dnl PSPP - a program for statistical analysis.
dnl Copyright (C) 2017 Free Software Foundation, Inc.
-dnl
+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
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
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
end data.
-missing values
+missing values
question13 question14 question15 question16 question17 question18 question19 question20 question21 question22 question23 question24 (0).
factor
question22,.613,,
question23,.819,,.345
question24,.695,,.386
-
+
Table: Rotated Factor Matrix
,Factor,,
,1,2,3
AT_CLEANUP
AT_SETUP([FACTOR extraction=pc method=correlation])
-dnl This example is from http://www.ats.ucla.edu/stat/spss/whatstat/whatstat.htm
+dnl This example is from http://www.ats.ucla.edu/stat/spss/whatstat/whatstat.htm
AT_DATA([factor2.sps],
[set format = F11.3.
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
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
+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).
])
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
+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 = *)
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
+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
+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
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
+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
AT_SETUP([FACTOR bad input])
-dnl Test for a crash
+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.
corr 0.37 0.22 0.39 0.30 0.59 1.00
end data.
-factor matrix = in (cor = *)
+factor matrix = in (cor = *)
/ analysis = viq piq pa ran piatwr piatc
- / format = sort
+ / format = sort
/ extraction = pc
/ rotation = norotate
/ print = aic
corr 0.37 0.22 0.39 0.30 0.59 1.00
end data.
-factor matrix = in (cor = *)
+factor matrix = in (cor = *)
/ analysis = viq piq pa ran piatwr piatc
/ extraction = pc
/ rotation = norotate
projects / pspp / blobdiff