
- .70 2.00 10.00 1.3613 .7000 .2358
- .70 5.00 1.00 6.0006 .7000 .0234
- .70 5.00 2.00 2.6084 .7000 .0892
- .70 5.00 5.00 1.6410 .7000 .2222
- .70 5.00 10.00 1.4114 .7000 .3169
- .70 10.00 1.00 6.3579 .7000 .0223
- .70 10.00 2.00 2.7049 .7000 .0891
- .70 10.00 5.00 1.6595 .7000 .2443
- .70 10.00 10.00 1.4061 .7000 .3787
- .80 1.00 1.00 9.4721 .8000 .0099
- .80 1.00 2.00 3.5556 .8000 .0405
- .80 1.00 5.00 2.1782 .8000 .0869
- .80 1.00 10.00 1.8829 .8000 .1098
- .80 2.00 1.00 12.0000 .8000 .0080
- .80 2.00 2.00 4.0000 .8000 .0400
- .80 2.00 5.00 2.2591 .8000 .1051
- .80 2.00 10.00 1.8986 .8000 .1450
- .80 5.00 1.00 14.0084 .8000 .0069
- .80 5.00 2.00 4.2844 .8000 .0399
- .80 5.00 5.00 2.2275 .8000 .1289
- .80 5.00 10.00 1.8027 .8000 .2026
- .80 10.00 1.00 14.7719 .8000 .0066
- .80 10.00 2.00 4.3822 .8000 .0398
- .80 10.00 5.00 2.1914 .8000 .1425
- .80 10.00 10.00 1.7316 .8000 .2449
- .90 1.00 1.00 39.8635 .9000 .0012
- .90 1.00 2.00 8.5263 .9000 .0100
- .90 1.00 5.00 4.0604 .9000 .0317
- .90 1.00 10.00 3.2850 .9000 .0450
- .90 2.00 1.00 49.5000 .9000 .0010
- .90 2.00 2.00 9.0000 .9000 .0100
- .90 2.00 5.00 3.7797 .9000 .0398
- .90 2.00 10.00 2.9245 .9000 .0631
- .90 5.00 1.00 57.2401 .9000 .0009
- .90 5.00 2.00 9.2926 .9000 .0100
- .90 5.00 5.00 3.4530 .9000 .0498
- .90 5.00 10.00 2.5216 .9000 .0915
- .90 10.00 1.00 60.1950 .9000 .0008
- .90 10.00 2.00 9.3916 .9000 .0100
- .90 10.00 5.00 3.2974 .9000 .0552
- .90 10.00 10.00 2.3226 .9000 .1118
- .99 1.00 1.00 4052.1807 .9900 .0000
- .99 1.00 2.00 98.5025 .9900 .0001
- .99 1.00 5.00 16.2582 .9900 .0012
- .99 1.00 10.00 10.0443 .9900 .0027
- .99 2.00 1.00 4999.5000 .9900 .0000
- .99 2.00 2.00 99.0000 .9900 .0001
- .99 2.00 5.00 13.2739 .9900 .0016
- .99 2.00 10.00 7.5594 .9900 .0040
- .99 5.00 1.00 5763.6496 .9900 .0000
- .99 5.00 2.00 99.2993 .9900 .0001
- .99 5.00 5.00 10.9670 .9900 .0020
- .99 5.00 10.00 5.6363 .9900 .0060
- .99 10.00 1.00 6055.8467 .9900 .0000
- .99 10.00 2.00 99.3992 .9900 .0001
- .99 10.00 5.00 10.0510 .9900 .0022
- .99 10.00 10.00 4.8491 .9900 .0074
+++ /dev/null
- P a b x cdf pdf
- .01 .50 -10.00 . . .
- .01 .50 -5.00 . . .
- .01 .50 .00 . . .
- .01 .50 5.00 .0000 .0100 318.2766
- .01 .50 10.00 .0000 .0100 636.5531
- .01 1.00 -10.00 . . .
- .01 1.00 -5.00 . . .
- .01 1.00 .00 . . .
- .01 1.00 5.00 .0020 .0100 4.9500
- .01 1.00 10.00 .0010 .0100 9.9000
- .01 2.00 -10.00 . . .
- .01 2.00 -5.00 . . .
- .01 2.00 .00 . . .
- .01 2.00 5.00 .0297 .0100 .6402
- .01 2.00 10.00 .0149 .0100 1.2805
- .01 5.00 -10.00 . . .
- .01 5.00 -5.00 . . .
- .01 5.00 .00 . . .
- .01 5.00 5.00 .2558 .0100 .1552
- .01 5.00 10.00 .1279 .0100 .3104
- .10 .50 -10.00 . . .
- .10 .50 -5.00 . . .
- .10 .50 .00 . . .
- .10 .50 5.00 .0016 .1000 31.4977
- .10 .50 10.00 .0008 .1000 62.9955
- .10 1.00 -10.00 . . .
- .10 1.00 -5.00 . . .
- .10 1.00 .00 . . .
- .10 1.00 5.00 .0211 .1000 4.5000
- .10 1.00 10.00 .0105 .1000 9.0000
- .10 2.00 -10.00 . . .
- .10 2.00 -5.00 . . .
- .10 2.00 .00 . . .
- .10 2.00 5.00 .1064 .1000 1.5623
- .10 2.00 10.00 .0532 .1000 3.1246
- .10 5.00 -10.00 . . .
- .10 5.00 -5.00 . . .
- .10 5.00 .00 . . .
- .10 5.00 5.00 .4865 .1000 .6406
- .10 5.00 10.00 .2433 .1000 1.2812
- .20 .50 -10.00 . . .
- .20 .50 -5.00 . . .
- .20 .50 .00 . . .
- .20 .50 5.00 .0064 .2000 15.2495
- .20 .50 10.00 .0032 .2000 30.4991
- .20 1.00 -10.00 . . .
- .20 1.00 -5.00 . . .
- .20 1.00 .00 . . .
- .20 1.00 5.00 .0446 .2000 4.0000
- .20 1.00 10.00 .0223 .2000 8.0000
- .20 2.00 -10.00 . . .
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- .30 -5.00 2.00 -6.0488 .3000 .1738
- .30 -5.00 5.00 -7.6220 .3000 .0695
- .30 .00 .50 -.2622 .3000 .6954
- .30 .00 1.00 -.5244 .3000 .3477
- .30 .00 2.00 -1.0488 .3000 .1738
- .30 .00 5.00 -2.6220 .3000 .0695
- .30 5.00 .50 4.7378 .3000 .6954
- .30 5.00 1.00 4.4756 .3000 .3477
- .30 5.00 2.00 3.9512 .3000 .1738
- .30 5.00 5.00 2.3780 .3000 .0695
- .30 10.00 .50 9.7378 .3000 .6954
- .30 10.00 1.00 9.4756 .3000 .3477
- .30 10.00 2.00 8.9512 .3000 .1738
- .30 10.00 5.00 7.3780 .3000 .0695
- .40 -10.00 .50 -10.1267 .4000 .7727
- .40 -10.00 1.00 -10.2533 .4000 .3863
- .40 -10.00 2.00 -10.5067 .4000 .1932
- .40 -10.00 5.00 -11.2667 .4000 .0773
- .40 -5.00 .50 -5.1267 .4000 .7727
- .40 -5.00 1.00 -5.2533 .4000 .3863
- .40 -5.00 2.00 -5.5067 .4000 .1932
- .40 -5.00 5.00 -6.2667 .4000 .0773
- .40 .00 .50 -.1267 .4000 .7727
- .40 .00 1.00 -.2533 .4000 .3863
- .40 .00 2.00 -.5067 .4000 .1932
- .40 .00 5.00 -1.2667 .4000 .0773
- .40 5.00 .50 4.8733 .4000 .7727
- .40 5.00 1.00 4.7467 .4000 .3863
- .40 5.00 2.00 4.4933 .4000 .1932
- .40 5.00 5.00 3.7333 .4000 .0773
- .40 10.00 .50 9.8733 .4000 .7727
- .40 10.00 1.00 9.7467 .4000 .3863
- .40 10.00 2.00 9.4933 .4000 .1932
- .40 10.00 5.00 8.7333 .4000 .0773
- .50 -10.00 .50 -10.0000 .5000 .7979
- .50 -10.00 1.00 -10.0000 .5000 .3989
- .50 -10.00 2.00 -10.0000 .5000 .1995
- .50 -10.00 5.00 -10.0000 .5000 .0798
- .50 -5.00 .50 -5.0000 .5000 .7979
- .50 -5.00 1.00 -5.0000 .5000 .3989
- .50 -5.00 2.00 -5.0000 .5000 .1995
- .50 -5.00 5.00 -5.0000 .5000 .0798
- .50 .00 .50 .0000 .5000 .7979
- .50 .00 1.00 .0000 .5000 .3989
- .50 .00 2.00 .0000 .5000 .1995
- .50 .00 5.00 .0000 .5000 .0798
- .50 5.00 .50 5.0000 .5000 .7979
- .50 5.00 1.00 5.0000 .5000 .3989
- .50 5.00 2.00 5.0000 .5000 .1995
- .50 5.00 5.00 5.0000 .5000 .0798
- .50 10.00 .50 10.0000 .5000 .7979
- .50 10.00 1.00 10.0000 .5000 .3989
- .50 10.00 2.00 10.0000 .5000 .1995
- .50 10.00 5.00 10.0000 .5000 .0798
- .60 -10.00 .50 -9.8733 .6000 .7727
- .60 -10.00 1.00 -9.7467 .6000 .3863
- .60 -10.00 2.00 -9.4933 .6000 .1932
- .60 -10.00 5.00 -8.7333 .6000 .0773
- .60 -5.00 .50 -4.8733 .6000 .7727
- .60 -5.00 1.00 -4.7467 .6000 .3863
- .60 -5.00 2.00 -4.4933 .6000 .1932
- .60 -5.00 5.00 -3.7333 .6000 .0773
- .60 .00 .50 .1267 .6000 .7727
- .60 .00 1.00 .2533 .6000 .3863
- .60 .00 2.00 .5067 .6000 .1932
- .60 .00 5.00 1.2667 .6000 .0773
- .60 5.00 .50 5.1267 .6000 .7727
- .60 5.00 1.00 5.2533 .6000 .3863
- .60 5.00 2.00 5.5067 .6000 .1932
- .60 5.00 5.00 6.2667 .6000 .0773
- .60 10.00 .50 10.1267 .6000 .7727
- .60 10.00 1.00 10.2533 .6000 .3863
- .60 10.00 2.00 10.5067 .6000 .1932
- .60 10.00 5.00 11.2667 .6000 .0773
- .70 -10.00 .50 -9.7378 .7000 .6954
- .70 -10.00 1.00 -9.4756 .7000 .3477
- .70 -10.00 2.00 -8.9512 .7000 .1738
- .70 -10.00 5.00 -7.3780 .7000 .0695
- .70 -5.00 .50 -4.7378 .7000 .6954
- .70 -5.00 1.00 -4.4756 .7000 .3477
- .70 -5.00 2.00 -3.9512 .7000 .1738
- .70 -5.00 5.00 -2.3780 .7000 .0695
- .70 .00 .50 .2622 .7000 .6954
- .70 .00 1.00 .5244 .7000 .3477
- .70 .00 2.00 1.0488 .7000 .1738
- .70 .00 5.00 2.6220 .7000 .0695
- .70 5.00 .50 5.2622 .7000 .6954
- .70 5.00 1.00 5.5244 .7000 .3477
- .70 5.00 2.00 6.0488 .7000 .1738
- .70 5.00 5.00 7.6220 .7000 .0695
- .70 10.00 .50 10.2622 .7000 .6954
- .70 10.00 1.00 10.5244 .7000 .3477
- .70 10.00 2.00 11.0488 .7000 .1738
- .70 10.00 5.00 12.6220 .7000 .0695
- .80 -10.00 .50 -9.5792 .8000 .5599
- .80 -10.00 1.00 -9.1584 .8000 .2800
- .80 -10.00 2.00 -8.3168 .8000 .1400
- .80 -10.00 5.00 -5.7919 .8000 .0560
- .80 -5.00 .50 -4.5792 .8000 .5599
- .80 -5.00 1.00 -4.1584 .8000 .2800
- .80 -5.00 2.00 -3.3168 .8000 .1400
- .80 -5.00 5.00 -.7919 .8000 .0560
- .80 .00 .50 .4208 .8000 .5599
- .80 .00 1.00 .8416 .8000 .2800
- .80 .00 2.00 1.6832 .8000 .1400
- .80 .00 5.00 4.2081 .8000 .0560
- .80 5.00 .50 5.4208 .8000 .5599
- .80 5.00 1.00 5.8416 .8000 .2800
- .80 5.00 2.00 6.6832 .8000 .1400
- .80 5.00 5.00 9.2081 .8000 .0560
- .80 10.00 .50 10.4208 .8000 .5599
- .80 10.00 1.00 10.8416 .8000 .2800
- .80 10.00 2.00 11.6832 .8000 .1400
- .80 10.00 5.00 14.2081 .8000 .0560
- .90 -10.00 .50 -9.3592 .9000 .3510
- .90 -10.00 1.00 -8.7184 .9000 .1755
- .90 -10.00 2.00 -7.4369 .9000 .0877
- .90 -10.00 5.00 -3.5922 .9000 .0351
- .90 -5.00 .50 -4.3592 .9000 .3510
- .90 -5.00 1.00 -3.7184 .9000 .1755
- .90 -5.00 2.00 -2.4369 .9000 .0877
- .90 -5.00 5.00 1.4078 .9000 .0351
- .90 .00 .50 .6408 .9000 .3510
- .90 .00 1.00 1.2816 .9000 .1755
- .90 .00 2.00 2.5631 .9000 .0877
- .90 .00 5.00 6.4078 .9000 .0351
- .90 5.00 .50 5.6408 .9000 .3510
- .90 5.00 1.00 6.2816 .9000 .1755
- .90 5.00 2.00 7.5631 .9000 .0877
- .90 5.00 5.00 11.4078 .9000 .0351
- .90 10.00 .50 10.6408 .9000 .3510
- .90 10.00 1.00 11.2816 .9000 .1755
- .90 10.00 2.00 12.5631 .9000 .0877
- .90 10.00 5.00 16.4078 .9000 .0351
- .99 -10.00 .50 -8.8368 .9900 .0533
- .99 -10.00 1.00 -7.6737 .9900 .0267
- .99 -10.00 2.00 -5.3473 .9900 .0133
- .99 -10.00 5.00 1.6317 .9900 .0053
- .99 -5.00 .50 -3.8368 .9900 .0533
- .99 -5.00 1.00 -2.6737 .9900 .0267
- .99 -5.00 2.00 -.3473 .9900 .0133
- .99 -5.00 5.00 6.6317 .9900 .0053
- .99 .00 .50 1.1632 .9900 .0533
- .99 .00 1.00 2.3263 .9900 .0267
- .99 .00 2.00 4.6527 .9900 .0133
- .99 .00 5.00 11.6317 .9900 .0053
- .99 5.00 .50 6.1632 .9900 .0533
- .99 5.00 1.00 7.3263 .9900 .0267
- .99 5.00 2.00 9.6527 .9900 .0133
- .99 5.00 5.00 16.6317 .9900 .0053
- .99 10.00 .50 11.1632 .9900 .0533
- .99 10.00 1.00 12.3263 .9900 .0267
- .99 10.00 2.00 14.6527 .9900 .0133
- .99 10.00 5.00 21.6317 .9900 .0053
+++ /dev/null
- P a b x cdf pdf
- .01 1.00 1.00 1.0101 .0100 .9801
- .01 1.00 2.00 1.0050 .0100 1.9701
- .01 1.00 5.00 1.0020 .0100 4.9401
- .01 1.00 10.00 1.0010 .0100 9.8901
- .01 5.00 1.00 5.0505 .0100 .1960
- .01 5.00 2.00 5.0252 .0100 .3940
- .01 5.00 5.00 5.0101 .0100 .9880
- .01 5.00 10.00 5.0050 .0100 1.9780
- .01 10.00 1.00 10.1010 .0100 .0980
- .01 10.00 2.00 10.0504 .0100 .1970
- .01 10.00 5.00 10.0201 .0100 .4940
- .01 10.00 10.00 10.0101 .0100 .9890
- .10 1.00 1.00 1.1111 .1000 .8100
- .10 1.00 2.00 1.0541 .1000 1.7076
- .10 1.00 5.00 1.0213 .1000 4.4062
- .10 1.00 10.00 1.0106 .1000 8.9057
- .10 5.00 1.00 5.5556 .1000 .1620
- .10 5.00 2.00 5.2705 .1000 .3415
- .10 5.00 5.00 5.1065 .1000 .8812
- .10 5.00 10.00 5.0530 .1000 1.7811
- .10 10.00 1.00 11.1111 .1000 .0810
- .10 10.00 2.00 10.5409 .1000 .1708
- .10 10.00 5.00 10.2130 .1000 .4406
- .10 10.00 10.00 10.1059 .1000 .8906
- .20 1.00 1.00 1.2500 .2000 .6400
- .20 1.00 2.00 1.1180 .2000 1.4311
- .20 1.00 5.00 1.0456 .2000 3.8254
- .20 1.00 10.00 1.0226 .2000 7.8235
- .20 5.00 1.00 6.2500 .2000 .1280
- .20 5.00 2.00 5.5902 .2000 .2862
- .20 5.00 5.00 5.2282 .2000 .7651
- .20 5.00 10.00 5.1128 .2000 1.5647
- .20 10.00 1.00 12.5000 .2000 .0640
- .20 10.00 2.00 11.1803 .2000 .1431
- .20 10.00 5.00 10.4564 .2000 .3825
- .20 10.00 10.00 10.2257 .2000 .7823
- .30 1.00 1.00 1.4286 .3000 .4900
- .30 1.00 2.00 1.1952 .3000 1.1713
- .30 1.00 5.00 1.0739 .3000 3.2590
- .30 1.00 10.00 1.0363 .3000 6.7547
- .30 5.00 1.00 7.1429 .3000 .0980
- .30 5.00 2.00 5.9761 .3000 .2343
- .30 5.00 5.00 5.3697 .3000 .6518
- .30 5.00 10.00 5.1816 .3000 1.3509
- .30 10.00 1.00 14.2857 .3000 .0490
- .30 10.00 2.00 11.9523 .3000 .1171
- .30 10.00 5.00 10.7394 .3000 .3259
- .30 10.00 10.00 10.3631 .3000 .6755
- .40 1.00 1.00 1.6667 .4000 .3600
- .40 1.00 2.00 1.2910 .4000 .9295
- .40 1.00 5.00 1.1076 .4000 2.7086
- .40 1.00 10.00 1.0524 .4000 5.7012
- .40 5.00 1.00 8.3333 .4000 .0720
- .40 5.00 2.00 6.4550 .4000 .1859
- .40 5.00 5.00 5.5378 .4000 .5417
- .40 5.00 10.00 5.2620 .4000 1.1402
- .40 10.00 1.00 16.6667 .4000 .0360
- .40 10.00 2.00 12.9099 .4000 .0930
- .40 10.00 5.00 11.0757 .4000 .2709
- .40 10.00 10.00 10.5241 .4000 .5701
- .50 1.00 1.00 2.0000 .5000 .2500
- .50 1.00 2.00 1.4142 .5000 .7071
- .50 1.00 5.00 1.1487 .5000 2.1764
- .50 1.00 10.00 1.0718 .5000 4.6652
- .50 5.00 1.00 10.0000 .5000 .0500
- .50 5.00 2.00 7.0711 .5000 .1414
- .50 5.00 5.00 5.7435 .5000 .4353
- .50 5.00 10.00 5.3589 .5000 .9330
- .50 10.00 1.00 20.0000 .5000 .0250
- .50 10.00 2.00 14.1421 .5000 .0707
- .50 10.00 5.00 11.4870 .5000 .2176
- .50 10.00 10.00 10.7177 .5000 .4665
- .60 1.00 1.00 2.5000 .6000 .1600
- .60 1.00 2.00 1.5811 .6000 .5060
- .60 1.00 5.00 1.2011 .6000 1.6651
- .60 1.00 10.00 1.0960 .6000 3.6498
- .60 5.00 1.00 12.5000 .6000 .0320
- .60 5.00 2.00 7.9057 .6000 .1012
- .60 5.00 5.00 6.0056 .6000 .3330
- .60 5.00 10.00 5.4798 .6000 .7300
- .60 10.00 1.00 25.0000 .6000 .0160
- .60 10.00 2.00 15.8114 .6000 .0506
- .60 10.00 5.00 12.0112 .6000 .1665
- .60 10.00 10.00 10.9596 .6000 .3650
- .70 1.00 1.00 3.3333 .7000 .0900
- .70 1.00 2.00 1.8257 .7000 .3286
- .70 1.00 5.00 1.2723 .7000 1.1790
- .70 1.00 10.00 1.1279 .7000 2.6597
- .70 5.00 1.00 16.6667 .7000 .0180
- .70 5.00 2.00 9.1287 .7000 .0657
- .70 5.00 5.00 6.3613 .7000 .2358
- .70 5.00 10.00 5.6397 .7000 .5319
- .70 10.00 1.00 33.3333 .7000 .0090
- .70 10.00 2.00 18.2574 .7000 .0329
- .70 10.00 5.00 12.7226 .7000 .1179
- .70 10.00 10.00 11.2794 .7000 .2660
- .80 1.00 1.00 5.0000 .8000 .0400
- .80 1.00 2.00 2.2361 .8000 .1789
- .80 1.00 5.00 1.3797 .8000 .7248
- .80 1.00 10.00 1.1746 .8000 1.7027
- .80 5.00 1.00 25.0000 .8000 .0080
- .80 5.00 2.00 11.1803 .8000 .0358
- .80 5.00 5.00 6.8986 .8000 .1450
- .80 5.00 10.00 5.8731 .8000 .3405
- .80 10.00 1.00 50.0000 .8000 .0040
- .80 10.00 2.00 22.3607 .8000 .0179
- .80 10.00 5.00 13.7973 .8000 .0725
- .80 10.00 10.00 11.7462 .8000 .1703
- .90 1.00 1.00 10.0000 .9000 .0100
- .90 1.00 2.00 3.1623 .9000 .0632
- .90 1.00 5.00 1.5849 .9000 .3155
- .90 1.00 10.00 1.2589 .9000 .7943
- .90 5.00 1.00 50.0000 .9000 .0020
- .90 5.00 2.00 15.8114 .9000 .0126
- .90 5.00 5.00 7.9245 .9000 .0631
- .90 5.00 10.00 6.2946 .9000 .1589
- .90 10.00 1.00 100.0000 .9000 .0010
- .90 10.00 2.00 31.6228 .9000 .0063
- .90 10.00 5.00 15.8489 .9000 .0315
- .90 10.00 10.00 12.5893 .9000 .0794
- .99 1.00 1.00 100.0000 .9900 .0001
- .99 1.00 2.00 10.0000 .9900 .0020
- .99 1.00 5.00 2.5119 .9900 .0199
- .99 1.00 10.00 1.5849 .9900 .0631
- .99 5.00 1.00 500.0000 .9900 .0000
- .99 5.00 2.00 50.0000 .9900 .0004
- .99 5.00 5.00 12.5594 .9900 .0040
- .99 5.00 10.00 7.9245 .9900 .0126
- .99 10.00 1.00 1000.0000 .9900 .0000
- .99 10.00 2.00 100.0000 .9900 .0002
- .99 10.00 5.00 25.1189 .9900 .0020
- .99 10.00 10.00 15.8489 .9900 .0063
+++ /dev/null
-use strict;
-use warnings 'all';
-
-our (@funcs);
-our (@vars);
-our (%values);
-
-while (<>) {
- chomp;
- s/#.*//;
- next if /^\s*$/;
- my ($dist) = /^(.+):\s*$/ or die;
-
- @funcs = ();
- @vars = ();
- %values = ('P' => [.01, .1, .2, .3, .4, .5, .6, .7, .8, .9, .99]);
- while (<>) {
- last if /^\s*$/;
-
- my ($key, $value) = /^\s*(\w+)\s*=\s*(.*)$/;
- my (@values);
- foreach my $s (split (/\s+/, $value)) {
- if (my ($from, $to, $by) = $s =~ /^(.*):(.*):(.*)$/) {
- for (my ($x) = $from; $x <= $to; $x += $by) {
- push (@values, sprintf ("%.2f", $x) + 0);
- }
- } else {
- push (@values, $s);
- }
- }
-
- if ($key eq 'funcs') {
- @funcs = @values;
- } else {
- push (@vars, $key);
- $values{$key} = \@values;
- }
- }
-
- print "DATA LIST LIST/", join (' ', 'P', @vars), ".\n";
- print "NUMERIC ", join (' ', 'x', @funcs), " (F10.4)\n";
- print "COMPUTE x = IDF.$dist (", join (', ', 'P', @vars), ").\n";
- foreach my $func (@funcs) {
- print "COMPUTE $func = $func.$dist (",
- join (', ', 'x', @vars), ").\n";
- }
- my (@print) = ('P', @vars, 'x', @funcs);
- print "DO IF \$CASENUM = 1.\n";
- print "PRINT OUTFILE='$dist.out'/'", heading (@print), "'\n";
- print "END IF.\n";
- print "PRINT OUTFILE='$dist.out'/",
- join (' ', @print), ".\n";
- print "BEGIN DATA.\n";
- print_all_values (['P', @vars], []);
- print "END DATA.\n";
-}
-
-sub print_all_values {
- my (@vars) = @{$_[0]};
- my (@assign) = @{$_[1]};
- if (@vars == @assign) {
- print join (' ', @assign), "\n";
- } else {
- push (@assign, 0);
- my ($var) = $vars[$#assign];
- foreach my $value (@{$values{$var}}) {
- $assign[$#assign] = $value;
- print_all_values (\@vars, \@assign);
- }
- }
-}
-
-sub heading {
- my (@names) = @_;
- my ($out);
- $out .= pad_to (shift (@names), 8) while $names[0] ne 'x';
- $out .= pad_to (shift (@names), 10) while @names;
- return $out;
-}
-
-sub pad_to {
- my ($s, $n) = @_;
- return (' ' x ($n - length ($s))) . $s . ' ';
-}
+++ /dev/null
-beta:
- funcs = cdf pdf
- a = .75 1 1.5
- b = .25 .5 1 1.5 2 2.5 3
-
-cauchy:
- funcs = cdf pdf
- a = -5:5:1
- b = .5:1.5:.25
-
-chisq:
- funcs = cdf pdf sig
- df = 1 2 5 10
-
-exp:
- funcs = cdf pdf
- a = 1 2 5 10
-
-f:
- funcs = cdf pdf
- df1 = 1 2 5 10
- df2 = 1 2 5 10
-
-gamma:
- funcs = cdf pdf
- a = .5 1 2 5
- b = -10:10:5
-
-laplace:
- funcs = cdf pdf
- a = -10:10:5
- b = .5 1 2 5
-
-logistic:
- funcs = cdf pdf
- a = -10:10:5
- b = .5 1 2 5
-
-lnormal:
- funcs = cdf pdf
- z = .5 1 2 5
- s = .5 1 2 5
-
-normal:
- funcs = cdf pdf
- u = -10:10:5
- s = .5 1 2 5
-
-pareto:
- funcs = cdf pdf
- a = 1 5 10
- b = 1 2 5 10
-
-t:
- funcs = cdf pdf
- df = 1 2 3 4 5 10 30 100
-
-uniform:
- funcs = cdf pdf
- a = -10 0 20 30
- b = 40 41 45 50
-
-weibull:
- funcs = cdf pdf
- a = .5 1 2 5
- b = 1 2 4 8
+++ /dev/null
- P df x cdf pdf
- .01 1.00 -31.8205 .0100 .0003
- .01 2.00 -6.9646 .0100 .0028
- .01 3.00 -4.5407 .0100 .0059
- .01 4.00 -3.7469 .0100 .0087
- .01 5.00 -3.3649 .0100 .0109
- .01 10.00 -2.7638 .0100 .0172
- .01 30.00 -2.4573 .0100 .0231
- .01 100.00 -2.3642 .0100 .0255
- .10 1.00 -3.0777 .1000 .0304
- .10 2.00 -1.8856 .1000 .0764
- .10 3.00 -1.6377 .1000 .1025
- .10 4.00 -1.5332 .1000 .1181
- .10 5.00 -1.4759 .1000 .1283
- .10 10.00 -1.3722 .1000 .1507
- .10 30.00 -1.3104 .1000 .1670
- .10 100.00 -1.2901 .1000 .1729
- .20 1.00 -1.3764 .2000 .1100
- .20 2.00 -1.0607 .2000 .1810
- .20 3.00 -.9785 .2000 .2112
- .20 4.00 -.9410 .2000 .2275
- .20 5.00 -.9195 .2000 .2376
- .20 10.00 -.8791 .2000 .2584
- .20 30.00 -.8538 .2000 .2727
- .20 100.00 -.8452 .2000 .2778
- .30 1.00 -.7265 .3000 .2083
- .30 2.00 -.6172 .3000 .2722
- .30 3.00 -.5844 .3000 .2963
- .30 4.00 -.5686 .3000 .3088
- .30 5.00 -.5594 .3000 .3164
- .30 10.00 -.5415 .3000 .3319
- .30 30.00 -.5300 .3000 .3424
- .30 100.00 -.5261 .3000 .3461
- .40 1.00 -.3249 .4000 .2879
- .40 2.00 -.2887 .4000 .3326
- .40 3.00 -.2767 .4000 .3495
- .40 4.00 -.2707 .4000 .3584
- .40 5.00 -.2672 .4000 .3638
- .40 10.00 -.2602 .4000 .3749
- .40 30.00 -.2556 .4000 .3825
- .40 100.00 -.2540 .4000 .3852
- .50 1.00 .0000 .5000 .3183
- .50 2.00 .0000 .5000 .3536
- .50 3.00 .0000 .5000 .3676
- .50 4.00 .0000 .5000 .3750
- .50 5.00 .0000 .5000 .3796
- .50 10.00 .0000 .5000 .3891
- .50 30.00 .0000 .5000 .3956
- .50 100.00 .0000 .5000 .3979
- .60 1.00 .3249 .6000 .2879
- .60 2.00 .2887 .6000 .3326
- .60 3.00 .2767 .6000 .3495
- .60 4.00 .2707 .6000 .3584
- .60 5.00 .2672 .6000 .3638
- .60 10.00 .2602 .6000 .3749
- .60 30.00 .2556 .6000 .3825
- .60 100.00 .2540 .6000 .3852
- .70 1.00 .7265 .7000 .2083
- .70 2.00 .6172 .7000 .2722
- .70 3.00 .5844 .7000 .2963
- .70 4.00 .5686 .7000 .3088
- .70 5.00 .5594 .7000 .3164
- .70 10.00 .5415 .7000 .3319
- .70 30.00 .5300 .7000 .3424
- .70 100.00 .5261 .7000 .3461
- .80 1.00 1.3764 .8000 .1100
- .80 2.00 1.0607 .8000 .1810
- .80 3.00 .9785 .8000 .2112
- .80 4.00 .9410 .8000 .2275
- .80 5.00 .9195 .8000 .2376
- .80 10.00 .8791 .8000 .2584
- .80 30.00 .8538 .8000 .2727
- .80 100.00 .8452 .8000 .2778
- .90 1.00 3.0777 .9000 .0304
- .90 2.00 1.8856 .9000 .0764
- .90 3.00 1.6377 .9000 .1025
- .90 4.00 1.5332 .9000 .1181
- .90 5.00 1.4759 .9000 .1283
- .90 10.00 1.3722 .9000 .1507
- .90 30.00 1.3104 .9000 .1670
- .90 100.00 1.2901 .9000 .1729
- .99 1.00 31.8205 .9900 .0003
- .99 2.00 6.9646 .9900 .0028
- .99 3.00 4.5407 .9900 .0059
- .99 4.00 3.7469 .9900 .0087
- .99 5.00 3.3649 .9900 .0109
- .99 10.00 2.7638 .9900 .0172
- .99 30.00 2.4573 .9900 .0231
- .99 100.00 2.3642 .9900 .0255
+++ /dev/null
- P a b x cdf pdf
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- .80 30.00 45.00 42.0000 .8000 .0667
- .80 30.00 50.00 46.0000 .8000 .0500
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+++ /dev/null
- P a b x cdf pdf
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- .01 .50 2.00 .0501 .0100 .3970
- .01 .50 4.00 .1583 .0100 .2514
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- .40 5.00 4.00 4.2271 .4000 .2900
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- .60 5.00 1.00 4.5815 .6000 .0800
- .60 5.00 2.00 4.7862 .6000 .1532
- .60 5.00 4.00 4.8919 .6000 .2997
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- .70 .50 1.00 .6020 .7000 .6000
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- .70 2.00 1.00 2.4079 .7000 .1500
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- .90 2.00 4.00 2.4637 .9000 .3738
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- .99 2.00 8.00 2.4207 .9900 .1522
- .99 5.00 1.00 23.0259 .9900 .0020
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- .99 5.00 8.00 6.0517 .9900 .0609
--- /dev/null
+AT_BANNER([random distributions])
+
+m4_divert_push([PREPARE_TESTS])
+[randist_compare () {
+ cat > compare.pl <<'EOF'
+use strict;
+use warnings 'all';
+
+my ($epsilon) = 1;
+
+open (EXPECTED, '<', $ARGV[0]) or die "$ARGV[0]: open: $!\n";
+open (ACTUAL, '<', $ARGV[1]) or die "$ARGV[1]: open: $!\n";
+
+my ($errors) = 0;
+LINE: for (;;) {
+ my $a = <EXPECTED>;
+ my $b = <ACTUAL>;
+
+ last if !defined $a && !defined $b;
+ die "$ARGV[0]:$.: unexpected end of file\n" if !defined $a;
+ die "$ARGV[1]:$.: unexpected end of file\n" if !defined $b;
+
+ my (@a) = split (' ', $a);
+ my (@b) = split (' ', $b);
+ die "$ARGV[1]:$.: contains ". scalar (@b) . " fields but should "
+ . "contain " . scalar (@a) . "\n"
+ if $#a != $#b;
+ foreach my $i (0...$#a) {
+ die "$ARGV[1]:$.: unexpected number of decimals\n"
+ if count_decimals ($a[$i]) != count_decimals ($b[$i]);
+
+ my ($an) = to_int ($a[$i]);
+ my ($bn) = to_int ($b[$i]);
+ if ($an ne $bn && ($bn < $an - $epsilon || $bn > $an + $epsilon)) {
+ $errors++;
+ if ($errors > 50) {
+ print "$ARGV[1]: Additional differences suppressed.\n";
+ last LINE;
+ }
+ print "$ARGV[1]:$.: Values differ from $ARGV[0]:$.\n";
+ print "Expected:\n", $a;
+ print "Calculated:\n", $b;
+ }
+ }
+}
+exit ($errors > 0);
+
+sub count_decimals {
+ my ($s) = @_;
+ return length (substr ($s, index ($s, '.')));
+}
+
+sub to_int {
+ local ($_) = @_;
+ s/\.//;
+ return $_;
+}
+EOF
+}]
+m4_divert_pop([PREPARE_TESTS])
+
+m4_define([RANDIST_CHECK],
+ [AT_SETUP([random distributions -- $1])
+ randist_compare
+ AT_DATA([$1.in], [$4])
+ AT_DATA([$1.sps], [dnl
+DATA LIST LIST FILE='$1.in' NOTABLE SKIP=1
+ /P $2[]m4_foreach_w([function], [x $3], [ X[]function]).
+NUMERIC x $3 (F10.4).
+COMPUTE x = IDF.$1(P[]m4_foreach_w([variable], [$2], [, variable])).
+m4_foreach_w([function], [$3],
+ [COMPUTE function = function[].$1[](x[]m4_foreach_w([variable], [$2], [, variable])).
+])dnl
+DO IF $CASENUM = 1.
+PRINT OUTFILE='$1.out'/"dnl
+m4_foreach_w([variable], [P $2], [m4_format([%8s ], variable)])dnl
+m4_foreach_w([function], [x $3], [m4_format([%10s ], function)])".
+END IF.
+PRINT OUTFILE='$1.out'/P $2 x $3.
+EXECUTE.
+])
+ AT_CHECK([pspp -O format=csv $1.sps])
+ AT_CHECK([$PERL compare.pl $1.in $1.out])
+ AT_CLEANUP])
+
+RANDIST_CHECK([beta], [a b], [cdf pdf], [dnl
+ P a b x cdf pdf
+ .01 .75 .25 .0107 .0100 .7059
+ .01 .75 .50 .0047 .0100 1.5975
+ .01 .75 1.00 .0022 .0100 3.4812
+ .01 .75 1.50 .0014 .0100 5.4014
+ .01 .75 2.00 .0010 .0100 7.3328
+ .01 .75 2.50 .0008 .0100 9.2691
+ .01 .75 3.00 .0007 .0100 11.2077
+ .01 1.00 .25 .0394 .0100 .2577
+ .01 1.00 .50 .0199 .0100 .5051
+ .01 1.00 1.00 .0100 .0100 1.0000
+ .01 1.00 1.50 .0067 .0100 1.4950
+ .01 1.00 2.00 .0050 .0100 1.9900
+ .01 1.00 2.50 .0040 .0100 2.4850
+ .01 1.00 3.00 .0033 .0100 2.9800
+ .01 1.50 .25 .1343 .0100 .1168
+ .01 1.50 .50 .0808 .0100 .1888
+ .01 1.50 1.00 .0464 .0100 .3232
+ .01 1.50 1.50 .0328 .0100 .4538
+ .01 1.50 2.00 .0255 .0100 .5831
+ .01 1.50 2.50 .0208 .0100 .7118
+ .01 1.50 3.00 .0176 .0100 .8402
+ .10 .75 .25 .2094 .1000 .3968
+ .10 .75 .50 .0985 .1000 .7845
+ .10 .75 1.00 .0464 .1000 1.6158
+ .10 .75 1.50 .0302 .1000 2.4656
+ .10 .75 2.00 .0223 .1000 3.3210
+ .10 .75 2.50 .0177 .1000 4.1787
+ .10 .75 3.00 .0146 .1000 5.0376
+ .10 1.00 .25 .3439 .1000 .3429
+ .10 1.00 .50 .1900 .1000 .5556
+ .10 1.00 1.00 .1000 .1000 1.0000
+ .10 1.00 1.50 .0678 .1000 1.4482
+ .10 1.00 2.00 .0513 .1000 1.8974
+ .10 1.00 2.50 .0413 .1000 2.3469
+ .10 1.00 3.00 .0345 .1000 2.7965
+ .10 1.50 .25 .5280 .1000 .3650
+ .10 1.50 .50 .3514 .1000 .4685
+ .10 1.50 1.00 .2154 .1000 .6962
+ .10 1.50 1.50 .1565 .1000 .9252
+ .10 1.50 2.00 .1231 .1000 1.1537
+ .10 1.50 2.50 .1015 .1000 1.3821
+ .10 1.50 3.00 .0864 .1000 1.6102
+ .20 .75 .25 .4559 .2000 .4324
+ .20 .75 .50 .2372 .2000 .6847
+ .20 .75 1.00 .1170 .2000 1.2825
+ .20 .75 1.50 .0770 .2000 1.9025
+ .20 .75 2.00 .0573 .2000 2.5285
+ .20 .75 2.50 .0456 .2000 3.1569
+ .20 .75 3.00 .0379 .2000 3.7865
+ .20 1.00 .25 .5904 .2000 .4883
+ .20 1.00 .50 .3600 .2000 .6250
+ .20 1.00 1.00 .2000 .2000 1.0000
+ .20 1.00 1.50 .1382 .2000 1.3925
+ .20 1.00 2.00 .1056 .2000 1.7889
+ .20 1.00 2.50 .0854 .2000 2.1867
+ .20 1.00 3.00 .0717 .2000 2.5853
+ .20 1.50 .25 .7324 .2000 .6579
+ .20 1.50 .50 .5280 .2000 .6733
+ .20 1.50 1.00 .3420 .2000 .8772
+ .20 1.50 1.50 .2541 .2000 1.1086
+ .20 1.50 2.00 .2024 .2000 1.3456
+ .20 1.50 2.50 .1683 .2000 1.5847
+ .20 1.50 3.00 .1441 .2000 1.8249
+ .30 .75 .25 .6615 .3000 .5624
+ .30 .75 .50 .3852 .3000 .6756
+ .30 .75 1.00 .2008 .3000 1.1204
+ .30 .75 1.50 .1346 .3000 1.6023
+ .30 .75 2.00 .1010 .3000 2.0929
+ .30 .75 2.50 .0808 .3000 2.5868
+ .30 .75 3.00 .0673 .3000 3.0823
+ .30 1.00 .25 .7599 .3000 .7289
+ .30 1.00 .50 .5100 .3000 .7143
+ .30 1.00 1.00 .3000 .3000 1.0000
+ .30 1.00 1.50 .2116 .3000 1.3319
+ .30 1.00 2.00 .1633 .3000 1.6733
+ .30 1.00 2.50 .1330 .3000 2.0184
+ .30 1.00 3.00 .1121 .3000 2.3651
+ .30 1.50 .25 .8510 .3000 1.1004
+ .30 1.50 .50 .6576 .3000 .8823
+ .30 1.50 1.00 .4481 .3000 1.0041
+ .30 1.50 1.50 .3402 .3000 1.2064
+ .30 1.50 2.00 .2743 .3000 1.4253
+ .30 1.50 2.50 .2298 .3000 1.6503
+ .30 1.50 3.00 .1978 .3000 1.8782
+ .40 .75 .25 .8106 .4000 .8261
+ .40 .75 .50 .5300 .4000 .7134
+ .40 .75 1.00 .2947 .4000 1.0179
+ .40 .75 1.50 .2017 .4000 1.3908
+ .40 .75 2.00 .1530 .4000 1.7776
+ .40 .75 2.50 .1231 .4000 2.1695
+ .40 .75 3.00 .1029 .4000 2.5638
+ .40 1.00 .25 .8704 .4000 1.1574
+ .40 1.00 .50 .6400 .4000 .8333
+ .40 1.00 1.00 .4000 .4000 1.0000
+ .40 1.00 1.50 .2886 .4000 1.2651
+ .40 1.00 2.00 .2254 .4000 1.5492
+ .40 1.00 2.50 .1848 .4000 1.8401
+ .40 1.00 3.00 .1566 .4000 2.1341
+ .40 1.50 .25 .9219 .4000 1.8596
+ .40 1.50 .50 .7581 .4000 1.1269
+ .40 1.50 1.00 .5429 .4000 1.1052
+ .40 1.50 1.50 .4211 .4000 1.2573
+ .40 1.50 2.00 .3438 .4000 1.4428
+ .40 1.50 2.50 .2904 .4000 1.6405
+ .40 1.50 3.00 .2514 .4000 1.8440
+ .50 .75 .25 .9067 .5000 1.3662
+ .50 .75 .50 .6633 .5000 .7969
+ .50 .75 1.00 .3969 .5000 .9449
+ .50 .75 1.50 .2786 .5000 1.2197
+ .50 .75 2.00 .2139 .5000 1.5170
+ .50 .75 2.50 .1734 .5000 1.8224
+ .50 .75 3.00 .1458 .5000 2.1314
+ .50 1.00 .25 .9375 .5000 2.0000
+ .50 1.00 .50 .7500 .5000 1.0000
+ .50 1.00 1.00 .5000 .5000 1.0000
+ .50 1.00 1.50 .3700 .5000 1.1906
+ .50 1.00 2.00 .2929 .5000 1.4142
+ .50 1.00 2.50 .2421 .5000 1.6494
+ .50 1.00 3.00 .2063 .5000 1.8899
+ .50 1.50 .25 .9630 .5000 3.3258
+ .50 1.50 .50 .8368 .5000 1.4416
+ .50 1.50 1.00 .6300 .5000 1.1906
+ .50 1.50 1.50 .5000 .5000 1.2732
+ .50 1.50 2.00 .4136 .5000 1.4142
+ .50 1.50 2.50 .3525 .5000 1.5755
+ .50 1.50 3.00 .3069 .5000 1.7464
+ .60 .75 .25 .9613 .6000 2.6072
+ .60 .75 .50 .7793 .6000 .9454
+ .60 .75 1.00 .5061 .6000 .8892
+ .60 .75 1.50 .3662 .6000 1.0676
+ .60 .75 2.00 .2856 .6000 1.2826
+ .60 .75 2.50 .2337 .6000 1.5099
+ .60 .75 3.00 .1976 .6000 1.7426
+ .60 1.00 .25 .9744 .6000 3.9063
+ .60 1.00 .50 .8400 .6000 1.2500
+ .60 1.00 1.00 .6000 .6000 1.0000
+ .60 1.00 1.50 .4571 .6000 1.1052
+ .60 1.00 2.00 .3675 .6000 1.2649
+ .60 1.00 2.50 .3069 .6000 1.4427
+ .60 1.00 3.00 .2632 .6000 1.6287
+ .60 1.50 .25 .9850 .6000 6.6134
+ .60 1.50 .50 .8978 .6000 1.8869
+ .60 1.50 1.00 .7114 .6000 1.2651
+ .60 1.50 1.50 .5789 .6000 1.2573
+ .60 1.50 2.00 .4860 .6000 1.3438
+ .60 1.50 2.50 .4182 .6000 1.4617
+ .60 1.50 3.00 .3667 .6000 1.5938
+ .70 .75 .25 .9877 .7000 6.1137
+ .70 .75 .50 .8736 .7000 1.2142
+ .70 .75 1.00 .6215 .7000 .8447
+ .70 .75 1.50 .4670 .7000 .9214
+ .70 .75 2.00 .3714 .7000 1.0570
+ .70 .75 2.50 .3075 .7000 1.2110
+ .70 .75 3.00 .2622 .7000 1.3731
+ .70 1.00 .25 .9919 .7000 9.2593
+ .70 1.00 .50 .9100 .7000 1.6667
+ .70 1.00 1.00 .7000 .7000 1.0000
+ .70 1.00 1.50 .5519 .7000 1.0041
+ .70 1.00 2.00 .4523 .7000 1.0954
+ .70 1.00 2.50 .3822 .7000 1.2140
+ .70 1.00 3.00 .3306 .7000 1.3444
+ .70 1.50 .25 .9953 .7000 15.8068
+ .70 1.50 .50 .9434 .7000 2.5994
+ .70 1.50 1.00 .7884 .7000 1.3319
+ .70 1.50 1.50 .6598 .7000 1.2064
+ .70 1.50 2.00 .5635 .7000 1.2287
+ .70 1.50 2.50 .4905 .7000 1.2972
+ .70 1.50 3.00 .4337 .7000 1.3859
+ .80 .75 .25 .9976 .8000 20.5520
+ .80 .75 .50 .9431 .8000 1.7757
+ .80 .75 1.00 .7427 .8000 .8079
+ .80 .75 1.50 .5855 .8000 .7679
+ .80 .75 2.00 .4781 .8000 .8238
+ .80 .75 2.50 .4025 .8000 .9075
+ .80 .75 3.00 .3469 .8000 1.0028
+ .80 1.00 .25 .9984 .8000 31.2500
+ .80 1.00 .50 .9600 .8000 2.5000
+ .80 1.00 1.00 .8000 .8000 1.0000
+ .80 1.00 1.50 .6580 .8000 .8772
+ .80 1.00 2.00 .5528 .8000 .8944
+ .80 1.00 2.50 .4747 .8000 .9518
+ .80 1.00 3.00 .4152 .8000 1.0260
+ .80 1.50 .25 .9991 .8000 53.5108
+ .80 1.50 .50 .9751 .8000 3.9855
+ .80 1.50 1.00 .8618 .8000 1.3925
+ .80 1.50 1.50 .7459 .8000 1.1086
+ .80 1.50 2.00 .6508 .8000 1.0564
+ .80 1.50 2.50 .5748 .8000 1.0706
+ .80 1.50 3.00 .5137 .8000 1.1124
+ .90 .75 .25 .9998 .9000 164.2657
+ .90 .75 .50 .9857 .9000 3.4998
+ .90 .75 1.00 .8689 .9000 .7768
+ .90 .75 1.50 .7336 .9000 .5818
+ .90 .75 2.00 .6239 .9000 .5555
+ .90 .75 2.50 .5392 .9000 .5712
+ .90 .75 3.00 .4734 .9000 .6033
+ .90 1.00 .25 .9999 .9000 250.0000
+ .90 1.00 .50 .9900 .9000 5.0000
+ .90 1.00 1.00 .9000 .9000 1.0000
+ .90 1.00 1.50 .7846 .9000 .6962
+ .90 1.00 2.00 .6838 .9000 .6325
+ .90 1.00 2.50 .6019 .9000 .6280
+ .90 1.00 3.00 .5358 .9000 .6463
+ .90 1.50 .25 .9999 .9000 428.3866
+ .90 1.50 .50 .9938 .9000 8.0723
+ .90 1.50 1.00 .9322 .9000 1.4482
+ .90 1.50 1.50 .8435 .9000 .9252
+ .90 1.50 2.00 .7586 .9000 .7883
+ .90 1.50 2.50 .6847 .9000 .7461
+ .90 1.50 3.00 .6218 .9000 .7400
+ .99 .75 .25 1.0000 .9900 164255.717
+ .99 .75 .50 .9999 .9900 34.8318
+ .99 .75 1.00 .9867 .9900 .7525
+ .99 .75 1.50 .9412 .9900 .2568
+ .99 .75 2.00 .8779 .9900 .1656
+ .99 .75 2.50 .8116 .9900 .1348
+ .99 .75 3.00 .7492 .9900 .1220
+ .99 1.00 .25 1.0000 .9900 249999.999
+ .99 1.00 .50 .9999 .9900 50.0000
+ .99 1.00 1.00 .9900 .9900 1.0000
+ .99 1.00 1.50 .9536 .9900 .3232
+ .99 1.00 2.00 .9000 .9900 .2000
+ .99 1.00 2.50 .8415 .9900 .1577
+ .99 1.00 3.00 .7846 .9900 .1392
+ .99 1.50 .25 1.0000 .9900 428406.592
+ .99 1.50 .50 .9999 .9900 81.0536
+ .99 1.50 1.00 .9933 .9900 1.4950
+ .99 1.50 1.50 .9672 .9900 .4538
+ .99 1.50 2.00 .9260 .9900 .2669
+ .99 1.50 2.50 .8786 .9900 .2020
+ .99 1.50 3.00 .8302 .9900 .1724
+])
+
+RANDIST_CHECK([cauchy], [a b], [cdf pdf], [dnl
+ P a b x cdf pdf
+ .01 -5.00 .50 -20.9103 .0100 .0006
+ .01 -5.00 .75 -28.8654 .0100 .0004
+ .01 -5.00 1.00 -36.8205 .0100 .0003
+ .01 -5.00 1.25 -44.7756 .0100 .0003
+ .01 -5.00 1.50 -52.7308 .0100 .0002
+ .01 -4.00 .50 -19.9103 .0100 .0006
+ .01 -4.00 .75 -27.8654 .0100 .0004
+ .01 -4.00 1.00 -35.8205 .0100 .0003
+ .01 -4.00 1.25 -43.7756 .0100 .0003
+ .01 -4.00 1.50 -51.7308 .0100 .0002
+ .01 -3.00 .50 -18.9103 .0100 .0006
+ .01 -3.00 .75 -26.8654 .0100 .0004
+ .01 -3.00 1.00 -34.8205 .0100 .0003
+ .01 -3.00 1.25 -42.7756 .0100 .0003
+ .01 -3.00 1.50 -50.7308 .0100 .0002
+ .01 -2.00 .50 -17.9103 .0100 .0006
+ .01 -2.00 .75 -25.8654 .0100 .0004
+ .01 -2.00 1.00 -33.8205 .0100 .0003
+ .01 -2.00 1.25 -41.7756 .0100 .0003
+ .01 -2.00 1.50 -49.7308 .0100 .0002
+ .01 -1.00 .50 -16.9103 .0100 .0006
+ .01 -1.00 .75 -24.8654 .0100 .0004
+ .01 -1.00 1.00 -32.8205 .0100 .0003
+ .01 -1.00 1.25 -40.7756 .0100 .0003
+ .01 -1.00 1.50 -48.7308 .0100 .0002
+ .01 .00 .50 -15.9103 .0100 .0006
+ .01 .00 .75 -23.8654 .0100 .0004
+ .01 .00 1.00 -31.8205 .0100 .0003
+ .01 .00 1.25 -39.7756 .0100 .0003
+ .01 .00 1.50 -47.7308 .0100 .0002
+ .01 1.00 .50 -14.9103 .0100 .0006
+ .01 1.00 .75 -22.8654 .0100 .0004
+ .01 1.00 1.00 -30.8205 .0100 .0003
+ .01 1.00 1.25 -38.7756 .0100 .0003
+ .01 1.00 1.50 -46.7308 .0100 .0002
+ .01 2.00 .50 -13.9103 .0100 .0006
+ .01 2.00 .75 -21.8654 .0100 .0004
+ .01 2.00 1.00 -29.8205 .0100 .0003
+ .01 2.00 1.25 -37.7756 .0100 .0003
+ .01 2.00 1.50 -45.7308 .0100 .0002
+ .01 3.00 .50 -12.9103 .0100 .0006
+ .01 3.00 .75 -20.8654 .0100 .0004
+ .01 3.00 1.00 -28.8205 .0100 .0003
+ .01 3.00 1.25 -36.7756 .0100 .0003
+ .01 3.00 1.50 -44.7308 .0100 .0002
+ .01 4.00 .50 -11.9103 .0100 .0006
+ .01 4.00 .75 -19.8654 .0100 .0004
+ .01 4.00 1.00 -27.8205 .0100 .0003
+ .01 4.00 1.25 -35.7756 .0100 .0003
+ .01 4.00 1.50 -43.7308 .0100 .0002
+ .01 5.00 .50 -10.9103 .0100 .0006
+ .01 5.00 .75 -18.8654 .0100 .0004
+ .01 5.00 1.00 -26.8205 .0100 .0003
+ .01 5.00 1.25 -34.7756 .0100 .0003
+ .01 5.00 1.50 -42.7308 .0100 .0002
+ .10 -5.00 .50 -6.5388 .1000 .0608
+ .10 -5.00 .75 -7.3083 .1000 .0405
+ .10 -5.00 1.00 -8.0777 .1000 .0304
+ .10 -5.00 1.25 -8.8471 .1000 .0243
+ .10 -5.00 1.50 -9.6165 .1000 .0203
+ .10 -4.00 .50 -5.5388 .1000 .0608
+ .10 -4.00 .75 -6.3083 .1000 .0405
+ .10 -4.00 1.00 -7.0777 .1000 .0304
+ .10 -4.00 1.25 -7.8471 .1000 .0243
+ .10 -4.00 1.50 -8.6165 .1000 .0203
+ .10 -3.00 .50 -4.5388 .1000 .0608
+ .10 -3.00 .75 -5.3083 .1000 .0405
+ .10 -3.00 1.00 -6.0777 .1000 .0304
+ .10 -3.00 1.25 -6.8471 .1000 .0243
+ .10 -3.00 1.50 -7.6165 .1000 .0203
+ .10 -2.00 .50 -3.5388 .1000 .0608
+ .10 -2.00 .75 -4.3083 .1000 .0405
+ .10 -2.00 1.00 -5.0777 .1000 .0304
+ .10 -2.00 1.25 -5.8471 .1000 .0243
+ .10 -2.00 1.50 -6.6165 .1000 .0203
+ .10 -1.00 .50 -2.5388 .1000 .0608
+ .10 -1.00 .75 -3.3083 .1000 .0405
+ .10 -1.00 1.00 -4.0777 .1000 .0304
+ .10 -1.00 1.25 -4.8471 .1000 .0243
+ .10 -1.00 1.50 -5.6165 .1000 .0203
+ .10 .00 .50 -1.5388 .1000 .0608
+ .10 .00 .75 -2.3083 .1000 .0405
+ .10 .00 1.00 -3.0777 .1000 .0304
+ .10 .00 1.25 -3.8471 .1000 .0243
+ .10 .00 1.50 -4.6165 .1000 .0203
+ .10 1.00 .50 -.5388 .1000 .0608
+ .10 1.00 .75 -1.3083 .1000 .0405
+ .10 1.00 1.00 -2.0777 .1000 .0304
+ .10 1.00 1.25 -2.8471 .1000 .0243
+ .10 1.00 1.50 -3.6165 .1000 .0203
+ .10 2.00 .50 .4612 .1000 .0608
+ .10 2.00 .75 -.3083 .1000 .0405
+ .10 2.00 1.00 -1.0777 .1000 .0304
+ .10 2.00 1.25 -1.8471 .1000 .0243
+ .10 2.00 1.50 -2.6165 .1000 .0203
+ .10 3.00 .50 1.4612 .1000 .0608
+ .10 3.00 .75 .6917 .1000 .0405
+ .10 3.00 1.00 -.0777 .1000 .0304
+ .10 3.00 1.25 -.8471 .1000 .0243
+ .10 3.00 1.50 -1.6165 .1000 .0203
+ .10 4.00 .50 2.4612 .1000 .0608
+ .10 4.00 .75 1.6917 .1000 .0405
+ .10 4.00 1.00 .9223 .1000 .0304
+ .10 4.00 1.25 .1529 .1000 .0243
+ .10 4.00 1.50 -.6165 .1000 .0203
+ .10 5.00 .50 3.4612 .1000 .0608
+ .10 5.00 .75 2.6917 .1000 .0405
+ .10 5.00 1.00 1.9223 .1000 .0304
+ .10 5.00 1.25 1.1529 .1000 .0243
+ .10 5.00 1.50 .3835 .1000 .0203
+ .20 -5.00 .50 -5.6882 .2000 .2199
+ .20 -5.00 .75 -6.0323 .2000 .1466
+ .20 -5.00 1.00 -6.3764 .2000 .1100
+ .20 -5.00 1.25 -6.7205 .2000 .0880
+ .20 -5.00 1.50 -7.0646 .2000 .0733
+ .20 -4.00 .50 -4.6882 .2000 .2199
+ .20 -4.00 .75 -5.0323 .2000 .1466
+ .20 -4.00 1.00 -5.3764 .2000 .1100
+ .20 -4.00 1.25 -5.7205 .2000 .0880
+ .20 -4.00 1.50 -6.0646 .2000 .0733
+ .20 -3.00 .50 -3.6882 .2000 .2199
+ .20 -3.00 .75 -4.0323 .2000 .1466
+ .20 -3.00 1.00 -4.3764 .2000 .1100
+ .20 -3.00 1.25 -4.7205 .2000 .0880
+ .20 -3.00 1.50 -5.0646 .2000 .0733
+ .20 -2.00 .50 -2.6882 .2000 .2199
+ .20 -2.00 .75 -3.0323 .2000 .1466
+ .20 -2.00 1.00 -3.3764 .2000 .1100
+ .20 -2.00 1.25 -3.7205 .2000 .0880
+ .20 -2.00 1.50 -4.0646 .2000 .0733
+ .20 -1.00 .50 -1.6882 .2000 .2199
+ .20 -1.00 .75 -2.0323 .2000 .1466
+ .20 -1.00 1.00 -2.3764 .2000 .1100
+ .20 -1.00 1.25 -2.7205 .2000 .0880
+ .20 -1.00 1.50 -3.0646 .2000 .0733
+ .20 .00 .50 -.6882 .2000 .2199
+ .20 .00 .75 -1.0323 .2000 .1466
+ .20 .00 1.00 -1.3764 .2000 .1100
+ .20 .00 1.25 -1.7205 .2000 .0880
+ .20 .00 1.50 -2.0646 .2000 .0733
+ .20 1.00 .50 .3118 .2000 .2199
+ .20 1.00 .75 -.0323 .2000 .1466
+ .20 1.00 1.00 -.3764 .2000 .1100
+ .20 1.00 1.25 -.7205 .2000 .0880
+ .20 1.00 1.50 -1.0646 .2000 .0733
+ .20 2.00 .50 1.3118 .2000 .2199
+ .20 2.00 .75 .9677 .2000 .1466
+ .20 2.00 1.00 .6236 .2000 .1100
+ .20 2.00 1.25 .2795 .2000 .0880
+ .20 2.00 1.50 -.0646 .2000 .0733
+ .20 3.00 .50 2.3118 .2000 .2199
+ .20 3.00 .75 1.9677 .2000 .1466
+ .20 3.00 1.00 1.6236 .2000 .1100
+ .20 3.00 1.25 1.2795 .2000 .0880
+ .20 3.00 1.50 .9354 .2000 .0733
+ .20 4.00 .50 3.3118 .2000 .2199
+ .20 4.00 .75 2.9677 .2000 .1466
+ .20 4.00 1.00 2.6236 .2000 .1100
+ .20 4.00 1.25 2.2795 .2000 .0880
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+RANDIST_CHECK([weibull], [a b], [cdf pdf], [dnl
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projects / pspp-builds.git / commitdiff