+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 <http://www.gnu.org/licenses/>.
+dnl
AT_BANNER([LINEAR REGRESSION])
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
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,t,Sig.
+,B,Std. Error,Beta,,
+(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
+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,,,
+,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
+,Unstandardized Coefficients,,Standardized Coefficients,t,Sig.
+,B,Std. Error,Beta,,
+(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
+
+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,t,Sig.
+,B,Std. Error,Beta,,
+(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
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
v1,F8.0
Table: Model Summary (v0)
-,R,R Square,Adjusted R Square,Std. Error of the Estimate
-,.05,.00,.00,8.11
+R,R Square,Adjusted R Square,Std. Error of the Estimate
+.05,.00,.00,8.11
Table: ANOVA (v0)
-,,Sum of Squares,df,Mean Square,F,Sig.
-,Regression,235.23,1,235.23,3.58,.06
-,Residual,98438.40,1498,65.71,,
-,Total,98673.63,1499,,,
+,Sum of Squares,df,Mean Square,F,Sig.
+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
+,Unstandardized Coefficients,,Standardized Coefficients,t,Sig.
+,B,Std. Error,Beta,,
+(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])
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
+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,,,
+,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
+,Unstandardized Coefficients,,Standardized Coefficients,t,Sig.,95% Confidence Interval for B,
+,B,Std. Error,Beta,,,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
+
+
+dnl Checks for regression against bug #44877.
+AT_SETUP([LINEAR REGRESSION crash with long string variables])
+AT_DATA([regression.sps], [dnl
+SET DECIMAL=DOT.
+
+DATA LIST notable LIST /text (A24) Y * X1 *
+BEGIN DATA.
+V00276601 0.00 90.00
+V00292909 10.00 30.00
+V00291204 20.00 20.00
+V00300070 0.00 90.00
+END DATA.
+
+REGRESSION
+/VARIABLES= Y
+/DEPENDENT= X1
+/METHOD=ENTER
+/STATISTICS=COEFF R ANOVA
+/SAVE= RESID.
+
+LIST.
+])
+AT_CHECK([pspp -o pspp.csv regression.sps])
+AT_CHECK([cat pspp.csv], [0], [dnl
+Table: Model Summary (X1)
+R,R Square,Adjusted R Square,Std. Error of the Estimate
+.95,.89,.84,15.08
+
+Table: ANOVA (X1)
+,Sum of Squares,df,Mean Square,F,Sig.
+Regression,3820.45,1,3820.45,16.81,.055
+Residual,454.55,2,227.27,,
+Total,4275.00,3,,,
+
+Table: Coefficients (X1)
+,Unstandardized Coefficients,,Standardized Coefficients,t,Sig.
+,B,Std. Error,Beta,,
+(Constant),85.45,10.16,.00,8.41,.004
+Y,-3.73,.91,-.95,-4.10,.055
+
+Table: Data List
+text,Y,X1,RES1
+V00276601,.00,90.00,4.55
+V00292909,10.00,30.00,-18.18
+V00291204,20.00,20.00,9.09
+V00300070,.00,90.00,4.55
+])
+AT_CLEANUP
+
+
+dnl Test for a crash which happened on bad input syntax
+AT_SETUP([LINEAR REGRESSION -- Empty Parentheses])
+
+AT_DATA([empty-parens.sps], [dnl
+set format = F22.3.
+
+data list notable list /math female socst read science *
+begin data.
+ 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 ()
+ /dependent = science
+ /method = enter
+])
+
+AT_CHECK([pspp -o pspp.csv empty-parens.sps], [1], [ignore])
+
+AT_CLEANUP
+
+
+
+
+AT_SETUP([LINEAR REGRESSION varibles on ENTER subcommand])
+AT_DATA([regression.sps], [dnl
+SET FORMAT=F10.3.
+
+DATA LIST notable LIST /number * value *.
+BEGIN DATA
+ 16 7.25
+ 0 .00
+ 1 .10
+ 9 27.9
+ 0 .00
+ 7 3.65
+ 14 16.8
+ 24 9.15
+ 0 .00
+ 24 19.0
+ 7 4.05
+ 12 7.90
+ 6 .75
+ 11 1.40
+ 0 .00
+ 3 2.30
+ 12 7.60
+ 11 6.80
+ 16 8.65
+END DATA.
+
+REGRESSION
+ /STATISTICS COEFF R ANOVA
+ /DEPENDENT value
+ /METHOD=ENTER number.
+])
+
+
+AT_CHECK([pspp -O format=csv regression.sps], [0], [dnl
+Table: Model Summary (value)
+R,R Square,Adjusted R Square,Std. Error of the Estimate
+.612,.374,.338,6.176
+
+Table: ANOVA (value)
+,Sum of Squares,df,Mean Square,F,Sig.
+Regression,388.065,1,388.065,10.173,.005
+Residual,648.498,17,38.147,,
+Total,1036.563,18,,,
+
+Table: Coefficients (value)
+,Unstandardized Coefficients,,Standardized Coefficients,t,Sig.
+,B,Std. Error,Beta,,
+(Constant),.927,2.247,.000,.413,.685
+number,.611,.192,.612,3.189,.005
+])
+
+AT_CLEANUP
+
+
+
+AT_SETUP([LINEAR REGRESSION /ORIGIN])
+AT_DATA([regression-origin.sps], [dnl
+SET FORMAT=F10.3.
+
+DATA LIST notable LIST /number * value *.
+BEGIN DATA
+ 16 7.25
+ 0 .00
+ 1 .10
+ 9 27.9
+ 0 .00
+ 7 3.65
+ 14 16.8
+ 24 9.15
+ 0 .00
+ 24 19.0
+ 7 4.05
+ 12 7.90
+ 6 .75
+ 11 1.40
+ 0 .00
+ 3 2.30
+ 12 7.60
+ 11 6.80
+ 16 8.65
+END DATA.
+
+REGRESSION
+ /STATISTICS COEFF R ANOVA
+ /DEPENDENT value
+ /ORIGIN
+ /METHOD=ENTER number.
+])
+
+
+AT_CHECK([pspp -O format=csv regression-origin.sps], [0], [dnl
+Table: Model Summary (value)
+R,R Square,Adjusted R Square,Std. Error of the Estimate
+.802,.643,.622,6.032
+
+Table: ANOVA (value)
+,Sum of Squares,df,Mean Square,F,Sig.
+Regression,1181.726,1,1181.726,32.475,.000
+Residual,654.989,18,36.388,,
+Total,1836.715,19,,,
+
+Table: Coefficients (value)
+,Unstandardized Coefficients,,Standardized Coefficients,t,Sig.
+,B,Std. Error,Beta,,
+number,.672,.118,.802,5.699,.000
+])
+
+AT_CLEANUP
+
+dnl This is an example from doc/tutorial.texi
+dnl So if the results of this have to be changed in any way,
+dnl make sure to update that file.
+AT_SETUP([REGRESSION tutorial example])
+cp $top_srcdir/examples/repairs.sav .
+AT_DATA([regression.sps], [dnl
+GET FILE='repairs.sav'.
+REGRESSION /VARIABLES=mtbf duty_cycle /DEPENDENT=mttr.
+REGRESSION /VARIABLES=mtbf /DEPENDENT=mttr.
+])
+AT_CHECK([pspp -o pspp.csv -o pspp.txt regression.sps])
+AT_CHECK([cat pspp.csv], [0], [dnl
+Table: Model Summary (Mean time to repair (hours) )
+R,R Square,Adjusted R Square,Std. Error of the Estimate
+.99,.99,.99,2.24
+
+Table: ANOVA (Mean time to repair (hours) )
+,Sum of Squares,df,Mean Square,F,Sig.
+Regression,5308.87,2,2654.44,530.75,.000
+Residual,60.02,12,5.00,,
+Total,5368.89,14,,,
+
+Table: Coefficients (Mean time to repair (hours) )
+,Unstandardized Coefficients,,Standardized Coefficients,t,Sig.
+,B,Std. Error,Beta,,
+(Constant),9.81,1.50,.00,6.54,.000
+Mean time between failures (months) ,3.10,.10,.99,32.43,.000
+Ratio of working to non-working time,1.09,1.78,.02,.61,.552
+
+Table: Model Summary (Mean time to repair (hours) )
+R,R Square,Adjusted R Square,Std. Error of the Estimate
+.99,.99,.99,2.18
+
+Table: ANOVA (Mean time to repair (hours) )
+,Sum of Squares,df,Mean Square,F,Sig.
+Regression,5307.00,1,5307.00,1114.73,.000
+Residual,61.89,13,4.76,,
+Total,5368.89,14,,,
+
+Table: Coefficients (Mean time to repair (hours) )
+,Unstandardized Coefficients,,Standardized Coefficients,t,Sig.
+,B,Std. Error,Beta,,
+(Constant),10.50,.96,.00,10.96,.000
+Mean time between failures (months) ,3.11,.09,.99,33.39,.000
+])
+AT_CLEANUP
projects / pspp / blobdiff