])
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
+,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
+,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
+,x,y
+Chi-Square,3.14,6.00
+df,5,3
+Asymp. Sig.,.68,.11
+
+Table: y
+,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
+,y
+Chi-Square,10.61
+df,3
+Asymp. Sig.,.01
+
+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
+,x,y
+Chi-Square,.13,4.13
+df,2,2
+Asymp. Sig.,.94,.13
+])
+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 4 distinct values were encountered in variable y."
+
+Table: Test Statistics
+,y
+Chi-Square,.00
+df,0
+Asymp. Sig.,1.00
+])
+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
+,x,y
+Chi-Square,17.33,22.87
+df,7,7
+Asymp. Sig.,.02,.00
+
+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
+,x,y
+Chi-Square,13.43,26.00
+df,7,7
+Asymp. Sig.,.06,.00
+
+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