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|
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([FACTOR procedure])
AT_SETUP([FACTOR extraction=paf method=correlation])
dnl This example is based on data from http://www.ats.ucla.edu/stat/Spss/output/factor1.htm
AT_DATA([factor.sps],
[set format = F11.3.
data list notable fixed /question13 to question24 1-12.
begin data.
555555535543
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554455454455
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455454434454
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555555534454
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555451234443
555444444544
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411111111111
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555454425444
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555545444444
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555555544554
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555544433244
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555555544444
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555553444344
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444443344434
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555554443443
322232403322
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555455544454
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555454544554
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555554443455
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555554534444
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443443444433
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545455553544
554455554443
555555555533
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555554545555
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555444444455
244333332222
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end data.
missing values
question13 question14 question15 question16 question17 question18 question19 question20 question21 question22 question23 question24 (0).
factor
/variables question13 question14 question15 question16 question17 question18 question19 question20 question21 question22 question23 question24
/analysis all
/print univariate det correlation
/format blank(.30)
/plot eigen
/criteria factors(3)
/extraction paf
/method = correlation.
])
AT_CHECK([pspp -O format=csv factor.sps], [0],
[Table: Descriptive Statistics
,Mean,Std. Deviation,Analysis N
question13,4.462,.729,1365
question14,4.525,.700,1365
question15,4.445,.732,1365
question16,4.281,.829,1365
question17,4.166,.895,1365
question18,3.930,1.034,1365
question19,4.077,.963,1365
question20,3.777,.909,1365
question21,3.774,.984,1365
question22,3.607,1.116,1365
question23,3.813,.957,1365
question24,3.666,.926,1365
Table: Correlation Matrix
,,question13,question14,question15,question16,question17,question18,question19,question20,question21,question22,question23,question24
Correlation,question13,1.000,.661,.600,.566,.577,.409,.286,.304,.476,.333,.564,.454
,question14,.661,1.000,.635,.500,.552,.433,.320,.315,.449,.333,.565,.443
,question15,.600,.635,1.000,.505,.587,.457,.359,.356,.509,.369,.582,.435
,question16,.566,.500,.505,1.000,.586,.405,.335,.317,.452,.363,.459,.430
,question17,.577,.552,.587,.586,1.000,.555,.449,.417,.595,.450,.613,.521
,question18,.409,.433,.457,.405,.555,1.000,.627,.521,.554,.536,.569,.474
,question19,.286,.320,.359,.335,.449,.627,1.000,.446,.499,.484,.444,.374
,question20,.304,.315,.356,.317,.417,.521,.446,1.000,.425,.383,.410,.357
,question21,.476,.449,.509,.452,.595,.554,.499,.425,1.000,.507,.598,.500
,question22,.333,.333,.369,.363,.450,.536,.484,.383,.507,1.000,.493,.444
,question23,.564,.565,.582,.459,.613,.569,.444,.410,.598,.493,1.000,.705
,question24,.454,.443,.435,.430,.521,.474,.374,.357,.500,.444,.705,1.000
Caption: Determinant: 0.00
Table: Factor Matrix
,Factor,,
,1,2,3
question13,.713,.398,
question14,.703,.339,
question15,.721,,
question16,.648,,
question17,.783,,
question18,.740,-.345,
question19,.616,-.415,
question20,.550,,
question21,.732,,
question22,.613,,
question23,.819,,.345
question24,.695,,.386
Table: Rotated Factor Matrix
,Factor,,
,1,2,3
question13,.771,,
question14,.726,,
question15,.676,,
question16,.591,,
question17,.587,.446,
question18,,.739,
question19,,.727,
question20,,.540,
question21,.402,.533,.321
question22,,.559,
question23,.449,.377,.668
question24,.324,.321,.652
])
AT_CLEANUP
AT_SETUP([FACTOR extraction=pc method=correlation])
dnl This example is from http://www.ats.ucla.edu/stat/spss/whatstat/whatstat.htm
AT_DATA([factor2.sps],
[set format = F11.3.
data list notable list /id female race ses schtyp prog read write math science socst.
begin data.
70.00 .00 4.00 1.00 1.00 1.00 57.00 52.00 41.00 47.00 57.00
121.00 1.00 4.00 2.00 1.00 3.00 68.00 59.00 53.00 63.00 61.00
86.00 .00 4.00 3.00 1.00 1.00 44.00 33.00 54.00 58.00 31.00
141.00 .00 4.00 3.00 1.00 3.00 63.00 44.00 47.00 53.00 56.00
172.00 .00 4.00 2.00 1.00 2.00 47.00 52.00 57.00 53.00 61.00
113.00 .00 4.00 2.00 1.00 2.00 44.00 52.00 51.00 63.00 61.00
50.00 .00 3.00 2.00 1.00 1.00 50.00 59.00 42.00 53.00 61.00
11.00 .00 1.00 2.00 1.00 2.00 34.00 46.00 45.00 39.00 36.00
84.00 .00 4.00 2.00 1.00 1.00 63.00 57.00 54.00 58.00 51.00
48.00 .00 3.00 2.00 1.00 2.00 57.00 55.00 52.00 50.00 51.00
75.00 .00 4.00 2.00 1.00 3.00 60.00 46.00 51.00 53.00 61.00
60.00 .00 4.00 2.00 1.00 2.00 57.00 65.00 51.00 63.00 61.00
95.00 .00 4.00 3.00 1.00 2.00 73.00 60.00 71.00 61.00 71.00
104.00 .00 4.00 3.00 1.00 2.00 54.00 63.00 57.00 55.00 46.00
38.00 .00 3.00 1.00 1.00 2.00 45.00 57.00 50.00 31.00 56.00
115.00 .00 4.00 1.00 1.00 1.00 42.00 49.00 43.00 50.00 56.00
76.00 .00 4.00 3.00 1.00 2.00 47.00 52.00 51.00 50.00 56.00
195.00 .00 4.00 2.00 2.00 1.00 57.00 57.00 60.00 58.00 56.00
114.00 .00 4.00 3.00 1.00 2.00 68.00 65.00 62.00 55.00 61.00
85.00 .00 4.00 2.00 1.00 1.00 55.00 39.00 57.00 53.00 46.00
167.00 .00 4.00 2.00 1.00 1.00 63.00 49.00 35.00 66.00 41.00
143.00 .00 4.00 2.00 1.00 3.00 63.00 63.00 75.00 72.00 66.00
41.00 .00 3.00 2.00 1.00 2.00 50.00 40.00 45.00 55.00 56.00
20.00 .00 1.00 3.00 1.00 2.00 60.00 52.00 57.00 61.00 61.00
12.00 .00 1.00 2.00 1.00 3.00 37.00 44.00 45.00 39.00 46.00
53.00 .00 3.00 2.00 1.00 3.00 34.00 37.00 46.00 39.00 31.00
154.00 .00 4.00 3.00 1.00 2.00 65.00 65.00 66.00 61.00 66.00
178.00 .00 4.00 2.00 2.00 3.00 47.00 57.00 57.00 58.00 46.00
196.00 .00 4.00 3.00 2.00 2.00 44.00 38.00 49.00 39.00 46.00
29.00 .00 2.00 1.00 1.00 1.00 52.00 44.00 49.00 55.00 41.00
126.00 .00 4.00 2.00 1.00 1.00 42.00 31.00 57.00 47.00 51.00
103.00 .00 4.00 3.00 1.00 2.00 76.00 52.00 64.00 64.00 61.00
192.00 .00 4.00 3.00 2.00 2.00 65.00 67.00 63.00 66.00 71.00
150.00 .00 4.00 2.00 1.00 3.00 42.00 41.00 57.00 72.00 31.00
199.00 .00 4.00 3.00 2.00 2.00 52.00 59.00 50.00 61.00 61.00
144.00 .00 4.00 3.00 1.00 1.00 60.00 65.00 58.00 61.00 66.00
200.00 .00 4.00 2.00 2.00 2.00 68.00 54.00 75.00 66.00 66.00
80.00 .00 4.00 3.00 1.00 2.00 65.00 62.00 68.00 66.00 66.00
16.00 .00 1.00 1.00 1.00 3.00 47.00 31.00 44.00 36.00 36.00
153.00 .00 4.00 2.00 1.00 3.00 39.00 31.00 40.00 39.00 51.00
176.00 .00 4.00 2.00 2.00 2.00 47.00 47.00 41.00 42.00 51.00
177.00 .00 4.00 2.00 2.00 2.00 55.00 59.00 62.00 58.00 51.00
168.00 .00 4.00 2.00 1.00 2.00 52.00 54.00 57.00 55.00 51.00
40.00 .00 3.00 1.00 1.00 1.00 42.00 41.00 43.00 50.00 41.00
62.00 .00 4.00 3.00 1.00 1.00 65.00 65.00 48.00 63.00 66.00
169.00 .00 4.00 1.00 1.00 1.00 55.00 59.00 63.00 69.00 46.00
49.00 .00 3.00 3.00 1.00 3.00 50.00 40.00 39.00 49.00 47.00
136.00 .00 4.00 2.00 1.00 2.00 65.00 59.00 70.00 63.00 51.00
189.00 .00 4.00 2.00 2.00 2.00 47.00 59.00 63.00 53.00 46.00
7.00 .00 1.00 2.00 1.00 2.00 57.00 54.00 59.00 47.00 51.00
27.00 .00 2.00 2.00 1.00 2.00 53.00 61.00 61.00 57.00 56.00
128.00 .00 4.00 3.00 1.00 2.00 39.00 33.00 38.00 47.00 41.00
21.00 .00 1.00 2.00 1.00 1.00 44.00 44.00 61.00 50.00 46.00
183.00 .00 4.00 2.00 2.00 2.00 63.00 59.00 49.00 55.00 71.00
132.00 .00 4.00 2.00 1.00 2.00 73.00 62.00 73.00 69.00 66.00
15.00 .00 1.00 3.00 1.00 3.00 39.00 39.00 44.00 26.00 42.00
67.00 .00 4.00 1.00 1.00 3.00 37.00 37.00 42.00 33.00 32.00
22.00 .00 1.00 2.00 1.00 3.00 42.00 39.00 39.00 56.00 46.00
185.00 .00 4.00 2.00 2.00 2.00 63.00 57.00 55.00 58.00 41.00
9.00 .00 1.00 2.00 1.00 3.00 48.00 49.00 52.00 44.00 51.00
181.00 .00 4.00 2.00 2.00 2.00 50.00 46.00 45.00 58.00 61.00
170.00 .00 4.00 3.00 1.00 2.00 47.00 62.00 61.00 69.00 66.00
134.00 .00 4.00 1.00 1.00 1.00 44.00 44.00 39.00 34.00 46.00
108.00 .00 4.00 2.00 1.00 1.00 34.00 33.00 41.00 36.00 36.00
197.00 .00 4.00 3.00 2.00 2.00 50.00 42.00 50.00 36.00 61.00
140.00 .00 4.00 2.00 1.00 3.00 44.00 41.00 40.00 50.00 26.00
171.00 .00 4.00 2.00 1.00 2.00 60.00 54.00 60.00 55.00 66.00
107.00 .00 4.00 1.00 1.00 3.00 47.00 39.00 47.00 42.00 26.00
81.00 .00 4.00 1.00 1.00 2.00 63.00 43.00 59.00 65.00 44.00
18.00 .00 1.00 2.00 1.00 3.00 50.00 33.00 49.00 44.00 36.00
155.00 .00 4.00 2.00 1.00 1.00 44.00 44.00 46.00 39.00 51.00
97.00 .00 4.00 3.00 1.00 2.00 60.00 54.00 58.00 58.00 61.00
68.00 .00 4.00 2.00 1.00 2.00 73.00 67.00 71.00 63.00 66.00
157.00 .00 4.00 2.00 1.00 1.00 68.00 59.00 58.00 74.00 66.00
56.00 .00 4.00 2.00 1.00 3.00 55.00 45.00 46.00 58.00 51.00
5.00 .00 1.00 1.00 1.00 2.00 47.00 40.00 43.00 45.00 31.00
159.00 .00 4.00 3.00 1.00 2.00 55.00 61.00 54.00 49.00 61.00
123.00 .00 4.00 3.00 1.00 1.00 68.00 59.00 56.00 63.00 66.00
164.00 .00 4.00 2.00 1.00 3.00 31.00 36.00 46.00 39.00 46.00
14.00 .00 1.00 3.00 1.00 2.00 47.00 41.00 54.00 42.00 56.00
127.00 .00 4.00 3.00 1.00 2.00 63.00 59.00 57.00 55.00 56.00
165.00 .00 4.00 1.00 1.00 3.00 36.00 49.00 54.00 61.00 36.00
174.00 .00 4.00 2.00 2.00 2.00 68.00 59.00 71.00 66.00 56.00
3.00 .00 1.00 1.00 1.00 2.00 63.00 65.00 48.00 63.00 56.00
58.00 .00 4.00 2.00 1.00 3.00 55.00 41.00 40.00 44.00 41.00
146.00 .00 4.00 3.00 1.00 2.00 55.00 62.00 64.00 63.00 66.00
102.00 .00 4.00 3.00 1.00 2.00 52.00 41.00 51.00 53.00 56.00
117.00 .00 4.00 3.00 1.00 3.00 34.00 49.00 39.00 42.00 56.00
133.00 .00 4.00 2.00 1.00 3.00 50.00 31.00 40.00 34.00 31.00
94.00 .00 4.00 3.00 1.00 2.00 55.00 49.00 61.00 61.00 56.00
24.00 .00 2.00 2.00 1.00 2.00 52.00 62.00 66.00 47.00 46.00
149.00 .00 4.00 1.00 1.00 1.00 63.00 49.00 49.00 66.00 46.00
82.00 1.00 4.00 3.00 1.00 2.00 68.00 62.00 65.00 69.00 61.00
8.00 1.00 1.00 1.00 1.00 2.00 39.00 44.00 52.00 44.00 48.00
129.00 1.00 4.00 1.00 1.00 1.00 44.00 44.00 46.00 47.00 51.00
173.00 1.00 4.00 1.00 1.00 1.00 50.00 62.00 61.00 63.00 51.00
57.00 1.00 4.00 2.00 1.00 2.00 71.00 65.00 72.00 66.00 56.00
100.00 1.00 4.00 3.00 1.00 2.00 63.00 65.00 71.00 69.00 71.00
1.00 1.00 1.00 1.00 1.00 3.00 34.00 44.00 40.00 39.00 41.00
194.00 1.00 4.00 3.00 2.00 2.00 63.00 63.00 69.00 61.00 61.00
88.00 1.00 4.00 3.00 1.00 2.00 68.00 60.00 64.00 69.00 66.00
99.00 1.00 4.00 3.00 1.00 1.00 47.00 59.00 56.00 66.00 61.00
47.00 1.00 3.00 1.00 1.00 2.00 47.00 46.00 49.00 33.00 41.00
120.00 1.00 4.00 3.00 1.00 2.00 63.00 52.00 54.00 50.00 51.00
166.00 1.00 4.00 2.00 1.00 2.00 52.00 59.00 53.00 61.00 51.00
65.00 1.00 4.00 2.00 1.00 2.00 55.00 54.00 66.00 42.00 56.00
101.00 1.00 4.00 3.00 1.00 2.00 60.00 62.00 67.00 50.00 56.00
89.00 1.00 4.00 1.00 1.00 3.00 35.00 35.00 40.00 51.00 33.00
54.00 1.00 3.00 1.00 2.00 1.00 47.00 54.00 46.00 50.00 56.00
180.00 1.00 4.00 3.00 2.00 2.00 71.00 65.00 69.00 58.00 71.00
162.00 1.00 4.00 2.00 1.00 3.00 57.00 52.00 40.00 61.00 56.00
4.00 1.00 1.00 1.00 1.00 2.00 44.00 50.00 41.00 39.00 51.00
131.00 1.00 4.00 3.00 1.00 2.00 65.00 59.00 57.00 46.00 66.00
125.00 1.00 4.00 1.00 1.00 2.00 68.00 65.00 58.00 59.00 56.00
34.00 1.00 1.00 3.00 2.00 2.00 73.00 61.00 57.00 55.00 66.00
106.00 1.00 4.00 2.00 1.00 3.00 36.00 44.00 37.00 42.00 41.00
130.00 1.00 4.00 3.00 1.00 1.00 43.00 54.00 55.00 55.00 46.00
93.00 1.00 4.00 3.00 1.00 2.00 73.00 67.00 62.00 58.00 66.00
163.00 1.00 4.00 1.00 1.00 2.00 52.00 57.00 64.00 58.00 56.00
37.00 1.00 3.00 1.00 1.00 3.00 41.00 47.00 40.00 39.00 51.00
35.00 1.00 1.00 1.00 2.00 1.00 60.00 54.00 50.00 50.00 51.00
87.00 1.00 4.00 2.00 1.00 1.00 50.00 52.00 46.00 50.00 56.00
73.00 1.00 4.00 2.00 1.00 2.00 50.00 52.00 53.00 39.00 56.00
151.00 1.00 4.00 2.00 1.00 3.00 47.00 46.00 52.00 48.00 46.00
44.00 1.00 3.00 1.00 1.00 3.00 47.00 62.00 45.00 34.00 46.00
152.00 1.00 4.00 3.00 1.00 2.00 55.00 57.00 56.00 58.00 61.00
105.00 1.00 4.00 2.00 1.00 2.00 50.00 41.00 45.00 44.00 56.00
28.00 1.00 2.00 2.00 1.00 1.00 39.00 53.00 54.00 50.00 41.00
91.00 1.00 4.00 3.00 1.00 3.00 50.00 49.00 56.00 47.00 46.00
45.00 1.00 3.00 1.00 1.00 3.00 34.00 35.00 41.00 29.00 26.00
116.00 1.00 4.00 2.00 1.00 2.00 57.00 59.00 54.00 50.00 56.00
33.00 1.00 2.00 1.00 1.00 2.00 57.00 65.00 72.00 54.00 56.00
66.00 1.00 4.00 2.00 1.00 3.00 68.00 62.00 56.00 50.00 51.00
72.00 1.00 4.00 2.00 1.00 3.00 42.00 54.00 47.00 47.00 46.00
77.00 1.00 4.00 1.00 1.00 2.00 61.00 59.00 49.00 44.00 66.00
61.00 1.00 4.00 3.00 1.00 2.00 76.00 63.00 60.00 67.00 66.00
190.00 1.00 4.00 2.00 2.00 2.00 47.00 59.00 54.00 58.00 46.00
42.00 1.00 3.00 2.00 1.00 3.00 46.00 52.00 55.00 44.00 56.00
2.00 1.00 1.00 2.00 1.00 3.00 39.00 41.00 33.00 42.00 41.00
55.00 1.00 3.00 2.00 2.00 2.00 52.00 49.00 49.00 44.00 61.00
19.00 1.00 1.00 1.00 1.00 1.00 28.00 46.00 43.00 44.00 51.00
90.00 1.00 4.00 3.00 1.00 2.00 42.00 54.00 50.00 50.00 52.00
142.00 1.00 4.00 2.00 1.00 3.00 47.00 42.00 52.00 39.00 51.00
17.00 1.00 1.00 2.00 1.00 2.00 47.00 57.00 48.00 44.00 41.00
122.00 1.00 4.00 2.00 1.00 2.00 52.00 59.00 58.00 53.00 66.00
191.00 1.00 4.00 3.00 2.00 2.00 47.00 52.00 43.00 48.00 61.00
83.00 1.00 4.00 2.00 1.00 3.00 50.00 62.00 41.00 55.00 31.00
182.00 1.00 4.00 2.00 2.00 2.00 44.00 52.00 43.00 44.00 51.00
6.00 1.00 1.00 1.00 1.00 2.00 47.00 41.00 46.00 40.00 41.00
46.00 1.00 3.00 1.00 1.00 2.00 45.00 55.00 44.00 34.00 41.00
43.00 1.00 3.00 1.00 1.00 2.00 47.00 37.00 43.00 42.00 46.00
96.00 1.00 4.00 3.00 1.00 2.00 65.00 54.00 61.00 58.00 56.00
138.00 1.00 4.00 2.00 1.00 3.00 43.00 57.00 40.00 50.00 51.00
10.00 1.00 1.00 2.00 1.00 1.00 47.00 54.00 49.00 53.00 61.00
71.00 1.00 4.00 2.00 1.00 1.00 57.00 62.00 56.00 58.00 66.00
139.00 1.00 4.00 2.00 1.00 2.00 68.00 59.00 61.00 55.00 71.00
110.00 1.00 4.00 2.00 1.00 3.00 52.00 55.00 50.00 54.00 61.00
148.00 1.00 4.00 2.00 1.00 3.00 42.00 57.00 51.00 47.00 61.00
109.00 1.00 4.00 2.00 1.00 1.00 42.00 39.00 42.00 42.00 41.00
39.00 1.00 3.00 3.00 1.00 2.00 66.00 67.00 67.00 61.00 66.00
147.00 1.00 4.00 1.00 1.00 2.00 47.00 62.00 53.00 53.00 61.00
74.00 1.00 4.00 2.00 1.00 2.00 57.00 50.00 50.00 51.00 58.00
198.00 1.00 4.00 3.00 2.00 2.00 47.00 61.00 51.00 63.00 31.00
161.00 1.00 4.00 1.00 1.00 2.00 57.00 62.00 72.00 61.00 61.00
112.00 1.00 4.00 2.00 1.00 2.00 52.00 59.00 48.00 55.00 61.00
69.00 1.00 4.00 1.00 1.00 3.00 44.00 44.00 40.00 40.00 31.00
156.00 1.00 4.00 2.00 1.00 2.00 50.00 59.00 53.00 61.00 61.00
111.00 1.00 4.00 1.00 1.00 1.00 39.00 54.00 39.00 47.00 36.00
186.00 1.00 4.00 2.00 2.00 2.00 57.00 62.00 63.00 55.00 41.00
98.00 1.00 4.00 1.00 1.00 3.00 57.00 60.00 51.00 53.00 37.00
119.00 1.00 4.00 1.00 1.00 1.00 42.00 57.00 45.00 50.00 43.00
13.00 1.00 1.00 2.00 1.00 3.00 47.00 46.00 39.00 47.00 61.00
51.00 1.00 3.00 3.00 1.00 1.00 42.00 36.00 42.00 31.00 39.00
26.00 1.00 2.00 3.00 1.00 2.00 60.00 59.00 62.00 61.00 51.00
36.00 1.00 3.00 1.00 1.00 1.00 44.00 49.00 44.00 35.00 51.00
135.00 1.00 4.00 1.00 1.00 2.00 63.00 60.00 65.00 54.00 66.00
59.00 1.00 4.00 2.00 1.00 2.00 65.00 67.00 63.00 55.00 71.00
78.00 1.00 4.00 2.00 1.00 2.00 39.00 54.00 54.00 53.00 41.00
64.00 1.00 4.00 3.00 1.00 3.00 50.00 52.00 45.00 58.00 36.00
63.00 1.00 4.00 1.00 1.00 1.00 52.00 65.00 60.00 56.00 51.00
79.00 1.00 4.00 2.00 1.00 2.00 60.00 62.00 49.00 50.00 51.00
193.00 1.00 4.00 2.00 2.00 2.00 44.00 49.00 48.00 39.00 51.00
92.00 1.00 4.00 3.00 1.00 1.00 52.00 67.00 57.00 63.00 61.00
160.00 1.00 4.00 2.00 1.00 2.00 55.00 65.00 55.00 50.00 61.00
32.00 1.00 2.00 3.00 1.00 3.00 50.00 67.00 66.00 66.00 56.00
23.00 1.00 2.00 1.00 1.00 2.00 65.00 65.00 64.00 58.00 71.00
158.00 1.00 4.00 2.00 1.00 1.00 52.00 54.00 55.00 53.00 51.00
25.00 1.00 2.00 2.00 1.00 1.00 47.00 44.00 42.00 42.00 36.00
188.00 1.00 4.00 3.00 2.00 2.00 63.00 62.00 56.00 55.00 61.00
52.00 1.00 3.00 1.00 1.00 2.00 50.00 46.00 53.00 53.00 66.00
124.00 1.00 4.00 1.00 1.00 3.00 42.00 54.00 41.00 42.00 41.00
175.00 1.00 4.00 3.00 2.00 1.00 36.00 57.00 42.00 50.00 41.00
184.00 1.00 4.00 2.00 2.00 3.00 50.00 52.00 53.00 55.00 56.00
30.00 1.00 2.00 3.00 1.00 2.00 41.00 59.00 42.00 34.00 51.00
179.00 1.00 4.00 2.00 2.00 2.00 47.00 65.00 60.00 50.00 56.00
31.00 1.00 2.00 2.00 2.00 1.00 55.00 59.00 52.00 42.00 56.00
145.00 1.00 4.00 2.00 1.00 3.00 42.00 46.00 38.00 36.00 46.00
187.00 1.00 4.00 2.00 2.00 1.00 57.00 41.00 57.00 55.00 52.00
118.00 1.00 4.00 2.00 1.00 1.00 55.00 62.00 58.00 58.00 61.00
137.00 1.00 4.00 3.00 1.00 2.00 63.00 65.00 65.00 53.00 61.00
end data.
factor
/variables read write math science socst
/analysis read write math science socst
/extraction pc
/plot eigen
/criteria mineigen (.557)
.
])
AT_CHECK([pspp -O format=csv factor2.sps], [0],
[Table: Communalities
,Initial,Extraction
read,1.000,.736
write,1.000,.704
math,1.000,.750
science,1.000,.849
socst,1.000,.900
Table: Total Variance Explained
,Initial Eigenvalues,,,Extraction Sums of Squared Loadings,,,Rotation Sums of Squared Loadings,,
,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %
1,3.381,67.6%,67.6%,3.381,67.6%,67.6%,2.113,42.3%,42.3%
2,.557,11.1%,78.8%,.557,11.1%,78.8%,1.825,36.5%,78.8%
3,.407,8.1%,86.9%,,,,,,
4,.356,7.1%,94.0%,,,,,,
5,.299,6.0%,100.0%,,,,,,
Table: Component Matrix
,Component,
,1,2
read,.858,.020
write,.824,-.155
math,.844,.195
science,.801,.456
socst,.783,-.536
Table: Rotated Component Matrix
,Component,
,1,2
read,.650,.559
write,.508,.667
math,.757,.421
science,.900,.198
socst,.222,.922
])
AT_CLEANUP
AT_SETUP([FACTOR empty dataset])
dnl Test that something sane happens when the dataset contains no complete observations
AT_DATA([factor-empty.sps],
[data list notable list /x * y * z *.
begin data.
3.4 . 92.9
. 32.09 34.2
1.00 19.80 .
2.00 . 3.6
end data.
factor /variables = ALL.
])
AT_CHECK([pspp -O format=csv factor-empty.sps], [0], [ignore])
AT_CLEANUP
dnl Fixes a crash reported at
dnl http://lists.gnu.org/archive/html/bug-gnu-pspp/2012-04/msg00001.html
AT_SETUP([FACTOR /ROTATION=NOROTATE])
AT_DATA([factor-norotate.sps], [dnl
DATA LIST FREE / TRAIT1 TO TRAIT5 (F8.2).
BEGIN DATA
1 5 5 1 1
8 9 7 9 8
9 8 9 9 8
9 9 9 9 9
1 9 1 1 9
9 7 7 9 9
9 7 9 9 7
END DATA
SET SMALL=0.
FACTOR /VARIABLES=TRAIT1 TO TRAIT5
/ROTATION=NOROTATE /* NOROTATE may have caused the problem. */
/EXTRACTION=PC
/PRINT=DEFAULT DET UNIVARIATE ROTATION SIG CORRELATION.
])
AT_CHECK([pspp -O format=csv factor-norotate.sps], [0], [dnl
Table: Descriptive Statistics
,Mean,Std. Deviation,Analysis N
TRAIT1,6.57,3.54,7
TRAIT2,7.71,1.39,7
TRAIT3,6.71,2.71,7
TRAIT4,6.71,3.61,7
TRAIT5,7.29,2.66,7
Table: Correlation Matrix
,,TRAIT1,TRAIT2,TRAIT3,TRAIT4,TRAIT5
Correlation,TRAIT1,1.000,.296,.881,.995,.545
,TRAIT2,.296,1.000,-.022,.326,.837
,TRAIT3,.881,-.022,1.000,.867,.130
,TRAIT4,.995,.326,.867,1.000,.544
,TRAIT5,.545,.837,.130,.544,1.000
Sig. (1-tailed),TRAIT1,,.260,.004,.000,.103
,TRAIT2,.260,,.482,.238,.009
,TRAIT3,.004,.482,,.006,.390
,TRAIT4,.000,.238,.006,,.103
,TRAIT5,.103,.009,.390,.103,
Caption: Determinant: 0.00
Table: Communalities
,Initial,Extraction
TRAIT1,1.00,1.00
TRAIT2,1.00,1.00
TRAIT3,1.00,.99
TRAIT4,1.00,.99
TRAIT5,1.00,.99
Table: Total Variance Explained
,Initial Eigenvalues,,,Extraction Sums of Squared Loadings,,
,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %
1,3.26,65.3%,65.3%,3.26,65.3%,65.3%
2,1.54,30.8%,96.0%,1.54,30.8%,96.0%
3,.17,3.4%,99.4%,.17,3.4%,99.4%
4,.03,.6%,100.0%,.03,.6%,100.0%
5,.00,.0%,100.0%,,,
Table: Component Matrix
,Component,,,
,1,2,3,4
TRAIT1,.97,.23,-.08,.00
TRAIT2,.52,-.81,.28,.00
TRAIT3,.78,.59,.17,.00
TRAIT4,.97,.21,-.04,.00
TRAIT5,.70,-.67,-.23,.00
])
AT_CLEANUP
dnl Fixes a bug in the way that the /CRITERIA = ITERATE option was interpreted.
dnl http://lists.gnu.org/archive/html/bug-gnu-pspp/2013-09/msg00036.html
AT_SETUP([FACTOR /CRITERIA=ITERATE])
AT_DATA([factor-iterate.sps], [dnl
set format = F20.3.
data list notable list /x y z *.
begin data.
1.00 5.00 3.00
2.00 2.00 2.00
3.00 1.00 1.00
4.00 4.00 5.00
5.00 3.00 9.00
6.00 6.00 4.00
7.00 7.00 6.00
8.00 8.00 8.00
9.00 9.00 7.00
end data.
FACTOR
/VARIABLES= x y z
/CRITERIA = MINEIGEN (1) ITERATE (25)
/EXTRACTION =PAF
/METHOD = CORRELATION
/PRINT = INITIAL EXTRACTION
/CRITERIA = ITERATE (0)
/ROTATION = NOROTATE.
])
AT_CHECK([pspp -O format=csv factor-iterate.sps], [0], [dnl
Table: Communalities
,Initial,Extraction
x,.735,.979
y,.640,.653
z,.514,.523
Table: Total Variance Explained
,Initial Eigenvalues,,,Extraction Sums of Squared Loadings,,
,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %
1,2.404,80.1%,80.1%,2.155,71.8%,71.8%
2,.425,14.2%,94.3%,,,
3,.171,5.7%,100.0%,,,
Table: Factor Matrix
,Factor
,1
x,.990
y,.808
z,.723
])
AT_CLEANUP
AT_SETUP([FACTOR promax])
AT_DATA([factor-promax.sps], [dnl
set decimal=dot.
set format=F22.3.
get file='llz.zsav'.
factor
/variables pz pn ps nz nn ns tz tn ts oz on os sz sn ss zz zn zs
/missing listwise
/print initial extraction rotation
/criteria mineigen(1) iterate(25)
/extraction paf
/method correlation
/rotation promax (5).
])
AT_CHECK([ln -s $top_srcdir/tests/language/commands/llz.zsav .], [0], [ignore])
AT_CHECK([pspp -O format=csv factor-promax.sps], [0], [dnl
Table: Communalities
,Initial,Extraction
PZ,.191,.375
PN,.042,.102
PS,.458,.623
NZ,.100,.163
NN,.065,.079
NS,.129,.148
TZ,.181,.344
TN,.102,.142
TS,.310,.372
OZ,.097,.158
ON,.323,.410
OS,.469,.617
SZ,.104,.170
SN,.154,.267
SS,.081,.180
ZZ,.123,.192
ZN,.208,.412
ZS,.130,.158
Table: Total Variance Explained
,Initial Eigenvalues,,,Extraction Sums of Squared Loadings,,,Rotation Sums of Squared Loadings,,
,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %
1,2.968,16.5%,16.5%,2.411,13.4%,13.4%,. ,. ,. @&t@
2,2.026,11.3%,27.7%,1.271,7.1%,20.5%,. ,. ,-Infinity
3,1.622,9.0%,36.8%,.948,5.3%,25.7%,. ,. ,-Infinity
4,1.086,6.0%,42.8%,.283,1.6%,27.3%,. ,. ,-Infinity
5,.996,5.5%,48.3%,,,,,,
6,.923,5.1%,53.5%,,,,,,
7,.873,4.9%,58.3%,,,,,,
8,.856,4.8%,63.1%,,,,,,
9,.836,4.6%,67.7%,,,,,,
10,.816,4.5%,72.2%,,,,,,
11,.785,4.4%,76.6%,,,,,,
12,.740,4.1%,80.7%,,,,,,
13,.713,4.0%,84.7%,,,,,,
14,.653,3.6%,88.3%,,,,,,
15,.633,3.5%,91.8%,,,,,,
16,.604,3.4%,95.2%,,,,,,
17,.484,2.7%,97.9%,,,,,,
18,.386,2.1%,100.0%,,,,,,
Table: Factor Matrix
,Factor,,,
,1,2,3,4
PZ,-.276,.154,.510,.124
PN,.096,.129,-.091,.261
PS,.746,-.085,.234,.063
NZ,-.111,.323,.206,-.058
NN,.007,.260,-.083,-.069
NS,.366,.096,.046,.051
TZ,-.228,.172,.509,.059
TN,.131,.345,-.074,.029
TS,.601,-.005,.098,.030
OZ,-.145,.166,.322,-.081
ON,.607,.082,.073,-.173
OS,.757,-.059,.171,-.104
SZ,-.142,.307,.226,-.066
SN,.175,.436,-.183,.115
SS,.199,.206,-.083,.302
ZZ,-.074,.411,-.080,-.104
ZN,.015,.580,-.252,-.114
ZS,.365,.156,-.004,.015
Table: Pattern Matrix
,Factor,,,
,1,2,3,4
PZ,-.063,-.126,.599,.085
PN,-.035,.000,-.033,.325
PS,.762,-.175,.058,.081
NZ,.027,.230,.327,-.044
NN,.008,.289,.008,-.026
NS,.344,.044,.015,.091
TZ,.004,-.074,.589,.020
TN,.097,.307,.033,.103
TS,.585,-.043,-.017,.062
OZ,.046,.067,.382,-.109
ON,.654,.151,-.029,-.145
OS,.803,-.037,-.009,-.092
SZ,.009,.213,.345,-.060
SN,.065,.376,-.036,.227
SS,.054,.042,-.013,.388
ZZ,-.044,.434,.078,-.046
ZN,-.025,.646,-.041,-.006
ZS,.337,.133,-.013,.067
Table: Structure Matrix
,Factor,,,
,1,2,3,4
PZ,-.177,-.058,.598,-.022
PN,.068,.110,-.049,.317
PS,.771,-.138,-.136,.240
NZ,-.060,.236,.339,.019
NN,.000,.281,.027,.076
NS,.368,.080,-.068,.207
TZ,-.127,-.028,.582,-.049
TN,.122,.345,.023,.235
TS,.607,-.018,-.160,.221
OZ,-.074,.055,.384,-.101
ON,.619,.104,-.160,.102
OS,.778,-.064,-.190,.132
SZ,-.086,.215,.361,-.009
SN,.143,.453,-.044,.380
SS,.171,.176,-.052,.420
ZZ,-.073,.422,.120,.085
ZN,-.013,.641,.008,.214
ZS,.361,.158,-.088,.213
Table: Factor Correlation Matrix
Factor,1,2,3,4
1,1.000,.008,-.232,.294
2,.008,1.000,.065,.347
3,-.232,.065,1.000,-.076
4,.294,.347,-.076,1.000
])
AT_CLEANUP
AT_SETUP([FACTOR covariance matrix])
AT_DATA([covariance-matrix.sps], [dnl
set format = F10.3.
matrix data
variables = rowtype_ var01 var02 var03 var04 var05 var06 var07 var08
/ format = lower diagonal .
begin data
mean 24.3 5.4 69.7 20.1 13.4 2.7 27.9 3.7
sd 5.7 1.5 23.5 5.8 2.8 4.5 5.4 1.5
n 92 92 92 92 92 92 92 92
cov 32.490000
cov 1.539000 2.250000
cov -29.469000 -5.992500 552.250000
cov 11.901600 2.697000 -19.082000 33.640000
cov 4.309200 0.672000 -7.896000 3.572800 7.840000
cov 8.464500 1.012500 -17.977500 6.264000 2.646000 20.250000
cov 15.390000 2.349000 -25.380000 10.022400 1.814400 9.234000 29.160000
cov 1.453500 0.652500 -1.762500 1.740000 1.134000 1.350000 0.324000 2.250000
end data.
factor matrix in (cov = *)
/ method = covariance
/ print = initial covariance
/ extraction = pc
/ rotation = norotate.
])
AT_CHECK([pspp -O format=csv covariance-matrix.sps], [0], [dnl
Table: Covariance Matrix
,var01,var02,var03,var04,var05,var06,var07,var08
var01,32.490,1.539,-29.469,11.902,4.309,8.464,15.390,1.454
var02,1.539,2.250,-5.992,2.697,.672,1.013,2.349,.653
var03,-29.469,-5.992,552.250,-19.082,-7.896,-17.977,-25.380,-1.763
var04,11.902,2.697,-19.082,33.640,3.573,6.264,10.022,1.740
var05,4.309,.672,-7.896,3.573,7.840,2.646,1.814,1.134
var06,8.464,1.013,-17.977,6.264,2.646,20.250,9.234,1.350
var07,15.390,2.349,-25.380,10.022,1.814,9.234,29.160,.324
var08,1.454,.653,-1.763,1.740,1.134,1.350,.324,2.250
Table: Communalities
,Initial
var01,32.490
var02,2.250
var03,552.250
var04,33.640
var05,7.840
var06,20.250
var07,29.160
var08,2.250
Table: Total Variance Explained
,Initial Eigenvalues,,
,Total,% of Variance,Cumulative %
1,556.895,81.9%,81.9%
2,57.963,8.5%,90.4%
3,23.576,3.5%,93.9%
4,16.446,2.4%,96.3%
5,14.603,2.1%,98.4%
6,6.831,1.0%,99.4%
7,2.375,.3%,99.8%
8,1.440,.2%,100.0%
Table: Component Matrix
,Component,,,,,,
,1,2,3,4,5,6,7
var01,1.394,4.388,1.513,-2.851,.849,.396,.033
var02,.269,.460,-.173,.147,-.146,-.213,.872
var03,-23.489,.725,.058,.003,.022,-.012,.006
var04,.926,4.007,-4.068,.241,-.253,.218,-.026
var05,.363,.829,-.172,-.255,.805,-2.492,.058
var06,.843,2.354,.971,2.425,2.649,.392,.046
var07,1.205,3.948,1.926,1.515,-2.450,-.317,-.087
var08,.085,.319,-.157,-.011,.353,-.341,-.816
])
AT_CLEANUP
dnl A more realistic example of factor analysis usage.
AT_SETUP([FACTOR correlation matrix])
AT_DATA([correlation-matrix.sps], [dnl
set format = F10.3.
matrix data
variables = rowtype_
cdi_actws_16 cdi_maxzin_16 rdls_passws_16 rdls_actws_16 cdi_actws_20 cdi_maxzin_20 cdi_actws_26 cdi_maxzin_26 rdls_passws_26 rdls_actws_26
nepsy_passws_36 morf_verv_36 bnt_actws_36 klankgr_id_36 snelnoe_36 letters_36 ppvt_passws_50 morf_verv_50
nepsy_passws_56 bnt_actws_56 klank_gr_weg_56 snelnoe_56 letters_56
leesacc_wo_owo_811 leesacc_tekst_811 leesacc_otekst_811 leessne_wo_owo_811 leesvl_tekst_811 leesvl_otekst_811 leessne_wo_811 spel_wo_owo_811
/ format = upper diagonal .
begin data
mean 64.44 1.74 15.30 11.50 269.03 5.37 441.90 8.57 36.59 33.99 11.68 14.74 18.67 6.70 71.57 2.28 70.45 51.82 18.82 34.57 11.68 45.63 12.94 35.08 92.60 79.28 2.78 61.71 29.44 9.46 13.17
sd 74.93 1.36 5.51 4.17 159.26 2.76 128.77 3.50 6.20 6.50 3.55 8.37 5.90 3.01 24.81 4.09 24.44 18.55 2.90 6.46 3.01 14.06 7.69 4.36 7.10 17.57 1.27 25.68 11.75 3.36 4.13
n 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150 150
corr 1.00 .784 .397 .862 .692 .625 .490 .374 .406 .371 .260 .257 .306 .118 -.148 .072 .202 .234 .198 .241 .205 -.054 .246 .166 .143 .155 -.122 .144 -.010 .135 .241
corr 1.00 .333 .751 .549 .553 .447 .313 .304 .377 .204 .249 .258 .193 -.158 .119 .150 .216 .127 .209 .242 .046 .233 .120 .155 .107 -.126 .147 -.009 .134 .208
corr 1.00 .469 .433 .381 .442 .307 .462 .391 .378 .293 .369 .191 -.306 .238 .204 .215 .295 .285 .157 .069 .241 .029 .060 .054 -.043 .124 -.069 .054 .136
corr 1.00 .708 .663 .509 .419 .434 .432 .267 .255 .342 .132 -.192 .142 .228 .203 .248 .260 .200 -.051 .254 .136 .156 .109 -.126 .172 -.004 .157 .268
corr 1.00 .787 .710 .567 .402 .511 .274 .285 .332 .154 -.096 .247 .253 .235 .245 .257 .261 -.048 .243 .119 .194 .164 -.108 .184 .011 .157 .235
corr 1.00 .590 .646 .449 .505 .313 .322 .405 .148 -.117 .152 .294 .322 .252 .321 .267 -.055 .255 .118 .178 .137 -.110 .182 .004 .146 .216
corr 1.00 .548 .343 .619 .296 .260 .456 .149 -.098 .252 .279 .267 .342 .361 .186 -.066 .215 .107 .148 .059 -.114 .156 -.035 .095 .220
corr 1.00 .406 .509 .397 .236 .416 .037 -.179 .192 .334 .293 .277 .367 .162 -.150 .306 .171 .307 .173 -.128 .255 .075 .224 .315
corr 1.00 .410 .497 .560 .574 .240 -.301 .204 .508 .351 .457 .428 .242 -.117 .367 .136 .191 .191 -.102 .215 .053 .185 .273
corr 1.00 .328 .258 .534 .236 -.202 .200 .333 .209 .352 .375 .302 -.119 .272 .062 .203 .042 -.092 .220 .020 .158 .227
corr 1.00 .439 .488 .323 -.213 .287 .507 .427 .493 .522 .298 -.142 .371 .109 .215 .213 -.048 .228 .009 .133 .267
corr 1.00 .437 .381 -.158 .153 .403 .430 .383 .379 .150 -.141 .303 .115 .131 .155 -.170 .206 .039 .193 .254
corr 1.00 .247 -.143 .182 .521 .364 .415 .688 .304 -.185 .327 .188 .211 .202 -.111 .272 .122 .226 .301
corr 1.00 -.150 .229 .296 .249 .329 .255 .210 -.036 .252 .141 .230 .112 -.195 .309 .135 .250 .195
corr 1.00 -.132 -.204 -.162 -.284 -.166 -.189 .294 -.339 -.094 -.218 -.144 .153 -.246 -.128 -.192 -.239
corr 1.00 .151 .132 .166 .195 .387 -.214 .476 .154 .187 .167 -.236 .410 .316 .370 .245
corr 1.00 .388 .479 .591 .294 -.171 .351 .102 .245 .180 .003 .274 .059 .178 .236
corr 1.00 .408 .437 .276 -.153 .353 .251 .318 .229 -.111 .263 .042 .203 .349
corr 1.00 .467 .234 -.249 .382 .199 .313 .197 -.117 .263 .047 .215 .318
corr 1.00 .368 -.199 .441 .198 .224 .197 -.099 .329 .105 .256 .322
corr 1.00 -.211 .473 .233 .253 .268 -.198 .397 .229 .309 .277
corr 1.00 -.310 -.217 -.312 -.203 .227 -.296 -.260 -.276 -.321
corr 1.00 .368 .350 .311 -.313 .578 .338 .521 .458
corr 1.00 .415 .580 -.588 .545 .497 .635 .683
corr 1.00 .570 -.386 .494 .340 .538 .524
corr 1.00 -.366 .427 .299 .498 .506
corr 1.00 -.684 -.620 -.746 -.568
corr 1.00 .759 .900 .555
corr 1.00 .814 .400
corr 1.00 .621
corr 1.00
end data .
factor matrix in (cor = *)
/ analysis = cdi_actws_16 rdls_actws_16 cdi_actws_20 cdi_actws_26 rdls_actws_26 bnt_actws_36 bnt_actws_56
/ format = default
/ criteria = factors (1)
/ extraction = pc
/ rotation = norotate
/ print = initial extraction .
])
AT_CHECK([pspp -O format=csv correlation-matrix.sps], [0], [dnl
Table: Communalities
,Initial,Extraction
cdi_actws_16,1.000,.614
rdls_actws_16,1.000,.660
cdi_actws_20,1.000,.695
cdi_actws_26,1.000,.650
rdls_actws_26,1.000,.536
bnt_actws_36,1.000,.443
bnt_actws_56,1.000,.316
Table: Total Variance Explained
,Initial Eigenvalues,,,Extraction Sums of Squared Loadings,,
,Total,% of Variance,Cumulative %,Total,% of Variance,Cumulative %
1,3.914,55.9%,55.9%,3.914,55.9%,55.9%
2,1.320,18.9%,74.8%,,,
3,.716,10.2%,85.0%,,,
4,.422,6.0%,91.0%,,,
5,.278,4.0%,95.0%,,,
6,.216,3.1%,98.1%,,,
7,.135,1.9%,100.0%,,,
Table: Component Matrix
,Component
,1
cdi_actws_16,.784
rdls_actws_16,.812
cdi_actws_20,.834
cdi_actws_26,.806
rdls_actws_26,.732
bnt_actws_36,.666
bnt_actws_56,.562
])
AT_CLEANUP
AT_SETUP([FACTOR bad input])
dnl Test for a crash
AT_DATA([bad-input.sps], [dnl
set format = F10.3.
MATRIX DATA VARIABLES S1 ROWTYPE_ V1 TO V3 /SPLIT=S1.
BEGIN DATA
0 MEAN 2 4 3
0 SD 1 2 3
0 N 9 9 9
0 KORR 1
0 CORV .6 1
0 CORR .7 .8 1
1 MEAN 9 8 7
1 SD 5 6 7
1 N 9 9 9
1 CORR 1
X CORR .4 1
1 CORR .3 .2 1
END DATA.
EXECUTE.
FACTOR MATRIX IN (CORR =!*)
/PRINT = CORRELATION
.
])
AT_CHECK([pspp -O format=csv bad-input.sps], [1], [ignore])
AT_CLEANUP
AT_SETUP([FACTOR anti-image matrix])
AT_DATA([anti-image-matrix.sps], [dnl
SET FORMAT=F20.3 .
matrix data
variables = rowtype_ viq piq pa ran piatwr piatc
/ n = 476
/ format = lower diagonal .
begin data
mean 96.88 100.51 -1.73 -0.94 -2.52 -1.85
sd 10.97 11.19 1.19 0.88 0.85 0.97
corr 1.00
corr 0.38 1.00
corr 0.26 0.24 1.00
corr 0.16 0.17 0.34 1.00
corr 0.25 0.07 0.46 0.38 1.00
corr 0.37 0.22 0.39 0.30 0.59 1.00
end data.
factor matrix = in (cor = *)
/ analysis = viq piq pa ran piatwr piatc
/ format = sort
/ extraction = pc
/ rotation = norotate
/ print = aic
])
AT_CHECK([pspp -O format=csv anti-image-matrix.sps], [0], [dnl
Table: Anti-Image Matrices
,,viq,piq,pa,ran,piatwr,piatc
Anti-image Covariance,viq,.762,-.248,-.048,.008,-.031,-.143
,piq,-.248,.807,-.117,-.081,.108,-.071
,pa,-.048,-.117,.711,-.125,-.173,-.060
,ran,.008,-.081,-.125,.808,-.143,-.035
,piatwr,-.031,.108,-.173,-.143,.551,-.265
,piatc,-.143,-.071,-.060,-.035,-.265,.581
Anti-image Correlation,viq,.741,-.316,-.066,.011,-.048,-.215
,piq,-.316,.624,-.154,-.100,.163,-.103
,pa,-.066,-.154,.811,-.165,-.277,-.093
,ran,.011,-.100,-.165,.825,-.214,-.051
,piatwr,-.048,.163,-.277,-.214,.675,-.469
,piatc,-.215,-.103,-.093,-.051,-.469,.729
Table: Component Matrix
,Component,,,,
,1,2,3,4,5
piatc,.774,.122,-.368,.365,-.322
piatwr,.754,.418,.442,.219,-.115
pa,.707,.124,-.117,-.161,.256
piq,.456,-.733,.122,-.289,-.377
viq,.589,-.539,.033,.298,.457
ran,.592,.262,-.069,-.638,.096
])
AT_CLEANUP
AT_SETUP([FACTOR Kaiser-Meyer-Olkin])
AT_DATA([kmo.sps], [dnl
SET FORMAT=F20.3 .
matrix data
variables = rowtype_ viq piq pa ran piatwr piatc
/ n = 476
/ format = lower diagonal .
begin data
mean 96.88 100.51 -1.73 -0.94 -2.52 -1.85
sd 10.97 11.19 1.19 0.88 0.85 0.97
corr 1.00
corr 0.38 1.00
corr 0.26 0.24 1.00
corr 0.16 0.17 0.34 1.00
corr 0.25 0.07 0.46 0.38 1.00
corr 0.37 0.22 0.39 0.30 0.59 1.00
end data.
factor matrix = in (cor = *)
/ analysis = viq piq pa ran piatwr piatc
/ extraction = pc
/ rotation = norotate
/ print = kmo
])
AT_CHECK([pspp -O format=csv kmo.sps], [0], [dnl
Table: KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy,,.730
Bartlett's Test of Sphericity,Approx. Chi-Square,602.673
,df,15
,Sig.,.000
Table: Component Matrix
,Component,,,,
,1,2,3,4,5
viq,.589,-.539,.033,.298,.457
piq,.456,-.733,.122,-.289,-.377
pa,.707,.124,-.117,-.161,.256
ran,.592,.262,-.069,-.638,.096
piatwr,.754,.418,.442,.219,-.115
piatc,.774,.122,-.368,.365,-.322
])
AT_CLEANUP
AT_SETUP([FACTOR syntax errors])
AT_DATA([factor.sps], [dnl
DATA LIST LIST NOTABLE /x y.
FACTOR VARIABLES=**.
FACTOR MATRIX=**.
FACTOR MATRIX=IN **.
FACTOR MATRIX=IN(**).
FACTOR MATRIX=IN(CORR **).
FACTOR MATRIX=IN(CORR=**).
FACTOR MATRIX=IN(CORR=* **).
FACTOR **.
FACTOR VARIABLES=x/ANALYSIS=**.
FACTOR VARIABLES=x/PLOT=**.
FACTOR VARIABLES=x/METHOD=**.
FACTOR VARIABLES=x/ROTATION=PROMAX(**).
FACTOR VARIABLES=x/ROTATION=PROMAX(123 **).
FACTOR VARIABLES=x/ROTATION=**.
FACTOR VARIABLES=x/CRITERIA=FACTORS **.
FACTOR VARIABLES=x/CRITERIA=FACTORS(**).
FACTOR VARIABLES=x/CRITERIA=FACTORS(123 **).
FACTOR VARIABLES=x/CRITERIA=MINEIGEN **.
FACTOR VARIABLES=x/CRITERIA=MINEIGEN(**).
FACTOR VARIABLES=x/CRITERIA=MINEIGEN(123 **).
FACTOR VARIABLES=x/CRITERIA=ECONVERGE **.
FACTOR VARIABLES=x/CRITERIA=ECONVERGE(**).
FACTOR VARIABLES=x/CRITERIA=ECONVERGE(123 **).
FACTOR VARIABLES=x/CRITERIA=RCONVERGE **.
FACTOR VARIABLES=x/CRITERIA=RCONVERGE(**).
FACTOR VARIABLES=x/CRITERIA=RCONVERGE(123 **).
FACTOR VARIABLES=x/CRITERIA=**.
FACTOR VARIABLES=x/EXTRACTION=**.
FACTOR VARIABLES=x/FORMAT=BLANK **.
FACTOR VARIABLES=x/FORMAT=BLANK(**).
FACTOR VARIABLES=x/FORMAT=BLANK(123 **).
FACTOR VARIABLES=x/FORMAT=**.
FACTOR VARIABLES=x/PRINT=**.
FACTOR VARIABLES=x/MISSING=**.
FACTOR VARIABLES=x/ **.
FACTOR VARIABLES=x.
])
AT_CHECK([pspp -O format=csv factor.sps], [1], [dnl
"factor.sps:2.18-2.19: error: FACTOR: Syntax error expecting variable name.
2 | FACTOR VARIABLES=**.
| ^~"
"factor.sps:3.15-3.16: error: FACTOR: Syntax error expecting `IN('.
3 | FACTOR MATRIX=**.
| ^~"
"factor.sps:4.15-4.19: error: FACTOR: Syntax error expecting `IN('.
4 | FACTOR MATRIX=IN **.
| ^~~~~"
"factor.sps:5.18-5.19: error: FACTOR: Matrix input for FACTOR must be either COV or CORR.
5 | FACTOR MATRIX=IN(**).
| ^~"
"factor.sps:6.23-6.24: error: FACTOR: Syntax error expecting `='.
6 | FACTOR MATRIX=IN(CORR **).
| ^~"
"factor.sps:7.23-7.24: error: FACTOR: Syntax error expecting a file name or handle name.
7 | FACTOR MATRIX=IN(CORR=**).
| ^~"
"factor.sps:8.25-8.26: error: FACTOR: Syntax error expecting `)'.
8 | FACTOR MATRIX=IN(CORR=* **).
| ^~"
"factor.sps:10.29-10.30: error: FACTOR: Syntax error expecting variable name.
10 | FACTOR VARIABLES=x/ANALYSIS=**.
| ^~"
"factor.sps:11.25-11.26: error: FACTOR: Syntax error expecting EIGEN.
11 | FACTOR VARIABLES=x/PLOT=**.
| ^~"
"factor.sps:12.27-12.28: error: FACTOR: Syntax error expecting COVARIANCE or CORRELATION.
12 | FACTOR VARIABLES=x/METHOD=**.
| ^~"
"factor.sps:13.36-13.37: error: FACTOR: Syntax error expecting integer.
13 | FACTOR VARIABLES=x/ROTATION=PROMAX(**).
| ^~"
"factor.sps:14.40-14.41: error: FACTOR: Syntax error expecting `)'.
14 | FACTOR VARIABLES=x/ROTATION=PROMAX(123 **).
| ^~"
"factor.sps:15.29-15.30: error: FACTOR: Syntax error expecting DEFAULT, VARIMAX, EQUAMAX, QUARTIMAX, PROMAX, or NOROTATE.
15 | FACTOR VARIABLES=x/ROTATION=**.
| ^~"
"factor.sps:16.37-16.38: error: FACTOR: Syntax error expecting `('.
16 | FACTOR VARIABLES=x/CRITERIA=FACTORS **.
| ^~"
"factor.sps:17.37-17.38: error: FACTOR: Syntax error expecting integer.
17 | FACTOR VARIABLES=x/CRITERIA=FACTORS(**).
| ^~"
"factor.sps:18.41-18.42: error: FACTOR: Syntax error expecting `)'.
18 | FACTOR VARIABLES=x/CRITERIA=FACTORS(123 **).
| ^~"
"factor.sps:19.38-19.39: error: FACTOR: Syntax error expecting `('.
19 | FACTOR VARIABLES=x/CRITERIA=MINEIGEN **.
| ^~"
"factor.sps:20.38-20.39: error: FACTOR: Syntax error expecting number.
20 | FACTOR VARIABLES=x/CRITERIA=MINEIGEN(**).
| ^~"
"factor.sps:21.42-21.43: error: FACTOR: Syntax error expecting `)'.
21 | FACTOR VARIABLES=x/CRITERIA=MINEIGEN(123 **).
| ^~"
"factor.sps:22.39-22.40: error: FACTOR: Syntax error expecting `('.
22 | FACTOR VARIABLES=x/CRITERIA=ECONVERGE **.
| ^~"
"factor.sps:23.39-23.40: error: FACTOR: Syntax error expecting number.
23 | FACTOR VARIABLES=x/CRITERIA=ECONVERGE(**).
| ^~"
"factor.sps:24.43-24.44: error: FACTOR: Syntax error expecting `)'.
24 | FACTOR VARIABLES=x/CRITERIA=ECONVERGE(123 **).
| ^~"
"factor.sps:25.39-25.40: error: FACTOR: Syntax error expecting `('.
25 | FACTOR VARIABLES=x/CRITERIA=RCONVERGE **.
| ^~"
"factor.sps:26.39-26.40: error: FACTOR: Syntax error expecting number.
26 | FACTOR VARIABLES=x/CRITERIA=RCONVERGE(**).
| ^~"
"factor.sps:27.43-27.44: error: FACTOR: Syntax error expecting `)'.
27 | FACTOR VARIABLES=x/CRITERIA=RCONVERGE(123 **).
| ^~"
"factor.sps:28.29-28.30: error: FACTOR: Syntax error expecting FACTORS, MINEIGEN, ECONVERGE, RCONVERGE, ITERATE, or DEFAULT.
28 | FACTOR VARIABLES=x/CRITERIA=**.
| ^~"
"factor.sps:29.31-29.32: error: FACTOR: Syntax error expecting PAF, PC, PA1, or DEFAULT.
29 | FACTOR VARIABLES=x/EXTRACTION=**.
| ^~"
"factor.sps:30.33-30.34: error: FACTOR: Syntax error expecting `('.
30 | FACTOR VARIABLES=x/FORMAT=BLANK **.
| ^~"
"factor.sps:31.33-31.34: error: FACTOR: Syntax error expecting number.
31 | FACTOR VARIABLES=x/FORMAT=BLANK(**).
| ^~"
"factor.sps:32.37-32.38: error: FACTOR: Syntax error expecting `)'.
32 | FACTOR VARIABLES=x/FORMAT=BLANK(123 **).
| ^~"
"factor.sps:33.27-33.28: error: FACTOR: Syntax error expecting SORT, BLANK, or DEFAULT.
33 | FACTOR VARIABLES=x/FORMAT=**.
| ^~"
"factor.sps:34.26-34.27: error: FACTOR: Syntax error expecting one of the following: UNIVARIATE, DET, AIC, SIG, CORRELATION, COVARIANCE, ROTATION, EXTRACTION, INITIAL, KMO, ALL, DEFAULT.
34 | FACTOR VARIABLES=x/PRINT=**.
| ^~"
"factor.sps:35.28-35.29: error: FACTOR: Syntax error expecting INCLUDE, EXCLUDE, LISTWISE, PAIRRWISE, or MEANSUB.
35 | FACTOR VARIABLES=x/MISSING=**.
| ^~"
"factor.sps:36.21-36.22: error: FACTOR: Syntax error expecting one of the following: ANALYSIS, PLOT, METHOD, ROTATION, CRITERIA, EXTRACTION, FORMAT, PRINT, MISSING.
36 | FACTOR VARIABLES=x/ **.
| ^~"
"factor.sps:37.18: warning: FACTOR: Factor analysis on a single variable is not useful.
37 | FACTOR VARIABLES=x.
| ^"
error: FACTOR: At end of input: Syntax error expecting `BEGIN DATA'.
])
AT_CLEANUP
|
