X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=tests%2Flanguage%2Fstats%2Fregression.at;h=c48dfaf7847dbed1ddd5de2ea76094ec6db22b23;hb=a016af53bdf60d1ab95e680e6b31311b21518b75;hp=e4fbdcbac76c15be4d6aa2370c4baed4d009fdb4;hpb=ab90b7f68c2151df4caaf376c7200443d1cf9f5e;p=pspp diff --git a/tests/language/stats/regression.at b/tests/language/stats/regression.at index e4fbdcbac7..c48dfaf784 100644 --- a/tests/language/stats/regression.at +++ b/tests/language/stats/regression.at @@ -4,6 +4,7 @@ AT_SETUP([LINEAR REGRESSION - basic]) AT_DATA([regression.sps], [dnl set format = F22.3. data list notable list / v0 to v2. +filter by v0. begin data 0.65377128 7.735648 -23.97588 -0.13087553 6.142625 -19.63854 @@ -21,6 +22,80 @@ list. ]) AT_CHECK([pspp -O format=csv regression.sps], [0], [dnl +regression.sps:16: warning: REGRESSION: REGRESSION with SAVE ignores FILTER. All cases will be processed. + +Table: Model Summary (v2) +,R,R Square,Adjusted R Square,Std. Error of the Estimate +,.971,.942,.925,1.337 + +Table: ANOVA (v2) +,,Sum of Squares,df,Mean Square,F,Sig. +,Regression,202.753,2,101.376,56.754,.000 +,Residual,12.504,7,1.786,, +,Total,215.256,9,,, + +Table: Coefficients (v2) +,,Unstandardized Coefficients,,Standardized Coefficients,, +,,B,Std. Error,Beta,t,Sig. +,(Constant),2.191,2.357,.000,.930,.380 +,v0,1.813,1.053,.171,1.722,.129 +,v1,-3.427,.332,-1.026,-10.334,.000 + +Table: Data List +v0,v1,v2,RES1,PRED1 +.654,7.736,-23.976,-.84,-23.13 +-.131,6.143,-19.639,-.54,-19.10 +.349,7.651,-25.266,-1.87,-23.40 +.692,6.125,-16.571,.97,-17.54 +-.074,8.246,-25.800,.40,-26.20 +-.344,6.032,-17.567,1.53,-19.10 +.760,9.832,-28.360,1.77,-30.13 +-.470,5.344,-16.795,.18,-16.97 +-.061,8.838,-29.257,-1.05,-28.21 +.562,6.200,-18.582,-.54,-18.04 +]) +AT_CLEANUP + + +AT_SETUP([LINEAR REGRESSION - one save]) +AT_DATA([regression.sps], [dnl +set format = F22.3. +data list notable list / v0 to v2. +begin data + 0.65377128 7.735648 -23.97588 +-0.13087553 6.142625 -19.63854 + 0.34880368 7.651430 -25.26557 + 0.69249021 6.125125 -16.57090 +-0.07368178 8.245789 -25.80001 +-0.34404919 6.031540 -17.56743 + 0.75981559 9.832291 -28.35977 +-0.46958313 5.343832 -16.79548 +-0.06108490 8.838262 -29.25689 + 0.56154863 6.200189 -18.58219 +end data +regression /variables=v0 v1 v2 /statistics defaults /dependent=v2 /method=enter /save=resid. +regression /variables=v0 v1 v2 /statistics defaults /dependent=v2 /method=enter /save=pred. +list. +]) + +AT_CHECK([pspp -O format=csv regression.sps], [0], [dnl +Table: Model Summary (v2) +,R,R Square,Adjusted R Square,Std. Error of the Estimate +,.971,.942,.925,1.337 + +Table: ANOVA (v2) +,,Sum of Squares,df,Mean Square,F,Sig. +,Regression,202.753,2,101.376,56.754,.000 +,Residual,12.504,7,1.786,, +,Total,215.256,9,,, + +Table: Coefficients (v2) +,,Unstandardized Coefficients,,Standardized Coefficients,, +,,B,Std. Error,Beta,t,Sig. +,(Constant),2.191,2.357,.000,.930,.380 +,v0,1.813,1.053,.171,1.722,.129 +,v1,-3.427,.332,-1.026,-10.334,.000 + Table: Model Summary (v2) ,R,R Square,Adjusted R Square,Std. Error of the Estimate ,.971,.942,.925,1.337 @@ -32,11 +107,11 @@ Table: ANOVA (v2) ,Total,215.256,9,,, Table: Coefficients (v2) +,,Unstandardized Coefficients,,Standardized Coefficients,, ,,B,Std. Error,Beta,t,Sig. ,(Constant),2.191,2.357,.000,.930,.380 ,v0,1.813,1.053,.171,1.722,.129 ,v1,-3.427,.332,-1.026,-10.334,.000 -,,,,,, Table: Data List v0,v1,v2,RES1,PRED1 @@ -166,12 +241,11 @@ end input program. regression /variables = x0 x1 /dependent = y ycopy - /statistics = all + /statistics = default. ]) AT_CHECK([pspp -O format=csv regression.sps > output], [0], [ignore]) - AT_CHECK([head -16 output > first], [0], []) AT_CHECK([tail -16 output > second], [0], []) @@ -1688,8 +1762,8 @@ begin data end data regression /variables=v0 v1 /statistics defaults /dependent=v0 /method=enter. ]) -AT_CHECK([pspp -o pspp.csv regression.sps]) -AT_CHECK([cat pspp.csv], [0], [dnl + +AT_CHECK([pspp -O format=csv regression.sps], [0], [dnl Table: Reading free-form data from INLINE. Variable,Format v0,F8.0 @@ -1701,16 +1775,17 @@ Table: Model Summary (v0) Table: ANOVA (v0) ,,Sum of Squares,df,Mean Square,F,Sig. -,Regression,235.23,1,235.23,3.58,.06 +,Regression,235.23,1,235.23,3.58,.059 ,Residual,98438.40,1498,65.71,, ,Total,98673.63,1499,,, Table: Coefficients (v0) +,,Unstandardized Coefficients,,Standardized Coefficients,, ,,B,Std. Error,Beta,t,Sig. -,(Constant),1.24,.42,.00,2.95,.00 -,v1,1.37,.72,.05,1.89,.06 -,,,,,, +,(Constant),1.24,.42,.00,2.95,.003 +,v1,1.37,.72,.05,1.89,.059 ]) + AT_CLEANUP AT_SETUP([LINEAR REGRESSION no crash on all missing]) @@ -1812,3 +1887,246 @@ regression /variables=v0 v1 AT_CHECK([pspp ss.sps], [1], [ignore]) AT_CLEANUP + + +dnl The following example comes from +dnl http://www.ats.ucla.edu/stat/spss/output/reg_spss%28long%29.htm +AT_SETUP([LINEAR REGRESSION coefficient confidence interval]) + +AT_DATA([conf.sps], [dnl +set format = F22.3. + +data list notable list /math female socst read science * +begin data. + 41.00 .00 57.00 57.00 47.00 + 53.00 1.00 61.00 68.00 63.00 + 54.00 .00 31.00 44.00 58.00 + 47.00 .00 56.00 63.00 53.00 + 57.00 .00 61.00 47.00 53.00 + 51.00 .00 61.00 44.00 63.00 + 42.00 .00 61.00 50.00 53.00 + 45.00 .00 36.00 34.00 39.00 + 54.00 .00 51.00 63.00 58.00 + 52.00 .00 51.00 57.00 50.00 + 51.00 .00 61.00 60.00 53.00 + 51.00 .00 61.00 57.00 63.00 + 71.00 .00 71.00 73.00 61.00 + 57.00 .00 46.00 54.00 55.00 + 50.00 .00 56.00 45.00 31.00 + 43.00 .00 56.00 42.00 50.00 + 51.00 .00 56.00 47.00 50.00 + 60.00 .00 56.00 57.00 58.00 + 62.00 .00 61.00 68.00 55.00 + 57.00 .00 46.00 55.00 53.00 + 35.00 .00 41.00 63.00 66.00 + 75.00 .00 66.00 63.00 72.00 + 45.00 .00 56.00 50.00 55.00 + 57.00 .00 61.00 60.00 61.00 + 45.00 .00 46.00 37.00 39.00 + 46.00 .00 31.00 34.00 39.00 + 66.00 .00 66.00 65.00 61.00 + 57.00 .00 46.00 47.00 58.00 + 49.00 .00 46.00 44.00 39.00 + 49.00 .00 41.00 52.00 55.00 + 57.00 .00 51.00 42.00 47.00 + 64.00 .00 61.00 76.00 64.00 + 63.00 .00 71.00 65.00 66.00 + 57.00 .00 31.00 42.00 72.00 + 50.00 .00 61.00 52.00 61.00 + 58.00 .00 66.00 60.00 61.00 + 75.00 .00 66.00 68.00 66.00 + 68.00 .00 66.00 65.00 66.00 + 44.00 .00 36.00 47.00 36.00 + 40.00 .00 51.00 39.00 39.00 + 41.00 .00 51.00 47.00 42.00 + 62.00 .00 51.00 55.00 58.00 + 57.00 .00 51.00 52.00 55.00 + 43.00 .00 41.00 42.00 50.00 + 48.00 .00 66.00 65.00 63.00 + 63.00 .00 46.00 55.00 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54.00 .00 56.00 47.00 42.00 + 57.00 .00 56.00 63.00 55.00 + 54.00 .00 36.00 36.00 61.00 + 71.00 .00 56.00 68.00 66.00 + 48.00 .00 56.00 63.00 63.00 + 40.00 .00 41.00 55.00 44.00 + 64.00 .00 66.00 55.00 63.00 + 51.00 .00 56.00 52.00 53.00 + 39.00 .00 56.00 34.00 42.00 + 40.00 .00 31.00 50.00 34.00 + 61.00 .00 56.00 55.00 61.00 + 66.00 .00 46.00 52.00 47.00 + 49.00 .00 46.00 63.00 66.00 + 65.00 1.00 61.00 68.00 69.00 + 52.00 1.00 48.00 39.00 44.00 + 46.00 1.00 51.00 44.00 47.00 + 61.00 1.00 51.00 50.00 63.00 + 72.00 1.00 56.00 71.00 66.00 + 71.00 1.00 71.00 63.00 69.00 + 40.00 1.00 41.00 34.00 39.00 + 69.00 1.00 61.00 63.00 61.00 + 64.00 1.00 66.00 68.00 69.00 + 56.00 1.00 61.00 47.00 66.00 + 49.00 1.00 41.00 47.00 33.00 + 54.00 1.00 51.00 63.00 50.00 + 53.00 1.00 51.00 52.00 61.00 + 66.00 1.00 56.00 55.00 42.00 + 67.00 1.00 56.00 60.00 50.00 + 40.00 1.00 33.00 35.00 51.00 + 46.00 1.00 56.00 47.00 50.00 + 69.00 1.00 71.00 71.00 58.00 + 40.00 1.00 56.00 57.00 61.00 + 41.00 1.00 51.00 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63.00 1.00 71.00 65.00 55.00 + 54.00 1.00 41.00 39.00 53.00 + 45.00 1.00 36.00 50.00 58.00 + 60.00 1.00 51.00 52.00 56.00 + 49.00 1.00 51.00 60.00 50.00 + 48.00 1.00 51.00 44.00 39.00 + 57.00 1.00 61.00 52.00 63.00 + 55.00 1.00 61.00 55.00 50.00 + 66.00 1.00 56.00 50.00 66.00 + 64.00 1.00 71.00 65.00 58.00 + 55.00 1.00 51.00 52.00 53.00 + 42.00 1.00 36.00 47.00 42.00 + 56.00 1.00 61.00 63.00 55.00 + 53.00 1.00 66.00 50.00 53.00 + 41.00 1.00 41.00 42.00 42.00 + 42.00 1.00 41.00 36.00 50.00 + 53.00 1.00 56.00 50.00 55.00 + 42.00 1.00 51.00 41.00 34.00 + 60.00 1.00 56.00 47.00 50.00 + 52.00 1.00 56.00 55.00 42.00 + 38.00 1.00 46.00 42.00 36.00 + 57.00 1.00 52.00 57.00 55.00 + 58.00 1.00 61.00 55.00 58.00 + 65.00 1.00 61.00 63.00 53.00 +end data. + +regression + /variables = math female socst read + /statistics = coeff r anova ci (95) + /dependent = science + /method = enter +]) + +AT_CHECK([pspp -O format=csv conf.sps], [0], [dnl +Table: Model Summary (science) +,R,R Square,Adjusted R Square,Std. Error of the Estimate +,.699,.489,.479,7.148 + +Table: ANOVA (science) +,,Sum of Squares,df,Mean Square,F,Sig. +,Regression,9543.721,4,2385.930,46.695,.000 +,Residual,9963.779,195,51.096,, +,Total,19507.500,199,,, + +Table: Coefficients (science) +,,Unstandardized Coefficients,,Standardized Coefficients,,,95% Confidence Interval for B, +,,B,Std. Error,Beta,t,Sig.,Lower Bound,Upper Bound +,(Constant),12.325,3.194,.000,3.859,.000,6.027,18.624 +,math,.389,.074,.368,5.252,.000,.243,.535 +,female,-2.010,1.023,-.101,-1.965,.051,-4.027,.007 +,socst,.050,.062,.054,.801,.424,-.073,.173 +,read,.335,.073,.347,4.607,.000,.192,.479 +]) + + +AT_CLEANUP