Implemented the McNemar test. Closes bug #33242
[pspp-builds.git] / tests / language / stats / descriptives.at
1 AT_BANNER([DESCRIPTIVES procedure])
2
3 AT_SETUP([DESCRIPTIVES basics])
4 AT_DATA([descriptives.sps],
5   [title 'Test DESCRIPTIVES procedure'.
6
7 data list / V0 to V16 1-17.
8 begin data.
9 12128989012389023
10 34128080123890128
11 56127781237893217
12 78127378123793112
13 90913781237892318
14 37978547878935789
15 52878237892378279
16 12377912789378932
17 26787654347894348
18 29137178947891888
19 end data.
20
21 descript all/stat=all/format=serial.
22 ])
23 AT_CHECK([pspp -O format=csv descriptives.sps], [0],
24   [Title: Test DESCRIPTIVES procedure
25
26 Table: Reading 1 record from INLINE.
27 Variable,Record,Columns,Format
28 V0,1,1-  1,F1.0
29 V1,1,2-  2,F1.0
30 V2,1,3-  3,F1.0
31 V3,1,4-  4,F1.0
32 V4,1,5-  5,F1.0
33 V5,1,6-  6,F1.0
34 V6,1,7-  7,F1.0
35 V7,1,8-  8,F1.0
36 V8,1,9-  9,F1.0
37 V9,1,10- 10,F1.0
38 V10,1,11- 11,F1.0
39 V11,1,12- 12,F1.0
40 V12,1,13- 13,F1.0
41 V13,1,14- 14,F1.0
42 V14,1,15- 15,F1.0
43 V15,1,16- 16,F1.0
44 V16,1,17- 17,F1.0
45
46 Table: Valid cases = 10; cases with missing value(s) = 0.
47 Variable,Valid N,Missing N,Mean,S.E. Mean,Std Dev,Variance,Kurtosis,S.E. Kurt,Skewness,S.E. Skew,Range,Minimum,Maximum,Sum
48 V0,10,0,3.80,.84,2.66,7.07,-.03,1.33,.89,.69,8.00,1.00,9.00,38.00
49 V1,10,0,4.60,.96,3.03,9.16,-1.39,1.33,-.03,.69,9.00,.00,9.00,46.00
50 V2,10,0,4.10,1.16,3.67,13.43,-2.02,1.33,.48,.69,8.00,1.00,9.00,41.00
51 V3,10,0,4.10,.87,2.77,7.66,-2.05,1.33,.42,.69,7.00,1.00,8.00,41.00
52 V4,10,0,7.00,.47,1.49,2.22,7.15,1.33,-2.52,.69,5.00,3.00,8.00,70.00
53 V5,10,0,4.90,1.03,3.25,10.54,-1.40,1.33,-.20,.69,9.00,.00,9.00,49.00
54 V6,10,0,5.90,.80,2.51,6.32,-.29,1.33,-.96,.69,7.00,1.00,8.00,59.00
55 V7,10,0,4.70,1.10,3.47,12.01,-1.99,1.33,-.16,.69,9.00,.00,9.00,47.00
56 V8,10,0,4.10,1.10,3.48,12.10,-1.93,1.33,.37,.69,9.00,.00,9.00,41.00
57 V9,10,0,4.30,.87,2.75,7.57,-.87,1.33,.73,.69,8.00,1.00,9.00,43.00
58 V10,10,0,5.50,.85,2.68,7.17,-1.84,1.33,-.33,.69,7.00,2.00,9.00,55.00
59 V11,10,0,6.50,.78,2.46,6.06,-1.28,1.33,-.89,.69,6.00,3.00,9.00,65.00
60 V12,10,0,7.90,.60,1.91,3.66,5.24,1.33,-2.21,.69,6.00,3.00,9.00,79.00
61 V13,10,0,4.30,.99,3.13,9.79,-1.25,1.33,.33,.69,9.00,.00,9.00,43.00
62 V14,10,0,3.60,1.01,3.20,10.27,-.96,1.33,.81,.69,9.00,.00,9.00,36.00
63 V15,10,0,3.70,.92,2.91,8.46,-1.35,1.33,.71,.69,7.00,1.00,8.00,37.00
64 V16,10,0,6.40,.91,2.88,8.27,-1.14,1.33,-.92,.69,7.00,2.00,9.00,64.00
65 ])
66 AT_CLEANUP
67
68 m4_define([DESCRIPTIVES_MISSING_DATA],
69   [data list notable / V1 TO V3 1-3.
70 mis val v1 to v3 (1).
71 begin data.
72 111
73    
74  1 
75 1 1
76 112
77 123
78 234
79 end data.
80 ])
81
82 AT_SETUP([DESCRIPTIVES -- excluding missing data])
83 AT_DATA([descriptives.sps],
84   [DESCRIPTIVES_MISSING_DATA
85 descript all/stat=all/format=serial.
86 ])
87 AT_CHECK([pspp -O format=csv descriptives.sps], [0],
88   [Table: Valid cases = 7; cases with missing value(s) = 6.
89 Variable,Valid N,Missing N,Mean,S.E. Mean,Std Dev,Variance,Kurtosis,S.E. Kurt,Skewness,S.E. Skew,Range,Minimum,Maximum,Sum
90 V1,1,6,2.00,.  ,.  ,.  ,.  ,.  ,.  ,.  ,.00,2.00,2.00,2.00
91 V2,2,5,2.50,.50,.71,.50,.  ,.  ,.  ,.  ,1.00,2.00,3.00,5.00
92 V3,3,4,3.00,.58,1.00,1.00,.  ,.  ,.00,1.22,2.00,2.00,4.00,9.00
93 ])
94 AT_CLEANUP
95
96 AT_SETUP([DESCRIPTIVES -- including missing data])
97 AT_DATA([descriptives.sps],
98   [DESCRIPTIVES_MISSING_DATA
99 descript all/stat=all/format=serial/missing=include.
100 ])
101 AT_CHECK([pspp -O format=csv descriptives.sps], [0],
102   [Table: Valid cases = 7; cases with missing value(s) = 3.
103 Variable,Valid N,Missing N,Mean,S.E. Mean,Std Dev,Variance,Kurtosis,S.E. Kurt,Skewness,S.E. Skew,Range,Minimum,Maximum,Sum
104 V1,5,2,1.20,.20,.45,.20,5.00,2.00,2.24,.91,1.00,1.00,2.00,6.00
105 V2,5,2,1.60,.40,.89,.80,.31,2.00,1.26,.91,2.00,1.00,3.00,8.00
106 V3,5,2,2.20,.58,1.30,1.70,-1.49,2.00,.54,.91,3.00,1.00,4.00,11.00
107 ])
108 AT_CLEANUP
109
110 AT_SETUP([DESCRIPTIVES -- excluding missing data listwise])
111 AT_DATA([descriptives.sps],
112   [DESCRIPTIVES_MISSING_DATA
113 descript all/stat=all/format=serial/missing=listwise.
114 ])
115 AT_CHECK([pspp -O format=csv descriptives.sps], [0],
116   [Table: Valid cases = 1; cases with missing value(s) = 6.
117 Variable,Valid N,Missing N,Mean,S.E. Mean,Std Dev,Variance,Kurtosis,S.E. Kurt,Skewness,S.E. Skew,Range,Minimum,Maximum,Sum
118 V1,1,0,2.00,.  ,.  ,.  ,.  ,.  ,.  ,.  ,.00,2.00,2.00,2.00
119 V2,1,0,3.00,.  ,.  ,.  ,.  ,.  ,.  ,.  ,.00,3.00,3.00,3.00
120 V3,1,0,4.00,.  ,.  ,.  ,.  ,.  ,.  ,.  ,.00,4.00,4.00,4.00
121 ])
122 AT_CLEANUP
123
124 AT_SETUP([DESCRIPTIVES -- including missing data listwise])
125 AT_DATA([descriptives.sps],
126   [DESCRIPTIVES_MISSING_DATA
127 descript all/stat=all/format=serial/missing=listwise include.
128 ])
129 AT_CHECK([pspp -O format=csv descriptives.sps], [0],
130   [Table: Valid cases = 4; cases with missing value(s) = 3.
131 Variable,Valid N,Missing N,Mean,S.E. Mean,Std Dev,Variance,Kurtosis,S.E. Kurt,Skewness,S.E. Skew,Range,Minimum,Maximum,Sum
132 V1,4,0,1.25,.25,.50,.25,4.00,2.62,2.00,1.01,1.00,1.00,2.00,5.00
133 V2,4,0,1.75,.48,.96,.92,-1.29,2.62,.85,1.01,2.00,1.00,3.00,7.00
134 V3,4,0,2.50,.65,1.29,1.67,-1.20,2.62,.00,1.01,3.00,1.00,4.00,10.00
135 ])
136 AT_CLEANUP
137
138 AT_SETUP([DESCRIPTIVES bug calculating mean only])
139 AT_DATA([descriptives.sps],
140   [SET FORMAT F8.3.
141
142 data list notable / X 1.
143 begin data.
144 0
145 1
146 2
147 3
148 4
149 5
150 end data.
151
152 descript all/stat=mean.
153 ])
154 AT_CHECK([pspp -O format=csv descriptives.sps], [0],
155   [Table: Valid cases = 6; cases with missing value(s) = 0.
156 Variable,N,Mean
157 X,6,2.500
158 ])
159 AT_CLEANUP
160
161 dnl Git history shows that this was probably a bug in the PSPP
162 dnl core regarding multipass procedures, not anything specific
163 dnl to DESCRIPTIVES.
164 AT_SETUP([DESCRIPTIVES bug with TEMPORARY])
165 AT_DATA([descriptives.sps], [dnl
166 DATA LIST LIST NOTABLE /id * abc *.
167 BEGIN DATA.
168 1 3.5
169 2 2.0
170 3 2.0
171 4 3.5
172 5 3.0
173 6 4.0
174 7 5.0
175 END DATA.
176
177 TEMPORARY.
178 SELECT IF id < 7 .
179
180 DESCRIPTIVES /VAR=abc.
181 ])
182 AT_CHECK([pspp -O format=csv descriptives.sps], [0], [dnl
183 Table: Valid cases = 6; cases with missing value(s) = 0.
184 Variable,N,Mean,Std Dev,Minimum,Maximum
185 abc,6,3.00,.84,2.00,4.00
186 ])
187 AT_CLEANUP