--- /dev/null
+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 <http://www.gnu.org/licenses/>.
+dnl
+AT_BANNER([NPAR TESTS])
+
+AT_SETUP([NPAR TESTS BINOMIAL P < 0.5; N1/N2 < 1])
+AT_DATA([npar.sps], [dnl
+SET FORMAT F8.3.
+
+DATA LIST LIST NOTABLE /x * w *.
+BEGIN DATA.
+1 6
+2 15
+END DATA.
+
+WEIGHT BY w.
+
+NPAR TESTS
+ /BINOMIAL(0.3) = x
+ .
+])
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Binomial Test
+,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (1-tailed)
+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_DATA([npar.sps], [dnl
+SET FORMAT F8.3.
+
+DATA LIST LIST NOTABLE /x (F8.0) w (F8.0).
+BEGIN DATA.
+1 7
+2 6
+END DATA.
+
+WEIGHT BY w.
+
+NPAR TESTS
+ /BINOMIAL(0.4) = x
+ .
+])
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Binomial Test
+,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (1-tailed)
+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_DATA([npar.sps], [dnl
+SET FORMAT F8.3.
+
+DATA LIST LIST NOTABLE /x (F8.0) w (F8.0).
+BEGIN DATA.
+1 8
+2 8
+END DATA.
+
+WEIGHT BY w.
+
+NPAR TESTS
+ /BINOMIAL(0.4) = x
+ .
+])
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Binomial Test
+,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (1-tailed)
+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_DATA([npar.sps], [dnl
+SET FORMAT F8.3.
+
+DATA LIST LIST NOTABLE /x (F8.0) w (F8.0).
+BEGIN DATA.
+1 11
+2 12
+END DATA.
+
+WEIGHT BY w.
+
+NPAR TESTS
+ /BINOMIAL(0.6) = x
+ .
+])
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Binomial Test
+,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (1-tailed)
+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_DATA([npar.sps], [dnl
+SET FORMAT F8.3.
+
+DATA LIST LIST NOTABLE /x (F8.0) w (F8.0).
+BEGIN DATA.
+1 11
+2 9
+END DATA.
+
+WEIGHT BY w.
+
+NPAR TESTS
+ /BINOMIAL(0.6) = x.
+])
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Binomial Test
+,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (1-tailed)
+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_DATA([npar.sps], [dnl
+SET FORMAT F8.3.
+
+DATA LIST LIST NOTABLE /x (F8.0) w (F8.0).
+BEGIN DATA.
+1 11
+2 11
+END DATA.
+
+WEIGHT BY w.
+
+NPAR TESTS
+ /BINOMIAL(0.6) = x.
+])
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Binomial Test
+,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (1-tailed)
+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_DATA([npar.sps], [dnl
+SET FORMAT F8.3.
+
+DATA LIST LIST NOTABLE /x (F8.0) w (F8.0).
+BEGIN DATA.
+1 8
+2 15
+END DATA.
+
+WEIGHT BY w.
+
+NPAR TESTS
+ /BINOMIAL = x
+ .
+])
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Binomial Test
+,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (2-tailed)
+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_DATA([npar.sps], [dnl
+SET FORMAT F8.3.
+
+DATA LIST LIST NOTABLE /x (F8.0) w (F8.0).
+BEGIN DATA.
+1 12
+2 6
+END DATA.
+
+WEIGHT BY w.
+
+NPAR TESTS
+ /BINOMIAL(0.5) = x.
+])
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Binomial Test
+,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (2-tailed)
+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_DATA([npar.sps], [dnl
+SET FORMAT F8.3.
+
+DATA LIST LIST NOTABLE /x (F8.0) w (F8.0).
+BEGIN DATA.
+1 10
+2 10
+END DATA.
+
+WEIGHT BY w.
+
+NPAR TESTS
+ /BINOMIAL(0.5) = x
+ .
+])
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Binomial Test
+,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (2-tailed)
+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_DATA([npar.sps], [dnl
+SET FORMAT F8.3.
+
+DATA LIST LIST NOTABLE /x * w *.
+BEGIN DATA.
+9 3
+10 7
+11 16
+END DATA.
+
+WEIGHT BY w.
+
+NPAR TESTS
+ /BINOMIAL(0.5) = x (10)
+ .
+])
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Binomial Test
+,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (2-tailed)
+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_DATA([npar.sps], [dnl
+SET FORMAT F8.3.
+
+DATA LIST LIST NOTABLE /x * w *.
+BEGIN DATA.
+10 10
+15 45
+20 13
+END DATA.
+
+WEIGHT BY w.
+
+NPAR TESTS
+ /BINOMIAL(0.5) = x (10, 20)
+ .
+])
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Binomial Test
+,,Category,N,Observed Prop.,Test Prop.,Exact Sig. (2-tailed)
+x,Group 1,10.000,10.000,.435,.500,.678
+,Group 2,20.000,13.000,.565,,
+,Total,,23.000,1.000,,
+])
+AT_CLEANUP
+
+
+
+dnl Test for a bug which caused binomial to crash.
+AT_SETUP([NPAR TESTS BINOMIAL - crash])
+AT_DATA([nparX.sps], [dnl
+data list list /range *.
+begin data.
+0
+1
+end data.
+
+* This is invalid syntax
+NPAR TEST
+ /BINOMIAL(0.5) = Range().
+
+])
+AT_CHECK([pspp -O format=csv nparX.sps], [1], [ignore])
+
+AT_CLEANUP
+
+
+
+AT_SETUP([NPAR TESTS CHISQUARE])
+AT_DATA([npar.sps], [dnl
+DATA LIST NOTABLE LIST /x * y * w *.
+BEGIN DATA.
+1 2 1
+2 1 3
+3.1 1 4
+3.2 2 1
+4 2 2
+5 3 1
+1 4 2
+END DATA.
+
+WEIGHT BY w.
+
+NPAR TESTS
+ CHISQUARE=x y
+ .
+
+NPAR TESTS
+ CHISQUARE=y
+ /EXPECTED=3 4 5 4
+ .
+
+NPAR TESTS
+ CHISQUARE=x y(2, 4)
+ /EXPECTED = 6 10 3
+ .
+])
+
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: x
+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
+3.20,1.00,2.33,-1.33
+4.00,2.00,2.33,-.33
+5.00,1.00,2.33,-1.33
+Total,14.00,,
+
+Table: y
+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
+4.00,2.00,3.50,-1.50
+Total,14.00,,
+
+Table: Test Statistics
+,Chi-square,df,Asymp. Sig.
+x,3.14,5,.678
+y,6.00,3,.112
+
+Table: y
+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
+4.00,2.00,3.50,-1.50
+Total,14.00,,
+
+Table: Test Statistics
+,Chi-square,df,Asymp. Sig.
+y,10.61,3,.014
+
+Table: Frequencies
+,x,,,,y,,,
+,Category,Observed N,Expected N,Residual,Category,Observed N,Expected N,Residual
+1,2.00,3.00,3.16,-.16,2.00,4.00,2.21,1.79
+2,3.00,5.00,5.26,-.26,3.00,1.00,3.68,-2.68
+3,4.00,2.00,1.58,.42,4.00,2.00,1.11,.89
+Total,,10.00,,,,7.00,,
+
+Table: Test Statistics
+,Chi-square,df,Asymp. Sig.
+x,.13,2,.936
+y,4.13,2,.127
+])
+
+AT_CLEANUP
+
+AT_SETUP([NPAR TESTS CHISQUARE expected values missing])
+AT_DATA([npar.sps], [dnl
+DATA LIST NOTABLE LIST /x * y * w *.
+BEGIN DATA.
+1 2 1
+2 1 3
+3.1 1 4
+3.2 2 1
+4 2 2
+5 3 1
+1 4 2
+END DATA.
+
+WEIGHT BY w.
+
+NPAR TESTS
+ CHISQUARE=y
+ /EXPECTED = 3 4 5 4 3 1
+ .
+])
+
+AT_CHECK([pspp -O format=csv npar.sps], [1], [dnl
+"error: CHISQUARE test specified 6 expected values, but variable y has 4 distinct values."
+
+Table: Test Statistics
+,Chi-square,df,Asymp. Sig.
+y,.00,0,1.000
+])
+
+AT_CLEANUP
+
+AT_SETUP([NPAR TESTS CHISQUARE with DESCRIPTIVES])
+AT_DATA([npar.sps], [dnl
+DATA LIST NOTABLE LIST /x * y * w * .
+BEGIN DATA.
+1 2 1
+2 1 3
+3.1 1 4
+3.2 2 1
+4 2 2
+5 3 1
+1 4 2
+. 5 1
+END DATA.
+
+WEIGHT BY w.
+
+MISSING VALUES x (4).
+
+NPAR TESTS
+ CHISQUARE=x y(-2,5)
+ /MISSING=ANALYSIS
+ /STATISTICS=DESCRIPTIVES
+ .
+])
+
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Frequencies
+,x,,,,y,,,
+,Category,Observed N,Expected N,Residual,Category,Observed N,Expected N,Residual
+1,-2.00,.00,1.50,-1.50,-2.00,.00,1.88,-1.88
+2,-1.00,.00,1.50,-1.50,-1.00,.00,1.88,-1.88
+3,.00,.00,1.50,-1.50,.00,.00,1.88,-1.88
+4,1.00,3.00,1.50,1.50,1.00,7.00,1.88,5.13
+5,2.00,3.00,1.50,1.50,2.00,4.00,1.88,2.13
+6,3.00,5.00,1.50,3.50,3.00,1.00,1.88,-.88
+7,4.00,.00,1.50,-1.50,4.00,2.00,1.88,.13
+8,5.00,1.00,1.50,-.50,5.00,1.00,1.88,-.88
+Total,,12.00,,,,15.00,,
+
+Table: Test Statistics
+,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
+])
+AT_CLEANUP
+
+AT_SETUP([NPAR TESTS CHISQUARE, listwise missing])
+AT_DATA([npar.sps], [dnl
+DATA LIST NOTABLE LIST /x * y * w * .
+BEGIN DATA.
+1 2 1
+2 1 3
+3.1 1 4
+3.2 2 1
+4 2 2
+5 3 1
+1 4 2
+. 5 1
+END DATA.
+
+WEIGHT BY w.
+
+* MISSING VALUES x (4).
+
+NPAR TESTS
+ CHISQUARE=x y(-2,5)
+ /MISSING=LISTWISE
+ /STATISTICS=DESCRIPTIVES
+ .
+])
+
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Frequencies
+,x,,,,y,,,
+,Category,Observed N,Expected N,Residual,Category,Observed N,Expected N,Residual
+1,-2.00,.00,1.75,-1.75,-2.00,.00,1.75,-1.75
+2,-1.00,.00,1.75,-1.75,-1.00,.00,1.75,-1.75
+3,.00,.00,1.75,-1.75,.00,.00,1.75,-1.75
+4,1.00,3.00,1.75,1.25,1.00,7.00,1.75,5.25
+5,2.00,3.00,1.75,1.25,2.00,4.00,1.75,2.25
+6,3.00,5.00,1.75,3.25,3.00,1.00,1.75,-.75
+7,4.00,2.00,1.75,.25,4.00,2.00,1.75,.25
+8,5.00,1.00,1.75,-.75,5.00,.00,1.75,-1.75
+Total,,14.00,,,,14.00,,
+
+Table: Test Statistics
+,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
+])
+AT_CLEANUP
+
+AT_SETUP([NPAR TESTS WILCOXON])
+AT_DATA([npar.sps], [dnl
+data list notable list /foo * bar * w (f8.0).
+begin data.
+1.00 1.00 1
+1.00 2.00 1
+2.00 1.00 1
+1.00 4.00 1
+2.00 5.00 1
+1.00 19.00 1
+2.00 7.00 1
+4.00 5.00 1
+1.00 12.00 1
+2.00 13.00 1
+2.00 2.00 1
+12.00 .00 2
+12.00 1.00 1
+13.00 1.00 1
+end data
+
+variable labels foo "first" bar "second".
+
+weight by w.
+
+npar test
+ /wilcoxon=foo with bar (paired)
+ /missing analysis
+ /method=exact.
+])
+
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Ranks
+,,N,Mean Rank,Sum of Ranks
+first - second,Negative Ranks,8,6.00,48.00
+,Positive Ranks,5,8.60,43.00
+,Ties,2,,
+,Total,15,,
+
+Table: Test Statistics
+,first - second
+Z,-.18
+Asymp. Sig. (2-tailed),.861
+Exact Sig. (2-tailed),.893
+Exact Sig. (1-tailed),.446
+])
+
+AT_CLEANUP
+
+AT_SETUP([NPAR TESTS WILCOXON with missing values])
+AT_DATA([npar.sps], [dnl
+data list notable list /foo * bar * dummy *.
+begin data.
+1.00 1.00 1
+1.00 2.00 1
+2.00 1.00 1
+1.00 4.00 .
+2.00 5.00 .
+1.00 19.00 .
+2.00 7.00 1
+4.00 5.00 1
+1.00 12.00 1
+2.00 13.00 1
+2.00 2.00 1
+12.00 .00 1
+12.00 .00 1
+34.2 . 1
+12.00 1.00 1
+13.00 1.00 1
+end data
+
+variable labels foo "first" bar "second".
+
+npar test
+ /wilcoxon=foo with bar (paired)
+ /missing analysis
+ /method=exact.
+])
+
+dnl This is the same output as the previous test.
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Ranks
+,,N,Mean Rank,Sum of Ranks
+first - second,Negative Ranks,8,6.00,48.00
+,Positive Ranks,5,8.60,43.00
+,Ties,2,,
+,Total,15,,
+
+Table: Test Statistics
+,first - second
+Z,-.18
+Asymp. Sig. (2-tailed),.861
+Exact Sig. (2-tailed),.893
+Exact Sig. (1-tailed),.446
+])
+AT_CLEANUP
+
+AT_SETUP([NPAR TESTS SIGN])
+AT_DATA([npar.sps], [dnl
+set format = F9.3.
+
+data list notable list /age * height rank *.
+begin data.
+10 12 11
+12 13 13
+13 14 12
+12 12 10
+9 9 10
+10.3 10.2 12
+end data.
+
+npar tests
+ /sign=age height WITH height rank (PAIRED)
+ /MISSING ANALYSIS
+ /METHOD=EXACT
+ .
+])
+AT_CHECK([pspp -o pspp.csv npar.sps])
+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
+,,N
+age - height,Negative Differences,3
+,Positive Differences,1
+,Ties,2
+,Total,6
+height - rank,Negative Differences,2
+,Positive Differences,3
+,Ties,1
+,Total,6
+
+Table: Test Statistics
+,age - height,height - rank
+Exact Sig. (2-tailed),.625,1.000
+Exact Sig. (1-tailed),.312,.500
+Point Probability,.250,.312
+])
+AT_CLEANUP
+
+
+AT_SETUP([NPAR Kruskal-Wallis test])
+
+dnl Simple case
+AT_DATA([kw-simple.sps], [dnl
+set format = F9.3.
+
+data list notable list /gv * xscore *.
+begin data
+1 96
+1 128
+1 83
+2 132
+2 135
+2 109
+3 115
+1 61
+1 101
+2 82
+2 124
+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 (1, 3)
+ .
+])
+
+AT_CHECK([pspp -o pspp.csv -o pspp.txt kw-simple.sps])
+AT_CHECK([cat pspp.csv], [0], [dnl
+Table: Ranks
+,,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
+])
+
+
+dnl Now try a missing value in the group variable
+AT_DATA([kw-missing-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
+2.5 344
+end data.
+
+missing values gv (2.5).
+
+value label /gv
+ 1 "timed out"
+ 2 "hit wicket"
+ 3 "handled the ball".
+
+npar tests
+ /kruskal-wallis xscore by gv (1, 3)
+ /missing=exclude
+ .
+])
+
+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
+
+
+AT_SETUP([NPAR Kruskal-Wallis multiple-variables])
+
+AT_DATA([kw-multi.sps], [dnl
+set format = F9.3.
+
+data list notable list /gv * xscore * yscore.
+begin data
+1 96 .
+1 128 .
+1 83 .
+2 132 132
+2 135 135
+2 109 109
+3 115 115
+1 61 .
+1 101 .
+2 82 82
+2 124 124
+3 149 149
+3 166 166
+3 147 147
+4 . 96
+4 . 128
+4 . 83
+4 . 61
+4 . 101
+end data.
+
+value label /gv
+ 1 "timed out"
+ 2 "hit wicket"
+ 3 "handled the ball"
+ 4 "bowled"
+ 5 "lbw"
+ .
+
+npar tests
+ /k-w xscore yscore by gv (1, 5)
+ .
+
+])
+
+
+AT_CHECK([pspp -o pspp.csv kw-multi.sps])
+AT_CHECK([cat pspp.csv], [0], [dnl
+Table: Ranks
+,,N,Mean Rank
+xscore,timed out,5,4.400
+,hit wicket,5,7.400
+,handled the ball,4,11.500
+,Total,14,
+yscore,hit wicket,5,7.400
+,handled the ball,4,11.500
+,bowled,5,4.400
+,Total,14,
+
+Table: Test Statistics
+,xscore,yscore
+Chi-Square,6.406,6.406
+df,2,2
+Asymp. Sig.,.041,.041
+])
+
+AT_CLEANUP
+
+
+
+AT_SETUP([NPAR TESTS Runs])
+AT_DATA([npar-runs.sps], [dnl
+set format F11.4.
+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
+end data.
+
+weight by w.
+
+npar tests
+ /runs (MEDIAN) = score
+ /runs (MEAN) = score
+ /runs (MODE) = score
+ .
+])
+
+AT_CHECK([pspp -O format=csv npar-runs.sps], [0],
+[Table: Runs Test
+,score
+Test Value (median),3.0000
+Cases < Test Value,177.0000
+Cases ≥ Test Value,309.0000
+Total Cases,486.0000
+Number of Runs,12
+Z,-20.9931
+Asymp. Sig. (2-tailed),.000
+
+Table: Runs Test
+,score
+Test Value (mean),3.6379
+Cases < Test Value,259.0000
+Cases ≥ Test Value,227.0000
+Total Cases,486.0000
+Number of Runs,12
+Z,-21.0650
+Asymp. Sig. (2-tailed),.000
+
+Table: Runs Test
+,score
+Test Value (mode),6.0000
+Cases < Test Value,316.0000
+Cases ≥ Test Value,170.0000
+Total Cases,486.0000
+Number of Runs,11
+Z,-21.0742
+Asymp. Sig. (2-tailed),.000
+])
+
+AT_CLEANUP
+
+
+dnl Thanks to Douglas Bonett for providing this test case.
+AT_SETUP([NPAR TESTS Runs (2)])
+AT_DATA([npar-runs.sps], [dnl
+data list notable free /y.
+begin data
+1 1 2 1 2 1 1 2 1 1 1 2 1 2
+end data.
+NPAR TEST /RUNS(1.5) = y.
+])
+
+AT_CHECK([pspp -O format=csv npar-runs.sps], [0], [dnl
+Table: Runs Test
+,y
+Test Value,1.50
+Cases < Test Value,9
+Cases ≥ Test Value,5
+Total Cases,14
+Number of Runs,10
+Z,1.26
+Asymp. Sig. (2-tailed),.206
+])
+AT_CLEANUP
+
+
+AT_SETUP([NPAR TESTS Friedman])
+AT_DATA([npar-friedman.sps], [dnl
+set format F15.4.
+data list notable list /x * y * z.
+begin data
+9.5 6.5 8.1
+8.0 6.0 6.0
+7.0 6.5 4.2
+9.5 5.0 7.3
+9.0 7.0 6.2
+8.5 6.9 6.5
+7.5 8.0 6.5
+6.0 8.0 3.1
+5.0 6.0 4.9
+7.5 7.5 6.2
+end data.
+
+npar tests
+ /friedman = x y z.
+])
+
+AT_CHECK([pspp -O format=csv npar-friedman.sps], [0], [dnl
+Table: Ranks
+,Mean Rank
+x,2.6500
+y,2.1000
+z,1.2500
+
+Table: Test Statistics
+N,10
+Chi-Square,10.4737
+df,2
+Asymp. Sig.,.005
+])
+
+AT_CLEANUP
+
+
+
+AT_SETUP([NPAR TESTS Mann-Whitney])
+AT_DATA([npar-mann-whitney.sps], [dnl
+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
+1 4
+-4 5
+34 5
+21 4
+end data.
+
+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
+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)
+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
+ /cochran = v1 to v7 .
+
+])
+
+AT_CHECK([pspp -o pspp.csv npar-cochran.sps])
+
+AT_CHECK([cat pspp.csv], [0], [dnl
+Table: Frequencies
+,Value,
+,Success (2),Failure (1)
+v1,5,4
+v2,6,3
+v3,6,3
+v4,7,2
+v5,1,8
+v6,2,7
+v7,5,4
+
+Table: Test Statistics
+,Value
+N,9
+Cochran's Q,12.735
+df,6
+Asymp. Sig.,.047
+])
+
+AT_CLEANUP
+
+
+
+AT_SETUP([NPAR TESTS Kendall])
+AT_DATA([npar-kendall.sps], [dnl
+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
+ 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
+end data.
+
+npar tests
+ /kendall = all
+ .
+])
+
+AT_CHECK([pspp -o pspp.csv npar-kendall.sps])
+
+AT_CHECK([cat pspp.csv], [0], [dnl
+Table: Ranks
+,Mean Rank
+v1,2.500
+v2,1.817
+v3,1.683
+
+Table: Test Statistics
+N,30
+Kendall's W,.233
+Chi-Square,13.960
+df,2
+Asymp. Sig.,.001
+])
+
+AT_CLEANUP
+
+
+
+AT_SETUP([NPAR TESTS McNemar])
+
+AT_DATA([mcnemar.sps], [dnl
+set format = F12.3.
+data list notable list /v1 * v2 * junk *.
+begin data.
+0 0 0
+0 0 0
+0 0 0
+0 0 0
+0 1 0
+0 1 0
+0 1 0
+0 1 0
+0 1 1
+0 1 1
+0 1 1
+0 1 1
+0 1 1
+1 0 1
+1 0 1
+1 1 1
+1 1 1
+1 1 0
+1 1 0
+1 1 1
+end data.
+
+npar tests
+ /mcnemar = v1 WITH v2 junk.
+])
+
+AT_CHECK([pspp -O format=csv mcnemar.sps], [0], [dnl
+Table: v1 & v2
+v1,v2,
+,.000,1.000
+.000,4,9
+1.000,2,5
+
+Table: v1 & junk
+v1,junk,
+,.000,1.000
+.000,8,5
+1.000,2,5
+
+Table: Test Statistics
+,N,Exact Sig. (2-tailed),Exact Sig. (1-tailed),Point Probability
+v1 & v2,20,.065,.033,.027
+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
+set format F12.3.
+data list notable list /x *.
+begin data
+.554
+.382
+.329
+.480
+.711
+.503
+.203
+.477
+.621
+.581
+end data.
+
+npar tests k-s (uniform 0 1) = x.
+])
+
+AT_CHECK([pspp -O format=csv ks-uniform.sps], [0], [dnl
+Table: One-Sample Kolmogorov-Smirnov Test
+,,x
+N,,10
+Uniform Parameters,Minimum,.000
+,Maximum,1.000
+Most Extreme Differences,Absolute,.289
+,Positive,.289
+,Negative,-.229
+Kolmogorov-Smirnov Z,,.914
+Asymp. Sig. (2-tailed),,.374
+])
+
+AT_CLEANUP
+
+
+AT_SETUP([NPAR TESTS Kolmogorov-Smirnov Normal parameters imputed])
+
+AT_DATA([ks-normal.sps], [dnl
+set format = F12.3.
+
+data list notable list /foo * bar *.
+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
+48 13.0
+58 14.1
+37 15.0
+39 13.1
+58 13.2
+43 14.5
+58 13.5
+86 14.0
+63 12.5
+80 12.8
+70
+63
+53
+53
+48
+49
+51
+47
+81
+66
+78
+65
+69
+70 12.1
+63 12.5
+64 12.4
+39 13.8
+51 13.2
+68 14.0
+76 12.6
+53 12.1
+71 13.5
+47 13.8
+87 14.1
+72 12.9
+48 12.1
+75 12.8
+51 13.4
+63 13.9
+61 12.5
+61 12.4
+66 12.8
+82 12.9
+81 13.6
+46
+52
+71
+73
+58
+57
+46
+58
+52 13.5
+71 13.2
+57 12.8
+78 14.1
+73 12.1
+50 12.6
+71
+51
+51
+68
+84
+64
+66
+65
+52
+56
+70
+68
+66
+78
+65
+71
+53
+81
+53
+57
+64
+61
+43
+56
+37
+74
+66
+81
+67
+80
+68
+76
+70
+80
+42
+74
+80
+70
+60
+39
+72
+69
+63
+72
+63
+49
+53 13.2
+43 13.8
+51 12.5
+63 12.6
+64 12.9
+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
+54
+69
+65
+69
+51
+54
+82
+end data.
+
+npar tests
+ /k-s (normal) = foo bar.
+])
+
+AT_CHECK([pspp -O format=csv ks-normal.sps], [0], [dnl
+Table: One-Sample Kolmogorov-Smirnov Test
+,,foo,bar
+N,,174,48
+Normal Parameters,Mean,62.109,13.108
+,Std. Deviation,11.548,.718
+Most Extreme Differences,Absolute,.059,.115
+,Positive,.055,.115
+,Negative,-.059,-.082
+Kolmogorov-Smirnov Z,,.785,.795
+Asymp. Sig. (2-tailed),,.569,.552
+])
+
+
+AT_CLEANUP
+
+
+AT_SETUP([NPAR TESTS Median Test (median imputed)])
+
+AT_DATA([median1.sps], [dnl
+set format F12.3.
+data list notable list /ignore * animal * years * w *.
+begin data
+99 1 10 1
+99 4 1 1
+99 5 11 1
+99 5 10 1
+99 3 7 1
+99 6 10 1
+99 0 7 1
+99 3 14 1
+99 2 3 1
+99 1 1 1
+99 4 7 1
+99 5 12 1
+99 3 6 1
+99 4 1 1
+99 3 5 1
+99 5 7 1
+99 4 6 1
+99 3 14 1
+99 4 8 1
+99 5 13 1
+99 2 0 1
+99 4 7 1
+99 4 7 1
+99 1 0 1
+99 2 8 1
+99 4 10 1
+99 2 3 1
+99 2 0 1
+99 4 8 1
+99 1 8 1
+end data.
+
+
+variable label years 'Years expected'.
+variable label animal 'Animal Genus'.
+
+add value labels animal 1 'Animal 1' 2 'Animal 2' 3 'Animal 3' 4 'Animal 4' 5 'Animal 5'.
+
+npar tests
+ /median = years by animal (1, 5)
+ .
+])
+
+
+AT_CHECK([pspp -O format=csv median1.sps], [0], [dnl
+Table: Frequencies
+,,Animal Genus,,,,
+,,Animal 1,Animal 2,Animal 3,Animal 4,Animal 5
+Years expected,> Median,2,1,2,3,4
+,≤ Median,2,4,3,6,1
+
+Table: Test Statistics
+,N,Median,Chi-Square,df,Asymp. Sig.
+Years expected,28,7.000,4.317,4,.365
+])
+
+AT_CLEANUP
+
+
+AT_SETUP([NPAR TESTS Median Test (median given)])
+
+AT_DATA([median2.sps], [dnl
+set format F12.3.
+data list notable list /ignore * animal * years * w *.
+begin data
+99 1 10 1
+99 4 1 1
+99 5 11 1
+99 5 10 1
+99 3 7 1
+99 3 14 1
+99 2 3 1
+99 1 1 1
+99 4 7 1
+99 5 12 1
+99 3 6 1
+99 4 1 1
+99 3 5 1
+99 5 7 1
+99 4 6 1
+99 3 14 1
+99 4 8 1
+99 5 13 1
+99 2 0 1
+99 4 7 1
+99 4 7 1
+99 1 0 1
+99 2 8 1
+99 4 10 1
+99 2 3 1
+99 2 0 1
+99 4 8 1
+99 1 8 1
+end data.
+
+
+variable label years 'Years expected'.
+variable label animal 'Animal Genus'.
+
+add value labels animal 1 'Animal 1' 2 'Animal 2' 3 'Animal 3' 4 'Animal 4' 5 'Animal 5'.
+
+npar tests
+ /median (7) = years by animal (1, 5)
+ .
+])
+
+
+AT_CHECK([pspp -O format=csv median2.sps], [0], [dnl
+Table: Frequencies
+,,Animal Genus,,,,
+,,Animal 1,Animal 2,Animal 3,Animal 4,Animal 5
+Years expected,> Median,2,1,2,3,4
+,≤ Median,2,4,3,6,1
+
+Table: Test Statistics
+,N,Median,Chi-Square,df,Asymp. Sig.
+Years expected,28,7.000,4.317,4,.365
+])
+
+AT_CLEANUP
+
+
+AT_SETUP([NPAR TESTS Median Test (two sample)])
+
+AT_DATA([median3.sps], [dnl
+set format F12.3.
+data list notable list /xx * animal * years * w *.
+begin data
+99 1 10 1
+99 4 1 1
+99 5 11 1
+99 5 10 1
+99 3 7 1
+99 3 14 1
+99 2 3 1
+99 1 1 1
+99 4 7 1
+99 5 12 1
+99 3 6 1
+99 4 1 1
+99 3 5 1
+99 5 7 1
+99 4 6 1
+99 3 14 1
+99 4 8 1
+99 5 13 1
+99 2 0 1
+99 4 7 1
+99 4 7 1
+99 1 0 1
+99 2 8 1
+99 4 10 1
+99 2 3 1
+99 2 0 1
+99 4 8 1
+99 1 8 1
+end data.
+
+
+variable label years 'Years expected'.
+variable label animal 'Animal Genus'.
+
+add value labels animal 1 'Animal 1' 2 'Animal 2' 3 'Animal 3' 4 'Animal 4' 5 'Animal 5'.
+
+npar tests
+ /median (7) = xx years by animal (5, 1)
+ .
+])
+
+
+AT_CHECK([pspp -O format=csv median3.sps], [0], [dnl
+Table: Frequencies
+,,Animal Genus,
+,,Animal 1,Animal 5
+xx,> Median,4,5
+,≤ Median,0,0
+Years expected,> Median,2,4
+,≤ Median,2,1
+
+Table: Test Statistics
+,N,Median,Chi-Square,df,Asymp. Sig.
+xx,9,7.000,NaN,1,NaN
+Years expected,9,7.000,.900,1,.343
+])
+
+AT_CLEANUP
+
+
+AT_SETUP([NPAR TESTS Jonckheere-Terpstra])
+
+AT_DATA([jt.sps], [dnl
+set format = F12.3.
+data list notable list /x * g * w *.
+begin data.
+52 2 2
+58 2 1
+60 2 1
+62 2 1
+58 0 1
+44 2 1
+46 2 1
+14 3 1
+32 2 1
+16 3 1
+56 2 1
+26 3 1
+40 3 2
+50 4 1
+6 5 1
+34 2 3
+36 2 2
+40 2 2
+50 2 1
+end data.
+
+weight by w.
+
+npar test /jonckheere-terpstra = x by g (5, 2).
+])
+
+
+AT_CHECK([pspp -O format=csv jt.sps], [0], [dnl
+Table: Jonckheere-Terpstra Test
+,Number of levels in g,N,Observed J-T Statistic,Mean J-T Statistic,Std. Deviation of J-T Statistic,Std. J-T Statistic,Asymp. Sig. (2-tailed)
+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 variable appears more than once.
+AT_SETUP([NPAR TESTS (PAIRED)])
+AT_DATA([npar.sps], [dnl
+set format = F12.3.
+data list notable list /a * b * c *.
+begin data.
+1 2 4
+4 5 3
+1 2 2
+4 5 1
+end data.
+
+npar tests /wilcoxon a b with c c (paired).
+])
+
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
+Table: Ranks
+,,N,Mean Rank,Sum of Ranks
+a - c,Negative Ranks,2,2.500,5.000
+,Positive Ranks,2,2.500,5.000
+,Ties,0,,
+,Total,4,,
+b - c,Negative Ranks,1,1.500,1.500
+,Positive Ranks,2,2.250,4.500
+,Ties,1,,
+,Total,4,,
+
+Table: Test Statistics
+,a - c,b - c
+Z,.000,-.816
+Asymp. Sig. (2-tailed),1.000,.414
+])
+
+
+AT_CLEANUP
+
+
+
+AT_SETUP([NPAR TESTS CHISQUARE crash])
+dnl This syntax had been observed to crash pspp
+
+AT_DATA([npar.sps], [dnl
+data list list /x *.
+begin data.
+1
+2
+3
+4
+5
+6
+7
+8
+9
+10
+end data.
+
+* This happens to be invalid syntax. But should not crash.
+NPAR TEST
+ /CHISQUARE= x(0.098, 99.098)
+ /EXPECTED = 1.2.
+])
+
+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
+ .
+]) dnl "
+
+AT_CHECK([pspp -O format=csv npar.sps], [1], [ignore])
+
+AT_CLEANUP
+
+AT_SETUP([NPAR TESTS - syntax errors])
+AT_DATA([npar.sps], [dnl
+DATA LIST LIST NOTABLE /x y z.
+NPAR TESTS COCHRAN **.
+NPAR TESTS FRIEDMAN **.
+NPAR TESTS KENDALL **.
+NPAR TESTS RUNS **.
+NPAR TESTS RUNS (**).
+NPAR TESTS RUNS (MEAN **).
+NPAR TESTS RUNS (MEAN)=**.
+NPAR TESTS CHISQUARE **.
+NPAR TESTS CHISQUARE x **.
+NPAR TESTS CHISQUARE x (**).
+NPAR TESTS CHISQUARE x (1 **).
+NPAR TESTS CHISQUARE x (1, -1).
+NPAR TESTS CHISQUARE x (1, 2 **).
+NPAR TESTS CHISQUARE x /EXPECTED **.
+NPAR TESTS CHISQUARE x /EXPECTED=1* **.
+NPAR TESTS CHISQUARE x (1,5)/EXPECTED=2.
+NPAR TESTS BINOMIAL (**).
+NPAR TESTS BINOMIAL (1 **).
+NPAR TESTS BINOMIAL (1)**.
+NPAR TESTS BINOMIAL x(**).
+NPAR TESTS BINOMIAL x(1,**).
+NPAR TESTS BINOMIAL x(1,2**).
+NPAR TESTS BINOMIAL x(1**).
+NPAR TESTS K-S **.
+NPAR TESTS K-S (**).
+NPAR TESTS K-S (NORMAL **).
+NPAR TESTS K-S (NORMAL)=**.
+NPAR TESTS J-T **.
+NPAR TESTS J-T x **.
+NPAR TESTS J-T x BY **.
+NPAR TESTS J-T x BY y **.
+NPAR TESTS J-T x BY y (**).
+NPAR TESTS J-T x BY y (1, **).
+NPAR TESTS J-T x BY y (1, 2 **).
+NPAR TESTS MCNEMAR **.
+NPAR TESTS MCNEMAR x **.
+NPAR TESTS MCNEMAR x WITH **.
+NPAR TESTS MCNEMAR x WITH y (**).
+NPAR TESTS MCNEMAR x WITH y (PAIRED **).
+NPAR TESTS MCNEMAR x WITH y z (PAIRED).
+NPAR TESTS MEDIAN (**).
+NPAR TESTS MEDIAN (1 **).
+NPAR TESTS MISSING/MISSING.
+NPAR TESTS MISSING **.
+NPAR TESTS METHOD/METHOD.
+NPAR TESTS METHOD EXACT TIMER(**).
+NPAR TESTS METHOD EXACT TIMER(5 **).
+NPAR TESTS STATISTICS **.
+NPAR TESTS ALGORITHM **.
+NPAR TESTS **.
+])
+AT_CHECK([pspp -O format=csv npar.sps], [1], [dnl
+"npar.sps:2.20-2.21: error: NPAR TESTS: Syntax error expecting variable name.
+ 2 | NPAR TESTS COCHRAN **.
+ | ^~"
+
+"npar.sps:3.21-3.22: error: NPAR TESTS: Syntax error expecting variable name.
+ 3 | NPAR TESTS FRIEDMAN **.
+ | ^~"
+
+"npar.sps:4.20-4.21: error: NPAR TESTS: Syntax error expecting variable name.
+ 4 | NPAR TESTS KENDALL **.
+ | ^~"
+
+"npar.sps:5.17-5.18: error: NPAR TESTS: Syntax error expecting `@{:@'.
+ 5 | NPAR TESTS RUNS **.
+ | ^~"
+
+"npar.sps:6.18-6.19: error: NPAR TESTS: Syntax error expecting MEAN, MEDIAN, MODE or a number.
+ 6 | NPAR TESTS RUNS (**).
+ | ^~"
+
+"npar.sps:7.23-7.24: error: NPAR TESTS: Syntax error expecting `@:}@='.
+ 7 | NPAR TESTS RUNS (MEAN **).
+ | ^~"
+
+"npar.sps:8.24-8.25: error: NPAR TESTS: Syntax error expecting variable name.
+ 8 | NPAR TESTS RUNS (MEAN)=**.
+ | ^~"
+
+"npar.sps:9.22-9.23: error: NPAR TESTS: Syntax error expecting variable name.
+ 9 | NPAR TESTS CHISQUARE **.
+ | ^~"
+
+"npar.sps:10.24-10.25: error: NPAR TESTS: Syntax error expecting `BEGIN DATA'.
+ 10 | NPAR TESTS CHISQUARE x **.
+ | ^~"
+
+"npar.sps:10.24-10.25: error: NPAR TESTS: Syntax error expecting end of command.
+ 10 | NPAR TESTS CHISQUARE x **.
+ | ^~"
+
+"npar.sps:11.25-11.26: error: NPAR TESTS: Syntax error expecting number.
+ 11 | NPAR TESTS CHISQUARE x (**).
+ | ^~"
+
+"npar.sps:12.27-12.28: error: NPAR TESTS: Syntax error expecting `,'.
+ 12 | NPAR TESTS CHISQUARE x (1 **).
+ | ^~"
+
+"npar.sps:13.28-13.29: error: NPAR TESTS: Syntax error expecting number greater than 1 for HI.
+ 13 | NPAR TESTS CHISQUARE x (1, -1).
+ | ^~"
+
+"npar.sps:14.30-14.31: error: NPAR TESTS: Syntax error expecting `@:}@'.
+ 14 | NPAR TESTS CHISQUARE x (1, 2 **).
+ | ^~"
+
+"npar.sps:15.34-15.35: error: NPAR TESTS: Syntax error expecting `='.
+ 15 | NPAR TESTS CHISQUARE x /EXPECTED **.
+ | ^~"
+
+"npar.sps:16.37-16.38: error: NPAR TESTS: Syntax error expecting number.
+ 16 | NPAR TESTS CHISQUARE x /EXPECTED=1* **.
+ | ^~"
+
+"npar.sps:17.39: error: NPAR TESTS: 1 expected values were given, but the specified range (1-5) requires exactly 5 values.
+ 17 | NPAR TESTS CHISQUARE x (1,5)/EXPECTED=2.
+ | ^"
+
+"npar.sps:18.22-18.23: error: NPAR TESTS: Syntax error expecting number.
+ 18 | NPAR TESTS BINOMIAL (**).
+ | ^~"
+
+"npar.sps:19.24-19.25: error: NPAR TESTS: Syntax error expecting `@:}@'.
+ 19 | NPAR TESTS BINOMIAL (1 **).
+ | ^~"
+
+"npar.sps:20.24-20.25: error: NPAR TESTS: Syntax error expecting `='.
+ 20 | NPAR TESTS BINOMIAL (1)**.
+ | ^~"
+
+"npar.sps:21.23-21.24: error: NPAR TESTS: Syntax error expecting number.
+ 21 | NPAR TESTS BINOMIAL x(**).
+ | ^~"
+
+"npar.sps:22.25-22.26: error: NPAR TESTS: Syntax error expecting number.
+ 22 | NPAR TESTS BINOMIAL x(1,**).
+ | ^~"
+
+"npar.sps:23.26-23.27: error: NPAR TESTS: Syntax error expecting `@:}@'.
+ 23 | NPAR TESTS BINOMIAL x(1,2**).
+ | ^~"
+
+"npar.sps:24.24-24.25: error: NPAR TESTS: Syntax error expecting `@:}@'.
+ 24 | NPAR TESTS BINOMIAL x(1**).
+ | ^~"
+
+"npar.sps:25.16-25.17: error: NPAR TESTS: Syntax error expecting `@{:@'.
+ 25 | NPAR TESTS K-S **.
+ | ^~"
+
+"npar.sps:26.17-26.18: error: NPAR TESTS: Syntax error expecting NORMAL, POISSON, UNIFORM, or EXPONENTIAL.
+ 26 | NPAR TESTS K-S (**).
+ | ^~"
+
+"npar.sps:27.24-27.25: error: NPAR TESTS: Syntax error expecting `@:}@'.
+ 27 | NPAR TESTS K-S (NORMAL **).
+ | ^~"
+
+"npar.sps:28.25-28.26: error: NPAR TESTS: Syntax error expecting variable name.
+ 28 | NPAR TESTS K-S (NORMAL)=**.
+ | ^~"
+
+"npar.sps:29.16-29.17: error: NPAR TESTS: Syntax error expecting variable name.
+ 29 | NPAR TESTS J-T **.
+ | ^~"
+
+"npar.sps:30.18-30.19: error: NPAR TESTS: Syntax error expecting `BY'.
+ 30 | NPAR TESTS J-T x **.
+ | ^~"
+
+"npar.sps:31.21-31.22: error: NPAR TESTS: Syntax error expecting variable name.
+ 31 | NPAR TESTS J-T x BY **.
+ | ^~"
+
+"npar.sps:32.23-32.24: error: NPAR TESTS: Syntax error expecting `@{:@'.
+ 32 | NPAR TESTS J-T x BY y **.
+ | ^~"
+
+"npar.sps:33.24-33.25: error: NPAR TESTS: Syntax error expecting number.
+ 33 | NPAR TESTS J-T x BY y (**).
+ | ^~"
+
+"npar.sps:34.27-34.28: error: NPAR TESTS: Syntax error expecting number.
+ 34 | NPAR TESTS J-T x BY y (1, **).
+ | ^~"
+
+"npar.sps:35.29-35.30: error: NPAR TESTS: Syntax error expecting `@:}@'.
+ 35 | NPAR TESTS J-T x BY y (1, 2 **).
+ | ^~"
+
+"npar.sps:36.20-36.21: error: NPAR TESTS: Syntax error expecting variable name.
+ 36 | NPAR TESTS MCNEMAR **.
+ | ^~"
+
+"npar.sps:37.22-37.23: error: NPAR TESTS: Syntax error expecting end of command.
+ 37 | NPAR TESTS MCNEMAR x **.
+ | ^~"
+
+"npar.sps:38.27-38.28: error: NPAR TESTS: Syntax error expecting variable name.
+ 38 | NPAR TESTS MCNEMAR x WITH **.
+ | ^~"
+
+"npar.sps:39.30-39.31: error: NPAR TESTS: Syntax error expecting `PAIRED@:}@'.
+ 39 | NPAR TESTS MCNEMAR x WITH y (**).
+ | ^~"
+
+"npar.sps:40.30-40.38: error: NPAR TESTS: Syntax error expecting `PAIRED)'.
+ 40 | NPAR TESTS MCNEMAR x WITH y (PAIRED **).
+ | ^~~~~~~~~"
+
+"npar.sps:41.20-41.29: error: NPAR TESTS: PAIRED was specified, but the number of variables preceding WITH (1) does not match the number following (2).
+ 41 | NPAR TESTS MCNEMAR x WITH y z (PAIRED).
+ | ^~~~~~~~~~"
+
+"npar.sps:42.20-42.21: error: NPAR TESTS: Syntax error expecting number.
+ 42 | NPAR TESTS MEDIAN (**).
+ | ^~"
+
+"npar.sps:43.22-43.23: error: NPAR TESTS: Syntax error expecting `@:}@'.
+ 43 | NPAR TESTS MEDIAN (1 **).
+ | ^~"
+
+"npar.sps:44.20-44.26: error: NPAR TESTS: Subcommand MISSING may only be specified once.
+ 44 | NPAR TESTS MISSING/MISSING.
+ | ^~~~~~~"
+
+"npar.sps:45.20-45.21: error: NPAR TESTS: Syntax error expecting ANALYSIS, LISTWISE, INCLUDE, or EXCLUDE.
+ 45 | NPAR TESTS MISSING **.
+ | ^~"
+
+"npar.sps:46.19-46.24: error: NPAR TESTS: Subcommand METHOD may only be specified once.
+ 46 | NPAR TESTS METHOD/METHOD.
+ | ^~~~~~"
+
+"npar.sps:47.31-47.32: error: NPAR TESTS: Syntax error expecting number.
+ 47 | NPAR TESTS METHOD EXACT TIMER(**).
+ | ^~"
+
+"npar.sps:48.33-48.34: error: NPAR TESTS: Syntax error expecting `@:}@'.
+ 48 | NPAR TESTS METHOD EXACT TIMER(5 **).
+ | ^~"
+
+"npar.sps:49.23-49.24: error: NPAR TESTS: Syntax error expecting DESCRIPTIVES, QUARTILES, or ALL.
+ 49 | NPAR TESTS STATISTICS **.
+ | ^~"
+
+"npar.sps:50.22-50.23: error: NPAR TESTS: Syntax error expecting COMPATIBLE or ENHANCED.
+ 50 | NPAR TESTS ALGORITHM **.
+ | ^~"
+
+"npar.sps:51.12-51.13: error: NPAR TESTS: Syntax error expecting one of the following: COCHRAN, FRIEDMAN, KENDALL, RUNS, CHISQUARE, BINOMIAL, K-S, J-T, K-W, MCNEMAR, M-W, MEDIAN, WILCOXON, SIGN, MISSING, METHOD, STATISTICS, ALGORITHM.
+ 51 | NPAR TESTS **.
+ | ^~"
+])
+AT_CLEANUP
\ No newline at end of file
projects / pspp / blobdiff