From 5b41ad1e17b0673c172fc58c752328a3acc57525 Mon Sep 17 00:00:00 2001 From: John Darrington Date: Thu, 6 Jun 2019 17:27:27 +0200 Subject: [PATCH] Revert "Remove bad tests" This reverts commit b9a1a1c32d5589e208ea751911d35177b7751720. I inadvertently pushed this! --- tests/language/stats/means.at | 554 ++++++++++++++++++++++++++++++++++ 1 file changed, 554 insertions(+) diff --git a/tests/language/stats/means.at b/tests/language/stats/means.at index 549891a6d3..93ef68ac70 100644 --- a/tests/language/stats/means.at +++ b/tests/language/stats/means.at @@ -16,6 +16,560 @@ dnl along with this program. If not, see . dnl AT_BANNER([MEANS procedure]) +AT_SETUP([MEANS simple example]) +AT_KEYWORDS([categorical categoricals]) + +AT_DATA([means-simple.sps], [dnl +SET FORMAT=F12.5. + +data list notable list /score * factor *. +BEGIN DATA. +22 01 +22 01 +29 01 +16 01 +24 02 +21 02 +22 01 +24 01 +19 01 +17 01 +22 01 +17 02 +23 02 +25 02 +20 01 +15 01 +18 01 +26 01 +23 02 +35 02 +20 01 +16 01 +19 01 +14 01 +14 01 +21 01 +END DATA. + +MEANS TABLES = score BY factor. +]) + +AT_CHECK([pspp -O format=csv means-simple.sps], [0], + [dnl +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +score: factor,26,100.0%,0,.0%,26,100.0% +score: ,26,100.0%,0,.0%,26,100.0% + +Table: Report +,factor,Mean,N,Std. Deviation +score,1.00000,19.78947,19.00000,4.03566 +,2.00000,24.00000,7.00000,5.50757 + +Table: Report +,Mean,N,Std. Deviation +score,20.92308,26.00000,4.75750 +]) + +AT_CLEANUP + + + +AT_SETUP([MEANS very simple example]) +AT_KEYWORDS([categorical categoricals]) + +AT_DATA([means-vsimple.sps], [dnl +SET FORMAT=F12.5. + +data list notable list /score. +begin data. +1 +1 +2 +2 +end data. + +means tables = score. +]) + +AT_CHECK([pspp -O format=csv means-vsimple.sps], [0], + [dnl +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +score: ,4,100.0%,0,.0%,4,100.0% + +Table: Report +,Mean,N,Std. Deviation +score,1.50000,4.00000,.57735 +]) + +AT_CLEANUP + + + + +AT_SETUP([MEANS default missing]) +AT_KEYWORDS([categorical categoricals]) + +AT_DATA([means-dmiss.sps], [dnl +SET FORMAT=F12.2. +data list notable list /a * g1 * g2 *. +begin data. +3 1 . +4 1 11 +3 1 21 +6 2 21 +2 2 31 +. 2 31 +8 2 31 +7 2 31 +end data. + +MEANS TABLES = + a BY g1 g2 + BY g2 + /cells = MEAN COUNT + . +]) + +AT_CHECK([pspp -O format=csv means-dmiss.sps], [0], + [dnl +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +a: g1 × g2,6,75.0%,2,25.0%,8,100.0% +a: g2,6,75.0%,2,25.0%,8,100.0% +a: ,7,87.5%,1,12.5%,8,100.0% + +Table: Report +,g1,g2,Mean,N +a,1.00,11.00,4.00,1.00 +,,21.00,3.00,1.00 +,2.00,,6.00,1.00 +,,31.00,5.67,3.00 + +Table: Report +,g2,Mean,N +a,11.00,4.00,1.00 +,21.00,4.50,2.00 +,31.00,5.67,3.00 + +Table: Report +,Mean,N +a,5.00,6.00 +]) + +AT_CLEANUP + + +AT_SETUP([MEANS linear stats]) +AT_KEYWORDS([categorical categoricals]) + +dnl Slightly more involved example to test the linear statistics +AT_DATA([means-linear.sps], [dnl +set format F12.4. +data list notable list /id * group * test1 * +begin data. +1 1 85 +2 1 90 +3 1 82 +4 1 75 +5 1 99 +6 2 70 +7 2 66 +8 2 52 +9 2 71 +10 2 50 +end data. + +add value labels /group 1 "experimental group" 2 "control group". + +means test1 by group + /cells = mean count stddev sum min max range variance kurt skew + . +]) + + +AT_CHECK([pspp -O format=csv means-linear.sps], [0], + [dnl +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +test1: group,10,100.0%,0,.0%,10,100.0% +test1: ,10,100.0%,0,.0%,10,100.0% + +Table: Report +,group,Mean,N,Std. Deviation,Sum,Min,Max,Range,Variance,Kurtosis,Skewness +test1,experimental group,86.2000,5.0000,8.9833,431.0000,75.0000,99.0000,24.0000,80.7000,.2727,.3858 +,control group,61.8000,5.0000,10.0598,309.0000,50.0000,71.0000,21.0000,101.2000,-3.0437,-.4830 + +Table: Report +,Mean,N,Std. Deviation,Sum,Min,Max,Range,Variance,Kurtosis,Skewness +test1,74.0000,10.0000,15.6915,740.0000,50.0000,99.0000,49.0000,246.2222,-.5759,-.1262 +]) + +AT_CLEANUP + + +AT_SETUP([MEANS standard errors]) +AT_KEYWORDS([categorical categoricals]) + +AT_DATA([means-stderr.sps], [dnl +set format F12.4. +data list notable list /id * group * test1 * +begin data. +1 1 85 +2 1 90 +3 1 82 +4 1 75 +5 1 99 +6 1 70 +7 2 66 +8 2 52 +9 2 71 +10 2 50 +end data. + +means test1 by group + /cells = mean count semean seskew sekurt. +]) + + +AT_CHECK([pspp -O format=csv means-stderr.sps], [0], + [dnl +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +test1: group,10,100.0%,0,.0%,10,100.0% +test1: ,10,100.0%,0,.0%,10,100.0% + +Table: Report +,group,Mean,N,S.E. Mean,S.E. Skew,S.E. Kurt +test1,1.0000,83.5000,6.0000,4.2485,.8452,1.7408 +,2.0000,59.7500,4.0000,5.1700,1.0142,2.6186 + +Table: Report +,Mean,N,S.E. Mean,S.E. Skew,S.E. Kurt +test1,74.0000,10.0000,4.9621,.6870,1.3342 +]) + +AT_CLEANUP + + + +AT_SETUP([MEANS harmonic and geometric means]) +AT_KEYWORDS([categorical categoricals]) + +AT_DATA([means-hg.sps], [dnl +set format F12.4. +data list notable list /x * y *. +begin data. +1 3 +2 3 +3 3 +4 3 +5 3 +end data. + + +means x y + /cells = mean harmonic geometric +. +]) + + +AT_CHECK([pspp -O format=csv means-hg.sps], [0], + [dnl +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +x: ,5,100.0%,0,.0%,5,100.0% +y: ,5,100.0%,0,.0%,5,100.0% + +Table: Report +,Mean,Harmonic Mean,Geom. Mean +x,3.0000,2.1898,2.6052 +y,3.0000,3.0000,3.0000 +]) + +AT_CLEANUP + + + + + + +AT_SETUP([MEANS all/none/default]) +AT_KEYWORDS([categorical categoricals]) + +dnl Make sure that /CELLS = {ALL,NONE,DEFAULT} work properly +AT_DATA([means-stat-keywords.sps], [dnl +SET FORMAT=F12.2. +SET DECIMAL=DOT. + +DATA LIST NOTABLE LIST /score *. +BEGIN DATA. +22 +22 +29 +16 +23 +END DATA. + +MEANS score /CELLS = ALL. +MEANS score /CELLS = DEFAULT. +MEANS score /CELLS = NONE. +]) + + +AT_CHECK([pspp -O format=csv means-stat-keywords.sps], [0], + [dnl +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +score: ,5,100.0%,0,.0%,5,100.0% + +Table: Report +,Mean,N,Std. Deviation,S.E. Mean,Sum,Min,Max,Range,Variance,Kurtosis,S.E. Kurt,Skewness,S.E. Skew,First,Last,Harmonic Mean,Geom. Mean +score,22.40,5.00,4.62,2.06,112.00,16.00,29.00,13.00,21.30,1.85,2.00,.11,.91,22.00,23.00,21.61,22.01 + +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +score: ,5,100.0%,0,.0%,5,100.0% + +Table: Report +,Mean,N,Std. Deviation +score,22.40,5.00,4.62 + +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +score: ,5,100.0%,0,.0%,5,100.0% + +Table: Report +]) + +AT_CLEANUP + + + + +AT_SETUP([MEANS missing=table ]) +AT_KEYWORDS([categorical categoricals]) + +AT_DATA([means-miss-table.sps], [dnl +data list notable list /a * b * g1. +begin data. +1 9 1 +2 9 1 +3 9 1 +4 9 2 +5 9 2 +6 9 2 +7 . 2 +end data. + +MEANS a b BY g1 + /a BY g1 + /cells = COUNT + /missing = TABLE + . + +MEANS a b BY g1 + /a BY g1 + /cells = COUNT + . +]) + + +AT_CHECK([pspp -o pspp.csv -o pspp.txt means-miss-table.sps]) +AT_CHECK([cat pspp.csv], [0], [dnl +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +a: g1,7,100.0%,0,.0%,7,100.0% +a: ,7,100.0%,0,.0%,7,100.0% +b: g1,6,85.7%,1,14.3%,7,100.0% +b: ,6,85.7%,1,14.3%,7,100.0% + +Table: Report +,g1,N +a,1.00,3.00 +,2.00,3.00 +b,1.00,3.00 +,2.00,3.00 + +Table: Report +,N +a,6.00 +b,6.00 + +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +a: g1,7,100.0%,0,.0%,7,100.0% +a: ,7,100.0%,0,.0%,7,100.0% + +Table: Report +,g1,N +a,1.00,3.00 +,2.00,4.00 + +Table: Report +,N +a,7.00 + +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +a: g1,7,100.0%,0,.0%,7,100.0% +a: ,7,100.0%,0,.0%,7,100.0% +b: g1,6,85.7%,1,14.3%,7,100.0% +b: ,6,85.7%,1,14.3%,7,100.0% + +Table: Report +,g1,N +a,1.00,3.00 +,2.00,4.00 +b,1.00,3.00 +,2.00,3.00 + +Table: Report +,N +a,7.00 +b,6.00 + +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +a: g1,7,100.0%,0,.0%,7,100.0% +a: ,7,100.0%,0,.0%,7,100.0% + +Table: Report +,g1,N +a,1.00,3.00 +,2.00,4.00 + +Table: Report +,N +a,7.00 +]) +AT_CLEANUP + +AT_SETUP([MEANS user missing values]) +AT_KEYWORDS([categorical categoricals]) + +AT_DATA([means-missing.sps], [dnl +data list notable list /a * b * g1. +begin data. +1 2 9 +2 2 1 +3 2 1 +4 2 2 +5 2 2 +6 2 2 +7 9 2 +end data. + +MISSING VALUES a b g1 (9). + +MEANS a b BY g1 /cells = COUNT . + +MEANS a b BY g1 /cells = COUNT /missing = include . + +MEANS a b BY g1 /cells = COUNT /missing = dependent . +]) + + +AT_CHECK([pspp -o pspp.csv -o pspp.txt means-missing.sps]) +AT_CHECK([cat pspp.csv], [0], [dnl +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +a: g1,6,85.7%,1,14.3%,7,100.0% +a: ,7,100.0%,0,.0%,7,100.0% +b: g1,5,71.4%,2,28.6%,7,100.0% +b: ,6,85.7%,1,14.3%,7,100.0% + +Table: Report +,g1,N +a,1.00,2.00 +,2.00,4.00 +b,1.00,2.00 +,2.00,3.00 + +Table: Report +,N +a,6.00 +b,5.00 + +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +a: g1,7,100.0%,0,.0%,7,100.0% +a: ,7,100.0%,0,.0%,7,100.0% +b: g1,7,100.0%,0,.0%,7,100.0% +b: ,7,100.0%,0,.0%,7,100.0% + +Table: Report +,g1,N +a,1.00,2.00 +,2.00,4.00 +,9.00,1.00 +b,1.00,2.00 +,2.00,4.00 +,9.00,1.00 + +Table: Report +,N +a,7.00 +b,7.00 + +Table: Case Processing Summary +,Cases,,,,, +,Included,,Excluded,,Total, +,N,Percent,N,Percent,N,Percent +a: g1,7,100.0%,0,.0%,7,100.0% +a: ,7,100.0%,0,.0%,7,100.0% +b: g1,6,85.7%,1,14.3%,7,100.0% +b: ,6,85.7%,1,14.3%,7,100.0% + +Table: Report +,g1,N +a,1.00,2.00 +,2.00,4.00 +,9.00,1.00 +b,1.00,2.00 +,2.00,3.00 +,9.00,1.00 + +Table: Report +,N +a,7.00 +b,6.00 +]) +AT_CLEANUP + + AT_SETUP([MEANS empty factor spec]) AT_KEYWORDS([categorical categoricals]) -- 2.30.2