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 kw-simple.sps])
+AT_CHECK([cat pspp.csv], [0], [dnl
+Table: Ranks
+,gv,N,Mean Rank
+xscore,timed out,5,4.400
+,handled the ball,4,11.500
+,hit wicket,5,7.400
+,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])
+
+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
+,gv,N,Mean Rank
+xscore,timed out,5,4.400
+,handled the ball,4,11.500
+,hit wicket,5,7.400
+,Total,14,
+yscore,handled the ball,4,11.500
+,bowled,5,4.400
+,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,
+])
+
+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 pspp.csv npar-runs.sps])
+
+AT_CHECK([cat pspp.csv], [0], [dnl
+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),.0000
+
+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),.0000
+
+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),.0000
+])
+
+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 pspp.csv npar-friedman.sps])
+
+AT_CHECK([cat pspp.csv], [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.,.0053
+])
+
+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
+end data.
+
+NPAR TESTS
+ /M-W = height BY sex (0,1).
+])
+
+AT_CHECK([pspp -o pspp.csv npar-mann-whitney.sps])
+
+AT_CHECK([cat pspp.csv], [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
+
+Table: Test Statistics
+,Mann-Whitney U,Wilcoxon W,Z,Asymp. Sig. (2-tailed)
+height,98.0000,218.0000,-.6020,.5472
+])
+
+
+AT_CLEANUP