X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=tests%2Flanguage%2Fstats%2Fcrosstabs.at;h=6c34c68a436ad7fd6367da29354be1b0ba5ed024;hb=5dbf5abcbed01f04422d4dead1c0ae0bb7efde4f;hp=ad34a60f6288ebbf60a58cdadeae698a2f28fbd8;hpb=a5d6129e0fa3ae298b5f71613509c68441b7d04b;p=pspp diff --git a/tests/language/stats/crosstabs.at b/tests/language/stats/crosstabs.at index ad34a60f62..6c34c68a43 100644 --- a/tests/language/stats/crosstabs.at +++ b/tests/language/stats/crosstabs.at @@ -1,3 +1,19 @@ +dnl PSPP - a program for statistical analysis. +dnl Copyright (C) 2017 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([CROSSTABS procedure]) AT_SETUP([CROSSTABS integer mode crash]) @@ -37,6 +53,32 @@ Total,.00,.00,.00,.00,1.00,.00,.00,1.00 ]]) AT_CLEANUP +# Bug #47600. +AT_SETUP([CROSSTABS integer mode crash 2]) +AT_DATA([crosstabs.sps], [dnl +DATA LIST lIST /x y. +BEGIN DATA. +4 5 +END DATA. + +CROSSTABS + VARIABLES x (1,3) y (1,7) + /TABLES x BY y. +]) +AT_CHECK([pspp -O format=csv crosstabs.sps], [0], + [[Table: Reading free-form data from INLINE. +Variable,Format +x,F8.0 +y,F8.0 + +Table: Summary. +,Cases,,,,, +,Valid,,Missing,,Total, +,N,Percent,N,Percent,N,Percent +x * y,0,0.0%,1,100.0%,1,100.0% +]]) +AT_CLEANUP + # Bug #22037. AT_SETUP([CROSSTABS long string crash]) AT_DATA([crosstabs.sps], @@ -376,36 +418,141 @@ z,Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Table: Directional measures. z,Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -1,Nominal by Nominal,Lambda,Symmetric,.40,.28,1.12, -,,,x Dependent,.25,.22,1.12, -,,,y Dependent,1.00,.00,1.12, -,,Goodman and Kruskal tau,x Dependent,.25,,, -,,,y Dependent,1.00,,, -,,Uncertainty Coefficient,Symmetric,.47,.18,, -,,,x Dependent,.31,.15,2.02, -,,,y Dependent,1.00,.00,2.02, -,Ordinal by Ordinal,Somers' d,Symmetric,.00,,.00, -,,,x Dependent,.00,.50,.00, -,,,y Dependent,.00,.20,.00, -,Nominal by Interval,Eta,x Dependent,.04,,, -,,,y Dependent,1.00,,, -2,Nominal by Nominal,Lambda,Symmetric,.50,.25,2.00, -,,,x Dependent,.33,.27,1.15, -,,,y Dependent,1.00,.00,1.15, -,,Goodman and Kruskal tau,x Dependent,.33,,, -,,,y Dependent,1.00,,, -,,Uncertainty Coefficient,Symmetric,.58,.17,, -,,,x Dependent,.41,.17,2.36, -,,,y Dependent,1.00,.00,2.36, -,Ordinal by Ordinal,Somers' d,Symmetric,-.67,,-1.73, -,,,x Dependent,-1.00,.00,-1.73, -,,,y Dependent,-.50,.29,-1.73, -,Nominal by Interval,Eta,x Dependent,.73,,, -,,,y Dependent,1.00,,, +1,Nominal by Nominal,Lambda,Symmetric,.40,.28,1.12,.264 +,,,x Dependent,.25,.22,1.12,.264 +,,,y Dependent,1.00,.00,1.12,.264 +,,Goodman and Kruskal tau,x Dependent,.25,,,. @&t@ +,,,y Dependent,1.00,,,. @&t@ +,,Uncertainty Coefficient,Symmetric,.47,.18,,. @&t@ +,,,x Dependent,.31,.15,2.02,. @&t@ +,,,y Dependent,1.00,.00,2.02,. @&t@ +,Ordinal by Ordinal,Somers' d,Symmetric,.00,,.00,1.000 +,,,x Dependent,.00,.50,.00,1.000 +,,,y Dependent,.00,.20,.00,1.000 +,Nominal by Interval,Eta,x Dependent,.04,,,. @&t@ +,,,y Dependent,1.00,,,. @&t@ +2,Nominal by Nominal,Lambda,Symmetric,.50,.25,2.00,.046 +,,,x Dependent,.33,.27,1.15,.248 +,,,y Dependent,1.00,.00,1.15,.248 +,,Goodman and Kruskal tau,x Dependent,.33,,,. @&t@ +,,,y Dependent,1.00,,,. @&t@ +,,Uncertainty Coefficient,Symmetric,.58,.17,,. @&t@ +,,,x Dependent,.41,.17,2.36,. @&t@ +,,,y Dependent,1.00,.00,2.36,. @&t@ +,Ordinal by Ordinal,Somers' d,Symmetric,-.67,,-1.73,.083 +,,,x Dependent,-1.00,.00,-1.73,.083 +,,,y Dependent,-.50,.29,-1.73,.083 +,Nominal by Interval,Eta,x Dependent,.73,,,. @&t@ +,,,y Dependent,1.00,,,. @&t@ ]]) AT_CLEANUP +AT_SETUP([CROSSTABS rounding weights with COUNT]) +AT_DATA([crosstabs.sps], + [[DATA LIST NOTABLE LIST /x y w. +BEGIN DATA. +1 1 1.4 +1 1 1.4 +1 2 1.6 +1 2 1.6 +2 1 1 +2 2 2 +END DATA. +WEIGHT BY w. + +* These should have the same effect (no rounding). +CROSSTABS /TABLES x BY y. +CROSSTABS /TABLES x BY y /COUNT ASIS. + +* Round input weights. +CROSSTABS /TABLES x BY y /COUNT CASE ROUND. +CROSSTABS /TABLES x BY y /COUNT CASE TRUNCATE. + +* Round cell weights. +CROSSTABS /TABLES x BY y /COUNT. +CROSSTABS /TABLES x BY y /COUNT TRUNCATE. +]]) + +AT_CHECK([pspp -O format=csv crosstabs.sps], [0], + [[Table: Summary. +,Cases,,,,, +,Valid,,Missing,,Total, +,N,Percent,N,Percent,N,Percent +x * y,9.00,100.0%,.00,0.0%,9.00,100.0% + +Table: x * y [count]. +,y,, +x,1.00,2.00,Total +1.00,2.80,3.20,6.00 +2.00,1.00,2.00,3.00 +Total,3.80,5.20,9.00 + +Table: Summary. +,Cases,,,,, +,Valid,,Missing,,Total, +,N,Percent,N,Percent,N,Percent +x * y,9.00,100.0%,.00,0.0%,9.00,100.0% + +Table: x * y [count]. +,y,, +x,1.00,2.00,Total +1.00,2.80,3.20,6.00 +2.00,1.00,2.00,3.00 +Total,3.80,5.20,9.00 + +Table: Summary. +,Cases,,,,, +,Valid,,Missing,,Total, +,N,Percent,N,Percent,N,Percent +x * y,9.00,100.0%,.00,0.0%,9.00,100.0% + +Table: x * y [count]. +,y,, +x,1.00,2.00,Total +1.00,2.00,4.00,6.00 +2.00,1.00,2.00,3.00 +Total,3.00,6.00,9.00 + +Table: Summary. +,Cases,,,,, +,Valid,,Missing,,Total, +,N,Percent,N,Percent,N,Percent +x * y,7.00,100.0%,.00,0.0%,7.00,100.0% + +Table: x * y [count]. +,y,, +x,1.00,2.00,Total +1.00,2.00,2.00,4.00 +2.00,1.00,2.00,3.00 +Total,3.00,4.00,7.00 + +Table: Summary. +,Cases,,,,, +,Valid,,Missing,,Total, +,N,Percent,N,Percent,N,Percent +x * y,9.00,100.0%,.00,0.0%,9.00,100.0% + +Table: x * y [count]. +,y,, +x,1.00,2.00,Total +1.00,3.00,3.00,6.00 +2.00,1.00,2.00,3.00 +Total,4.00,5.00,9.00 + +Table: Summary. +,Cases,,,,, +,Valid,,Missing,,Total, +,N,Percent,N,Percent,N,Percent +x * y,8.00,100.0%,.00,0.0%,8.00,100.0% +Table: x * y [count]. +,y,, +x,1.00,2.00,Total +1.00,2.00,3.00,5.00 +2.00,1.00,2.00,3.00 +Total,3.00,5.00,8.00 +]]) +AT_CLEANUP AT_SETUP([CROSSTABS descending sort order]) AT_DATA([crosstabs-descending.sps], @@ -1030,11 +1177,11 @@ x * y,1296.000,100.0%,.000,0.0%,1296.000,100.0% Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Nominal by Nominal,Lambda,Symmetric,.423,.021,16.875, -,,x Dependent,.497,.024,15.986, -,,y Dependent,.370,.020,16.339, -,Goodman and Kruskal tau,x Dependent,.382,,, -,,y Dependent,.198,,, +Nominal by Nominal,Lambda,Symmetric,.423,.021,16.875,.000 +,,x Dependent,.497,.024,15.986,.000 +,,y Dependent,.370,.020,16.339,.000 +,Goodman and Kruskal tau,x Dependent,.382,,,. @&t@ +,,y Dependent,.198,,,. @&t@ Table: Summary. ,Cases,,,,, @@ -1044,11 +1191,11 @@ x * y,137.000,100.0%,.000,0.0%,137.000,100.0% Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Nominal by Nominal,Lambda,Symmetric,.259,.081,2.902, -,,x Dependent,.250,.089,2.479, -,,y Dependent,.267,.085,2.766, -,Goodman and Kruskal tau,x Dependent,.129,,, -,,y Dependent,.123,,, +Nominal by Nominal,Lambda,Symmetric,.259,.081,2.902,.004 +,,x Dependent,.250,.089,2.479,.013 +,,y Dependent,.267,.085,2.766,.006 +,Goodman and Kruskal tau,x Dependent,.129,,,. @&t@ +,,y Dependent,.123,,,. @&t@ Table: Summary. ,Cases,,,,, @@ -1058,11 +1205,46 @@ x * y,6800.000,100.0%,.000,0.0%,6800.000,100.0% Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Nominal by Nominal,Lambda,Symmetric,.208,.010,18.793, -,,x Dependent,.224,.013,16.076, -,,y Dependent,.192,.012,14.438, -,Goodman and Kruskal tau,x Dependent,.089,,, -,,y Dependent,.081,,, +Nominal by Nominal,Lambda,Symmetric,.208,.010,18.793,.000 +,,x Dependent,.224,.013,16.076,.000 +,,y Dependent,.192,.012,14.438,.000 +,Goodman and Kruskal tau,x Dependent,.089,,,. @&t@ +,,y Dependent,.081,,,. @&t@ +]) +AT_CLEANUP + +AT_SETUP([CROSSTABS Goodman and Kruskal's lambda - treatment of ties]) +AT_DATA([lambda.sps], [dnl +SET FORMAT F8.3. + +* From Douglas Bonett. +DATA LIST LIST NOTABLE/x y w. +WEIGHT BY w. +BEGIN DATA. +1 1 225 +1 2 43 +1 3 216 +2 1 3 +2 2 1 +2 3 12 +END DATA. + +CROSSTABS x BY y/CELLS=NONE/STATISTICS=LAMBDA. +]) +AT_CHECK([pspp -O format=csv lambda.sps], [0], [dnl +Table: Summary. +,Cases,,,,, +,Valid,,Missing,,Total, +,N,Percent,N,Percent,N,Percent +x * y,500.000,100.0%,.000,0.0%,500.000,100.0% + +Table: Directional measures. +Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. +Nominal by Nominal,Lambda,Symmetric,.031,.013,2.336,.019 +,,x Dependent,.000,.000,NaN,NaN +,,y Dependent,.033,.014,2.336,.019 +,Goodman and Kruskal tau,x Dependent,.012,,,. @&t@ +,,y Dependent,.009,,,. @&t@ ]) AT_CLEANUP @@ -1116,9 +1298,9 @@ x * y,1.000000,100.0%,.000000,0.0%,1.000000,100.0% Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Ordinal by Ordinal,Somers' d,Symmetric,-.084,,-.149, -,,x Dependent,-.045,.300,-.149, -,,y Dependent,-.684,2.378,-.149, +Ordinal by Ordinal,Somers' d,Symmetric,-.084,,-.149,.882 +,,x Dependent,-.045,.300,-.149,.882 +,,y Dependent,-.684,2.378,-.149,.882 Table: Summary. ,Cases,,,,, @@ -1135,9 +1317,9 @@ N of Valid Cases,,687.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Ordinal by Ordinal,Somers' d,Symmetric,.371,,10.669, -,,x Dependent,.351,.032,10.669, -,,y Dependent,.394,.035,10.669, +Ordinal by Ordinal,Somers' d,Symmetric,.371,,10.669,.000 +,,x Dependent,.351,.032,10.669,.000 +,,y Dependent,.394,.035,10.669,.000 ]) AT_DATA([ordinal.sps], [dnl @@ -1263,9 +1445,9 @@ N of Valid Cases,,150.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Ordinal by Ordinal,Somers' d,Symmetric,1.000,,24.841, -,,x Dependent,1.000,.000,24.841, -,,y Dependent,1.000,.000,24.841, +Ordinal by Ordinal,Somers' d,Symmetric,1.000,,24.841,.000 +,,x Dependent,1.000,.000,24.841,.000 +,,y Dependent,1.000,.000,24.841,.000 Table: Summary. ,Cases,,,,, @@ -1281,9 +1463,9 @@ N of Valid Cases,,150.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Ordinal by Ordinal,Somers' d,Symmetric,1.000,,24.841, -,,x Dependent,1.000,.000,24.841, -,,y Dependent,1.000,.000,24.841, +Ordinal by Ordinal,Somers' d,Symmetric,1.000,,24.841,.000 +,,x Dependent,1.000,.000,24.841,.000 +,,y Dependent,1.000,.000,24.841,.000 Table: Summary. ,Cases,,,,, @@ -1299,9 +1481,9 @@ N of Valid Cases,,150.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Ordinal by Ordinal,Somers' d,Symmetric,-1.000,,-24.841, -,,x Dependent,-1.000,.000,-24.841, -,,y Dependent,-1.000,.000,-24.841, +Ordinal by Ordinal,Somers' d,Symmetric,-1.000,,-24.841,.000 +,,x Dependent,-1.000,.000,-24.841,.000 +,,y Dependent,-1.000,.000,-24.841,.000 Table: Summary. ,Cases,,,,, @@ -1317,9 +1499,9 @@ N of Valid Cases,,150.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Ordinal by Ordinal,Somers' d,Symmetric,.971,,24.841, -,,x Dependent,.944,.013,24.841, -,,y Dependent,1.000,.000,24.841, +Ordinal by Ordinal,Somers' d,Symmetric,.971,,24.841,.000 +,,x Dependent,.944,.013,24.841,.000 +,,y Dependent,1.000,.000,24.841,.000 Table: Summary. ,Cases,,,,, @@ -1335,9 +1517,9 @@ N of Valid Cases,,150.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Ordinal by Ordinal,Somers' d,Symmetric,.035,,1.009, -,,x Dependent,.805,.032,1.009, -,,y Dependent,.018,.017,1.009, +Ordinal by Ordinal,Somers' d,Symmetric,.035,,1.009,.313 +,,x Dependent,.805,.032,1.009,.313 +,,y Dependent,.018,.017,1.009,.313 Table: Summary. ,Cases,,,,, @@ -1353,9 +1535,9 @@ N of Valid Cases,,148.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Ordinal by Ordinal,Somers' d,Symmetric,-.206,,-2.641, -,,x Dependent,-.182,.069,-2.641, -,,y Dependent,-.237,.089,-2.641, +Ordinal by Ordinal,Somers' d,Symmetric,-.206,,-2.641,.008 +,,x Dependent,-.182,.069,-2.641,.008 +,,y Dependent,-.237,.089,-2.641,.008 Table: Summary. ,Cases,,,,, @@ -1372,14 +1554,14 @@ N of Valid Cases,,148.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Nominal by Nominal,Lambda,Symmetric,.338,.059,4.743, -,,x Dependent,.640,.085,4.875, -,,y Dependent,.174,.050,3.248, -,Goodman and Kruskal tau,x Dependent,.534,,, -,,y Dependent,.167,,, -Ordinal by Ordinal,Somers' d,Symmetric,-.074,,-1.022, -,,x Dependent,-.060,.059,-1.022, -,,y Dependent,-.096,.094,-1.022, +Nominal by Nominal,Lambda,Symmetric,.338,.059,4.743,.000 +,,x Dependent,.640,.085,4.875,.000 +,,y Dependent,.174,.050,3.248,.001 +,Goodman and Kruskal tau,x Dependent,.534,,,. @&t@ +,,y Dependent,.167,,,. @&t@ +Ordinal by Ordinal,Somers' d,Symmetric,-.074,,-1.022,.307 +,,x Dependent,-.060,.059,-1.022,.307 +,,y Dependent,-.096,.094,-1.022,.307 Table: Summary. ,Cases,,,,, @@ -1396,17 +1578,62 @@ N of Valid Cases,,212.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Nominal by Nominal,Lambda,Symmetric,.102,.067,1.473, -,,x Dependent,.027,.087,.302, -,,y Dependent,.165,.065,2.349, -,Goodman and Kruskal tau,x Dependent,.051,,, -,,y Dependent,.068,,, -Ordinal by Ordinal,Somers' d,Symmetric,.209,,3.338, -,,x Dependent,.202,.060,3.338, -,,y Dependent,.217,.064,3.338, +Nominal by Nominal,Lambda,Symmetric,.102,.067,1.473,.141 +,,x Dependent,.027,.087,.302,.763 +,,y Dependent,.165,.065,2.349,.019 +,Goodman and Kruskal tau,x Dependent,.051,,,. @&t@ +,,y Dependent,.068,,,. @&t@ +Ordinal by Ordinal,Somers' d,Symmetric,.209,,3.338,.001 +,,x Dependent,.202,.060,3.338,.001 +,,y Dependent,.217,.064,3.338,.001 +]) +AT_CLEANUP + +AT_SETUP([CROSSTABS Cohens Kappa]) + +dnl Example from Wood J. M. +dnl "Understanding and Computing Cohen's Kappa: A Tutorial" +dnl WebPsychEmpiricist. Oct 3 2007 +AT_DATA([kappa.sps], [dnl +SET FORMAT=F8.3. + +data list notable list /p1 * p2 * w *. +begin data. +0 0 18 +1 0 1 +0 1 1 +end data. + +weight by w. + +crosstabs /table = p1 by p2 + statistics = kappa + . +]) + +AT_CHECK([pspp -O format=csv kappa.sps], [0], [dnl +Table: Summary. +,Cases,,,,, +,Valid,,Missing,,Total, +,N,Percent,N,Percent,N,Percent +p1 * p2,20.000,100.0%,.000,0.0%,20.000,100.0% + +Table: p1 * p2 [[count]]. +,p2,, +p1,.000,1.000,Total +.000,18.000,1.000,19.000 +1.000,1.000,.000,1.000 +Total,19.000,1.000,20.000 + +Table: Symmetric measures. +Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. +Measure of Agreement,Kappa,-.053,.037,-.235, +N of Valid Cases,,20.000,,, ]) + AT_CLEANUP + AT_SETUP([CROSSTABS many statistics]) AT_DATA([crosstabs.sps], [dnl SET FORMAT=F8.4. @@ -1451,17 +1678,17 @@ N of Valid Cases,,66.0000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Nominal by Nominal,Lambda,Symmetric,.0455,.1629,.2723, -,,x Dependent,.0000,.0000,NaN, -,,y Dependent,.0500,.1791,.2723, -,Goodman and Kruskal tau,x Dependent,.1054,,, -,,y Dependent,.0434,,, -,Uncertainty Coefficient,Symmetric,.0780,.0474,, -,,x Dependent,.2217,.1062,1.5373, -,,y Dependent,.0473,.0306,1.5373, -Ordinal by Ordinal,Somers' d,Symmetric,.1960,,1.9920, -,,x Dependent,.1152,.0572,1.9920, -,,y Dependent,.6573,.1417,1.9920, +Nominal by Nominal,Lambda,Symmetric,.0455,.1629,.2723,.785 +,,x Dependent,.0000,.0000,NaN,NaN +,,y Dependent,.0500,.1791,.2723,.785 +,Goodman and Kruskal tau,x Dependent,.1054,,,. @&t@ +,,y Dependent,.0434,,,. @&t@ +,Uncertainty Coefficient,Symmetric,.0780,.0474,,. @&t@ +,,x Dependent,.2217,.1062,1.5373,. @&t@ +,,y Dependent,.0473,.0306,1.5373,. @&t@ +Ordinal by Ordinal,Somers' d,Symmetric,.1960,,1.9920,.046 +,,x Dependent,.1152,.0572,1.9920,.046 +,,y Dependent,.6573,.1417,1.9920,.046 ]) AT_CLEANUP @@ -1491,13 +1718,52 @@ x * y,987.000,100.0%,.000,0.0%,987.000,100.0% Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. -Nominal by Nominal,Lambda,Symmetric,.000,.000,NaN, -,,x Dependent,.000,.000,NaN, -,,y Dependent,.000,.000,NaN, -,Goodman and Kruskal tau,x Dependent,.076,,, -,,y Dependent,.108,,, -,Uncertainty Coefficient,Symmetric,.105,.012,, -,,x Dependent,.073,.009,7.890, -,,y Dependent,.184,.019,7.890, +Nominal by Nominal,Lambda,Symmetric,.000,.000,NaN,NaN +,,x Dependent,.000,.000,NaN,NaN +,,y Dependent,.000,.000,NaN,NaN +,Goodman and Kruskal tau,x Dependent,.076,,,. @&t@ +,,y Dependent,.108,,,. @&t@ +,Uncertainty Coefficient,Symmetric,.105,.012,,. @&t@ +,,x Dependent,.073,.009,7.890,. @&t@ +,,y Dependent,.184,.019,7.890,. @&t@ +]) +AT_CLEANUP + + + +AT_SETUP([CROSSTABS barchart]) +AT_DATA([bc.sps], [dnl +SET FORMAT=F8.3. + +DATA LIST LIST NOTABLE /x (a20) y (f8) z (f8) w (f8) . +BEGIN DATA. +This 1 0 416 +That 2 0 121 +Other 2 0 335 +This 2 0 231 +That 3 0 112 +Other 4 0 130 +This 1 1 160 +That 2 1 211 +Other 2 1 352 +This 2 1 212 +That 3 1 121 +Other 4 1 101 +END DATA. + +WEIGHT BY w. + +CROSSTABS + /table x BY y BY z + /table x BY y + /barchart. ]) + +AT_CHECK([pspp -O format=txt -o xxx bc.sps], [0], [ignore]) + +AT_CHECK([test -e xxx-1.png], [0], [ignore]) +AT_CHECK([test -e xxx-2.png], [0], [ignore]) + +AT_CHECK([diff xxx-1.png xxx-2.png], [0], [ignore]) + AT_CLEANUP