X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=tests%2Flanguage%2Fstats%2Fnpar.at;h=93624925aee4764addf974ab76023156721b00e3;hb=8e6f8bf3152f9ed166769b32f542b98991db4a4f;hp=3f620147626acf17d2bfb1f4ba06c99dcf9fdef8;hpb=dd415397beff015f3e9dabde00c95db263c99768;p=pspp diff --git a/tests/language/stats/npar.at b/tests/language/stats/npar.at index 3f62014762..93624925ae 100644 --- a/tests/language/stats/npar.at +++ b/tests/language/stats/npar.at @@ -1,6 +1,22 @@ +dnl PSPP - a program for statistical analysis. +dnl Copyright (C) 2017, 2022 Free Software Foundation, Inc. +dnl +dnl This program is free software: you can redistribute it and/or modify +dnl it under the terms of the GNU General Public License as published by +dnl the Free Software Foundation, either version 3 of the License, or +dnl (at your option) any later version. +dnl +dnl This program is distributed in the hope that it will be useful, +dnl but WITHOUT ANY WARRANTY; without even the implied warranty of +dnl MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +dnl GNU General Public License for more details. +dnl +dnl You should have received a copy of the GNU General Public License +dnl along with this program. If not, see . +dnl AT_BANNER([NPAR TESTS]) -AT_SETUP([NPAR TESTS BINOMIAL, P < 0.5; N1/N2 < 1]) +AT_SETUP([NPAR TESTS BINOMIAL P < 0.5; N1/N2 < 1]) AT_DATA([npar.sps], [dnl SET FORMAT F8.3. @@ -19,13 +35,13 @@ NPAR TESTS AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl Table: Binomial Test ,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (1-tailed) -x,Group1,1.000,6.000,.286,.300,.551 -,Group2,2.000,15.000,.714,, +x,Group 1,1.000,6.000,.286,.300,.551 +,Group 2,2.000,15.000,.714,, ,Total,,21.000,1.000,, ]) AT_CLEANUP -AT_SETUP([NPAR TESTS BINOMIAL, P < 0.5; N1/N2 > 1]) +AT_SETUP([NPAR TESTS BINOMIAL P < 0.5; N1/N2 > 1]) AT_DATA([npar.sps], [dnl SET FORMAT F8.3. @@ -44,13 +60,13 @@ NPAR TESTS AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl Table: Binomial Test ,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (1-tailed) -x,Group1,1,7,.538,.400,.229 -,Group2,2,6,.462,, +x,Group 1,1,7,.538,.400,.229 +,Group 2,2,6,.462,, ,Total,,13,1.000,, ]) AT_CLEANUP -AT_SETUP([NPAR TESTS BINOMIAL, P < 0.5; N1/N2 = 1]) +AT_SETUP([NPAR TESTS BINOMIAL P < 0.5; N1/N2 = 1]) AT_DATA([npar.sps], [dnl SET FORMAT F8.3. @@ -69,13 +85,13 @@ NPAR TESTS AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl Table: Binomial Test ,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (1-tailed) -x,Group1,1,8,.500,.400,.284 -,Group2,2,8,.500,, +x,Group 1,1,8,.500,.400,.284 +,Group 2,2,8,.500,, ,Total,,16,1.000,, ]) AT_CLEANUP -AT_SETUP([NPAR TESTS BINOMIAL, P > 0.5; N1/N2 < 1]) +AT_SETUP([NPAR TESTS BINOMIAL P > 0.5; N1/N2 < 1]) AT_DATA([npar.sps], [dnl SET FORMAT F8.3. @@ -94,13 +110,13 @@ NPAR TESTS AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl Table: Binomial Test ,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (1-tailed) -x,Group1,1,11,.478,.600,.164 -,Group2,2,12,.522,, +x,Group 1,1,11,.478,.600,.164 +,Group 2,2,12,.522,, ,Total,,23,1.000,, ]) AT_CLEANUP -AT_SETUP([NPAR TESTS BINOMIAL, P > 0.5; N1/N2 > 1]) +AT_SETUP([NPAR TESTS BINOMIAL P > 0.5; N1/N2 > 1]) AT_DATA([npar.sps], [dnl SET FORMAT F8.3. @@ -118,13 +134,13 @@ NPAR TESTS AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl Table: Binomial Test ,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (1-tailed) -x,Group1,1,11,.550,.600,.404 -,Group2,2,9,.450,, +x,Group 1,1,11,.550,.600,.404 +,Group 2,2,9,.450,, ,Total,,20,1.000,, ]) AT_CLEANUP -AT_SETUP([NPAR TESTS BINOMIAL, P > 0.5; N1/N2 = 1]) +AT_SETUP([NPAR TESTS BINOMIAL P > 0.5; N1/N2 = 1]) AT_DATA([npar.sps], [dnl SET FORMAT F8.3. @@ -142,13 +158,13 @@ NPAR TESTS AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl Table: Binomial Test ,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (1-tailed) -x,Group1,1,11,.500,.600,.228 -,Group2,2,11,.500,, +x,Group 1,1,11,.500,.600,.228 +,Group 2,2,11,.500,, ,Total,,22,1.000,, ]) AT_CLEANUP -AT_SETUP([NPAR TESTS BINOMIAL, P = 0.5; N1/N2 < 1]) +AT_SETUP([NPAR TESTS BINOMIAL P = 0.5; N1/N2 < 1]) AT_DATA([npar.sps], [dnl SET FORMAT F8.3. @@ -167,13 +183,13 @@ NPAR TESTS AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl Table: Binomial Test ,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (2-tailed) -x,Group1,1,8,.348,.500,.210 -,Group2,2,15,.652,, +x,Group 1,1,8,.348,.500,.210 +,Group 2,2,15,.652,, ,Total,,23,1.000,, ]) AT_CLEANUP -AT_SETUP([NPAR TESTS BINOMIAL, P = 0.5; N1/N2 > 1]) +AT_SETUP([NPAR TESTS BINOMIAL P = 0.5; N1/N2 > 1]) AT_DATA([npar.sps], [dnl SET FORMAT F8.3. @@ -191,13 +207,13 @@ NPAR TESTS AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl Table: Binomial Test ,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (2-tailed) -x,Group1,1,12,.667,.500,.238 -,Group2,2,6,.333,, +x,Group 1,1,12,.667,.500,.238 +,Group 2,2,6,.333,, ,Total,,18,1.000,, ]) AT_CLEANUP -AT_SETUP([NPAR TESTS BINOMIAL, P = 0.5; N1/N2 = 1]) +AT_SETUP([NPAR TESTS BINOMIAL P = 0.5; N1/N2 = 1]) AT_DATA([npar.sps], [dnl SET FORMAT F8.3. @@ -216,13 +232,13 @@ NPAR TESTS AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl Table: Binomial Test ,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (2-tailed) -x,Group1,1,10,.500,.500,1.000 -,Group2,2,10,.500,, +x,Group 1,1,10,.500,.500,1.000 +,Group 2,2,10,.500,, ,Total,,20,1.000,, ]) AT_CLEANUP -AT_SETUP([NPAR TESTS BINOMIAL, P = 0.5; N1/N2 = 1 Cutpoint]) +AT_SETUP([NPAR TESTS BINOMIAL P = 0.5; N1/N2 = 1 Cutpoint]) AT_DATA([npar.sps], [dnl SET FORMAT F8.3. @@ -242,13 +258,13 @@ NPAR TESTS AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl Table: Binomial Test ,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (2-tailed) -x,Group1,<= 10,10.000,.385,.500,.327 -,Group2,,16.000,.615,, +x,Group 1,<= 10,10.000,.385,.500,.327 +,Group 2,,16.000,.615,, ,Total,,26.000,1.000,, ]) AT_CLEANUP -AT_SETUP([NPAR TESTS BINOMIAL, P = 0.5; N1/N2 = 1 Named values]) +AT_SETUP([NPAR TESTS BINOMIAL P = 0.5; N1/N2 = 1 Named values]) AT_DATA([npar.sps], [dnl SET FORMAT F8.3. @@ -268,8 +284,8 @@ NPAR TESTS AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl Table: Binomial Test ,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (2-tailed) -x,Group1,10.000,10.000,.435,.500,.678 -,Group2,20.000,13.000,.565,, +x,Group 1,10.000,10.000,.435,.500,.678 +,Group 2,20.000,13.000,.565,, ,Total,,23.000,1.000,, ]) AT_CLEANUP @@ -328,7 +344,7 @@ NPAR TESTS AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl Table: x -,Observed N,Expected N,Residual +Value,Observed N,Expected N,Residual 1.00,3.00,2.33,.67 2.00,3.00,2.33,.67 3.10,4.00,2.33,1.67 @@ -338,7 +354,7 @@ Table: x Total,14.00,, Table: y -,Observed N,Expected N,Residual +Value,Observed N,Expected N,Residual 1.00,7.00,3.50,3.50 2.00,4.00,3.50,.50 3.00,1.00,3.50,-2.50 @@ -346,13 +362,12 @@ Table: y Total,14.00,, Table: Test Statistics -,x,y -Chi-Square,3.14,6.00 -df,5,3 -Asymp. Sig.,.678,.112 +,Chi-square,df,Asymp. Sig. +x,3.14,5,.678 +y,6.00,3,.112 Table: y -,Observed N,Expected N,Residual +Value,Observed N,Expected N,Residual 1.00,7.00,2.63,4.38 2.00,4.00,3.50,.50 3.00,1.00,4.38,-3.38 @@ -360,10 +375,8 @@ Table: y Total,14.00,, Table: Test Statistics -,y -Chi-Square,10.61 -df,3 -Asymp. Sig.,.014 +,Chi-square,df,Asymp. Sig. +y,10.61,3,.014 Table: Frequencies ,x,,,,y,,, @@ -374,10 +387,9 @@ Table: Frequencies Total,,10.00,,,,7.00,, Table: Test Statistics -,x,y -Chi-Square,.13,4.13 -df,2,2 -Asymp. Sig.,.936,.127 +,Chi-square,df,Asymp. Sig. +x,.13,2,.936 +y,4.13,2,.127 ]) AT_CLEANUP @@ -404,13 +416,11 @@ NPAR TESTS ]) AT_CHECK([pspp -O format=csv npar.sps], [1], [dnl -"error: CHISQUARE test specified 6 expected values, but 4 distinct values were encountered in variable y." +"error: CHISQUARE test specified 6 expected values, but variable y has 4 distinct values." Table: Test Statistics -,y -Chi-Square,.00 -df,0 -Asymp. Sig.,1.000 +,Chi-square,df,Asymp. Sig. +y,.00,0,1.000 ]) AT_CLEANUP @@ -419,7 +429,7 @@ AT_SETUP([NPAR TESTS CHISQUARE with DESCRIPTIVES]) AT_DATA([npar.sps], [dnl DATA LIST NOTABLE LIST /x * y * w * . BEGIN DATA. -1 2 1 +1 2 1 2 1 3 3.1 1 4 3.2 2 1 @@ -455,14 +465,12 @@ Table: Frequencies Total,,12.00,,,,15.00,, Table: Test Statistics -,x,y -Chi-Square,17.33,22.87 -df,7,7 -Asymp. Sig.,.015,.002 +,Chi-square,df,Asymp. Sig. +x,17.33,7,.015 +y,22.87,7,.002 Table: Descriptive Statistics ,N,Mean,Std. Deviation,Minimum,Maximum -,,,,, x,12.00,2.47,1.19,1.00,5.00 y,15.00,2.07,1.33,1.00,5.00 ]) @@ -472,7 +480,7 @@ AT_SETUP([NPAR TESTS CHISQUARE, listwise missing]) AT_DATA([npar.sps], [dnl DATA LIST NOTABLE LIST /x * y * w * . BEGIN DATA. -1 2 1 +1 2 1 2 1 3 3.1 1 4 3.2 2 1 @@ -508,14 +516,12 @@ Table: Frequencies Total,,14.00,,,,14.00,, Table: Test Statistics -,x,y -Chi-Square,13.43,26.00 -df,7,7 -Asymp. Sig.,.062,.001 +,Chi-square,df,Asymp. Sig. +x,13.43,7,.062 +y,26.00,7,.001 Table: Descriptive Statistics ,N,Mean,Std. Deviation,Minimum,Maximum -,,,,, x,14.00,2.69,1.23,1.00,5.00 y,14.00,1.86,1.10,1.00,4.00 ]) @@ -587,7 +593,7 @@ begin data. 12.00 .00 1 12.00 .00 1 34.2 . 1 -12.00 1.00 1 +12.00 1.00 1 13.00 1.00 1 end data @@ -624,7 +630,7 @@ set format = F9.3. data list notable list /age * height rank *. begin data. 10 12 11 -12 13 13 +12 13 13 13 14 12 12 12 10 9 9 10 @@ -638,7 +644,7 @@ npar tests . ]) AT_CHECK([pspp -o pspp.csv npar.sps]) -dnl Some machines return .313 instead of .312 +dnl Some machines return .313 instead of .312 dnl (see bug #31611). AT_CHECK([sed -e 's/\.313$/.312/' -e 's/^Exact Sig\. (1-tailed),\.313/Exact Sig. (1-tailed),.312/' pspp.csv], [0], [dnl Table: Frequencies @@ -680,7 +686,7 @@ begin data 1 101 2 82 2 124 -3 149 +3 149 3 166 3 147 end data. @@ -695,20 +701,20 @@ npar tests . ]) -AT_CHECK([pspp -o pspp.csv kw-simple.sps]) +AT_CHECK([pspp -o pspp.csv -o pspp.txt kw-simple.sps]) AT_CHECK([cat pspp.csv], [0], [dnl Table: Ranks -,gv,N,Mean Rank +,,N,Mean Rank xscore,timed out,5,4.400 ,hit wicket,5,7.400 ,handled the ball,4,11.500 ,Total,14, Table: Test Statistics -,,xscore -Chi-Square,,6.406 -df,,2 -Asymp. Sig.,,.041 +,xscore +Chi-Square,6.406 +df,2 +Asymp. Sig.,.041 ]) @@ -729,7 +735,7 @@ begin data 2 135 2 109 3 115 -3 149 +3 149 3 166 3 147 2.5 344 @@ -753,6 +759,44 @@ AT_CHECK([pspp -o pspp2.csv kw-missing-group.sps]) dnl The result should be the same as before AT_CHECK([diff pspp.csv pspp2.csv], [0]) +dnl Reverse the order of the group values +AT_DATA([kw-reverse-group.sps], [dnl +set format = F9.3. + +data list notable list /gv * xscore *. +begin data +1 96 +1 128 +1 83 +1 61 +1 101 +2 82 +2 124 +2 132 +2 135 +2 109 +3 115 +3 149 +3 166 +3 147 +end data. + +value label /gv + 1 "timed out" + 2 "hit wicket" + 3 "handled the ball". + +npar tests + /kruskal-wallis xscore by gv (3, 1) + /missing=exclude + . +]) + +AT_CHECK([pspp -o pspp2.csv kw-reverse-group.sps]) + +dnl The result should be the same as before +AT_CHECK([diff pspp.csv pspp2.csv], [0]) + AT_CLEANUP @@ -765,14 +809,14 @@ data list notable list /gv * xscore * yscore. begin data 1 96 . 1 128 . -1 83 . +1 83 . 2 132 132 2 135 135 2 109 109 3 115 115 -1 61 . +1 61 . 1 101 . -2 82 82 +2 82 82 2 124 124 3 149 149 3 166 166 @@ -791,7 +835,7 @@ value label /gv 4 "bowled" 5 "lbw" . - + npar tests /k-w xscore yscore by gv (1, 5) . @@ -802,7 +846,7 @@ npar tests AT_CHECK([pspp -o pspp.csv kw-multi.sps]) AT_CHECK([cat pspp.csv], [0], [dnl Table: Ranks -,gv,N,Mean Rank +,,N,Mean Rank xscore,timed out,5,4.400 ,hit wicket,5,7.400 ,handled the ball,4,11.500 @@ -813,10 +857,10 @@ yscore,hit wicket,5,7.400 ,Total,14, Table: Test Statistics -,,xscore,yscore, -Chi-Square,,6.406,6.406, -df,,2,2, -Asymp. Sig.,,.041,.041, +,xscore,yscore +Chi-Square,6.406,6.406 +df,2,2 +Asymp. Sig.,.041,.041 ]) AT_CLEANUP @@ -830,40 +874,40 @@ data list notable list /score * w *. begin data 4 6 . 4 -4 3 -3 20 -2 29 -1 42 -6 18 -5 7 -6 78 -5 10 -6 46 -5 5 -6 17 -5 1 -6 11 -4 2 -3 7 -2 6 -1 10 -4 13 -3 22 -3 11 -2 24 -1 18 -4 4 -3 12 -2 10 -1 25 -4 4 -3 7 -2 3 -1 4 -4 2 -3 3 -2 2 -1 4 +4 3 +3 20 +2 29 +1 42 +6 18 +5 7 +6 78 +5 10 +6 46 +5 5 +6 17 +5 1 +6 11 +4 2 +3 7 +2 6 +1 10 +4 13 +3 22 +3 11 +2 24 +1 18 +4 4 +3 12 +2 10 +1 25 +4 4 +3 7 +2 3 +1 4 +4 2 +3 3 +2 2 +1 4 end data. weight by w. @@ -871,7 +915,7 @@ weight by w. npar tests /runs (MEDIAN) = score /runs (MEAN) = score - /runs (MODE) = score + /runs (MODE) = score . ]) @@ -884,7 +928,7 @@ Cases ≥ Test Value,309.0000 Total Cases,486.0000 Number of Runs,12 Z,-20.9931 -Asymp. Sig. (2-tailed),2.000 +Asymp. Sig. (2-tailed),.000 Table: Runs Test ,score @@ -894,7 +938,7 @@ Cases ≥ Test Value,227.0000 Total Cases,486.0000 Number of Runs,12 Z,-21.0650 -Asymp. Sig. (2-tailed),2.000 +Asymp. Sig. (2-tailed),.000 Table: Runs Test ,score @@ -904,7 +948,7 @@ Cases ≥ Test Value,170.0000 Total Cases,486.0000 Number of Runs,11 Z,-21.0742 -Asymp. Sig. (2-tailed),2.000 +Asymp. Sig. (2-tailed),.000 ]) AT_CLEANUP @@ -979,47 +1023,52 @@ SET FORMAT = F11.4 data list notable list /height * sex (f1.0). begin data. -201 1 -84 1 -83 1 -94 1 -88 0 -99 0 -55 0 -69 0 -86 1 -79 1 -91 0 -201 0 -88 1 -85 1 -82 1 -88 0 -75 0 -99 0 -81 0 -72 1 -89 1 -92 1 -80 0 -82 0 -76 0 -65 0 -85 0 -76 1 -145 1 -24 1 +201 1 +84 1 +83 1 +94 1 +88 0 +99 0 +55 0 +69 0 +86 1 +79 1 +91 0 +201 0 +88 1 +85 1 +82 1 +88 0 +75 0 +99 0 +81 0 +72 1 +89 1 +92 1 +80 0 +82 0 +76 0 +65 0 +85 0 +76 1 +145 1 +24 1 +1 4 +-4 5 +34 5 +21 4 end data. -NPAR TESTS +NPAR TESTS /M-W = height BY sex (0,1). ]) AT_CHECK([pspp -O format=csv npar-mann-whitney.sps], [0], [dnl Table: Ranks -,N,,,Mean Rank,,Sum of Ranks, -,0,1,Total,0,1,0,1 -height,15.0000,15.0000,30.0000,14.5333,16.4667,218.0000,247.0000 +,,N,Mean Rank,Sum of Ranks +height,0,15,14.5333,218.0000 +,1,15,16.4667,247.0000 +,Total,30,, Table: Test Statistics ,Mann-Whitney U,Wilcoxon W,Z,Asymp. Sig. (2-tailed) @@ -1030,24 +1079,77 @@ height,98.0000,218.0000,-.6020,.547 AT_CLEANUP +AT_SETUP([NPAR TESTS Mann-Whitney Multiple]) +dnl Check for a bug where the ranks were inappropriately allocated, when +dnl multiple variables were tested and MISSING=ANALYSIS chosen. + +cp "$abs_srcdir/language/mann-whitney.txt" . + +AT_DATA([npar-mann-whitney.sps], [dnl +SET FORMAT = F11.3 + +DATA LIST NOTABLE FILE='mann-whitney.txt' + LIST /I002_01 I002_02 I002_03 I002_04 sum_HL *. + +VARIABLE LABELS + I002_01 'IOS: Familie' + I002_02 'IOS: Freunde' + I002_03 'IOS: Partner*in' + I002_04 'IOS: Bekannte'. + +MISSING VALUES I002_01 I002_02 I002_03 I002_04 (-9 -1). + +NPAR TESTS + /MISSING=ANALYSIS + /M-W=I002_01 I002_02 I002_03 I002_04 BY sum_HL (0 1). +]) + +AT_CHECK([pspp -O format=csv npar-mann-whitney.sps], [0], [dnl +Table: Ranks +,,N,Mean Rank,Sum of Ranks +IOS: Familie,.000,114,110.018,12542.000 +,1.000,115,119.939,13793.000 +,Total,229,, +IOS: Freunde,.000,115,108.339,12459.000 +,1.000,115,122.661,14106.000 +,Total,230,, +IOS: Partner*in,.000,97,95.351,9249.000 +,1.000,91,93.593,8517.000 +,Total,188,, +IOS: Bekannte,.000,115,111.065,12772.500 +,1.000,115,119.935,13792.500 +,Total,230,, + +Table: Test Statistics +,Mann-Whitney U,Wilcoxon W,Z,Asymp. Sig. (2-tailed) +IOS: Familie,5987.000,12542.000,-1.167,.243 +IOS: Freunde,5789.000,12459.000,-1.674,.094 +IOS: Partner*in,4331.000,8517.000,-.245,.807 +IOS: Bekannte,6102.500,12772.500,-1.046,.296 +]) + +AT_CLEANUP + + + AT_SETUP([NPAR TESTS Cochran]) AT_DATA([npar-cochran.sps], [dnl set format f11.3. data list notable list /v1 * v2 * v3 * v4 * v5 * v6 * v7 *. begin data. -2 1 1 2 1 1 2 -2 2 2 2 1 1 1 -1 1 2 2 1 1 2 -2 2 2 2 1 1 2 -2 1 2 1 1 2 1 -1 2 2 1 1 1 1 -1 2 2 2 2 2 2 -2 2 1 2 1 1 1 -1 2 1 2 1 1 2 -end data. - -npar tests +2 1 1 2 1 1 2 +2 2 2 2 1 1 1 +1 1 2 2 1 1 2 +2 2 2 2 1 1 2 +2 1 2 1 1 2 1 +1 2 2 1 1 1 1 +1 2 2 2 2 2 2 +2 2 1 2 1 1 1 +1 2 1 2 1 1 2 +end data. + +npar tests /cochran = v1 to v7 . ]) @@ -1067,6 +1169,7 @@ v6,2,7 v7,5,4 Table: Test Statistics +,Value N,9 Cochran's Q,12.735 df,6 @@ -1083,37 +1186,37 @@ SET FORMAT F14.3. data list notable list /v1 * v2 * v3 begin data. - 7 7 2 - 5 6 5 - 8 6 4 - 5 7 4 - 5 4 4 - 8 6 5 - 6 3 5 - 7 6 5 + 7 7 2 + 5 6 5 + 8 6 4 + 5 7 4 + 5 4 4 + 8 6 5 + 6 3 5 + 7 6 5 8 5 5 - . 2 2 - 5 4 5 - 3 4 4 - 5 1 2 - 5 2 1 - 7 6 5 - 6 3 4 - 6 6 6 - 5 4 5 - 4 3 4 - 9 1 1 - 6 2 1 - 3 7 8 - 6 3 4 - 4 4 4 - 5 4 3 - 6 5 2 - 4 4 8 - 4 6 4 - 6 5 5 - 7 8 6 - 5 3 5 + . 2 2 + 5 4 5 + 3 4 4 + 5 1 2 + 5 2 1 + 7 6 5 + 6 3 4 + 6 6 6 + 5 4 5 + 4 3 4 + 9 1 1 + 6 2 1 + 3 7 8 + 6 3 4 + 4 4 4 + 5 4 3 + 6 5 2 + 4 4 8 + 4 6 4 + 6 5 5 + 7 8 6 + 5 3 5 end data. npar tests @@ -1170,7 +1273,7 @@ begin data. 1 1 1 end data. -npar tests +npar tests /mcnemar = v1 WITH v2 junk. ]) @@ -1196,6 +1299,50 @@ v1 & junk,20,.453,.227,.164 AT_CLEANUP +AT_SETUP([NPAR TESTS McNemar Symetricity]) + +AT_DATA([mcnemar.sps], [dnl +data list notable list /var1 var2 w (F2.0). +begin data +0 0 9 +0 1 8 +1 0 1 +1 1 5 +end data. + +weight by w. + +NPAR TEST + /MCNEMAR var1 WITH var2 (PAIRED). + +NPAR TEST + /MCNEMAR var2 WITH var1 (PAIRED). +]) + +AT_CHECK([pspp -O format=csv mcnemar.sps], [0], [dnl +Table: var1 & var2 +var1,var2, +,0,1 +0,9,8 +1,1,5 + +Table: Test Statistics +,N,Exact Sig. (2-tailed),Exact Sig. (1-tailed),Point Probability +var1 & var2,23,.039,.020,.02 + +Table: var2 & var1 +var2,var1, +,0,1 +0,9,1 +1,8,5 + +Table: Test Statistics +,N,Exact Sig. (2-tailed),Exact Sig. (1-tailed),Point Probability +var2 & var1,23,.039,.020,.02 +]) + +AT_CLEANUP + AT_SETUP([NPAR TESTS Kolmogorov-Smirnov Uniform parameters given]) AT_DATA([ks-uniform.sps], [dnl @@ -1243,22 +1390,22 @@ begin data. 65 12.5 59 14.2 43 12.6 -57 -68 -79 -51 -62 -57 -73 -58 -58 -68 -75 -47 -70 -59 -71 -52 +57 +68 +79 +51 +62 +57 +73 +58 +58 +68 +75 +47 +70 +59 +71 +52 48 13.0 58 14.1 37 15.0 @@ -1269,19 +1416,19 @@ begin data. 86 14.0 63 12.5 80 12.8 -70 -63 -53 -53 -48 -49 -51 -47 -81 -66 -78 +70 +63 +53 +53 +48 +49 +51 +47 +81 +66 +78 65 -69 +69 70 12.1 63 12.5 64 12.4 @@ -1303,14 +1450,14 @@ begin data. 66 12.8 82 12.9 81 13.6 -46 -52 -71 -73 -58 -57 -46 -58 +46 +52 +71 +73 +58 +57 +46 +58 52 13.5 71 13.2 57 12.8 @@ -1371,42 +1518,42 @@ begin data. 65 13.0 64 12.5 66 12.0 -55 -62 -58 -48 -67 -46 -36 -61 -55 -77 -74 -60 -70 -69 -57 -49 -63 -69 -63 -76 -53 -54 -42 -64 -66 -61 -62 -73 -73 -60 -79 -40 -48 -76 -60 -76 +55 +62 +58 +48 +67 +46 +36 +61 +55 +77 +74 +60 +70 +69 +57 +49 +63 +69 +63 +76 +53 +54 +42 +64 +66 +61 +62 +73 +73 +60 +79 +40 +48 +76 +60 +76 54 69 65 @@ -1416,7 +1563,7 @@ begin data. 82 end data. -npar tests +npar tests /k-s (normal) = foo bar. ]) @@ -1672,7 +1819,7 @@ x,4,24.000,29.500,65.000,15.902,-2.232,.026 AT_CLEANUP -dnl Checks that (PAIRED) can have lists where the same +dnl Checks that (PAIRED) can have lists where the same dnl variable appears more than once. AT_SETUP([NPAR TESTS (PAIRED)]) AT_DATA([npar.sps], [dnl @@ -1738,3 +1885,50 @@ NPAR TEST AT_CHECK([pspp -O format=csv npar.sps], [1], [ignore]) AT_CLEANUP + + +AT_SETUP([NPAR TESTS - crash on invalid syntax]) + +AT_DATA([npar.sps], [dnl +data list notable list /ev * xscore *. +begin data. +2 109 +3 115 +1 61 +1 101 +3 147 +end data. + + +npar tests + /kruskal-wallis xscore by(gv (1, 3). +]) + +AT_CHECK([pspp -O format=csv npar.sps], [1], [ignore]) + +AT_CLEANUP + + + + +AT_SETUP([NPAR TESTS - crash on unterminated string]) + +AT_DATA([npar.sps], [dnl +DATA LIST NOTABLE LIST /x * y * w * . +BEGIN DATA. +3.1 1 4 +3.2 2 1 +4 2 6 +END DATA. + + +NPAR TESTS +" CHISQUARE=x y(-2,5) + /STATISTICS=DESCRIPTIVES + . +]) + +AT_CHECK([pspp -O format=csv npar.sps], [1], [ignore]) + +AT_CLEANUP +