X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;ds=sidebyside;f=tests%2Flanguage%2Fdictionary%2Fweight.at;fp=tests%2Flanguage%2Fdictionary%2Fweight.at;h=0eb55bc72d0d22dfa61f367c0d59b7ea74deecc2;hb=69b9816068e07d79b6717754a0edbb757af84a40;hp=0000000000000000000000000000000000000000;hpb=52537fd5a00b0756e274cd0e2e1fdf9aca7cccf5;p=pspp

diff --git a/tests/language/dictionary/weight.at b/tests/language/dictionary/weight.at
new file mode 100644
index 0000000000..0eb55bc72d
--- /dev/null
+++ b/tests/language/dictionary/weight.at
@@ -0,0 +1,151 @@
+AT_BANNER([WEIGHT])
+
+AT_SETUP([WEIGHT])
+AT_DATA([weight.txt], [dnl
+   18    1
+   19    7
+   20   26
+   21   76
+   22   57
+   23   58
+   24   38
+   25   38
+   26   30
+   27   21
+   28   23
+   29   24
+   30   23
+   31   14
+   32   21
+   33   21
+   34   14
+   35   14
+   36   17
+   37   11
+   38   16
+   39   14
+   40   15
+   41   14
+   42   14
+   43    8
+   44   15
+   45   10
+   46   12
+   47   13
+   48   13
+   49    5
+   50    5
+   51    3
+   52    7
+   53    6
+   54    2
+   55    2
+   56    2
+   57    3
+   58    1
+   59    3
+   61    1
+   62    3
+   63    1
+   64    1
+   65    2
+   70    1
+   78    1
+   79    1
+   80    1
+   94    1
+])
+AT_DATA([weight.sps], [dnl
+SET FORMAT F8.3.
+data list file='weight.txt'/AVAR 1-5 BVAR 6-10.
+weight by BVAR.
+
+descriptives AVAR /statistics all /format serial.
+frequencies AVAR /statistics all.
+])
+AT_CHECK([pspp -o pspp.csv weight.sps])
+AT_CHECK([cat pspp.csv], [0], [dnl
+Table: Reading 1 record from `weight.txt'.
+Variable,Record,Columns,Format
+AVAR,1,1-  5,F5.0
+BVAR,1,6- 10,F5.0
+
+Table: Valid cases = 730; cases with missing value(s) = 0.
+Variable,Valid N,Missing N,Mean,S.E. Mean,Std Dev,Variance,Kurtosis,S.E. Kurt,Skewness,S.E. Skew,Range,Minimum,Maximum,Sum
+AVAR,730,0,31.515,.405,10.937,119.608,2.411,.181,1.345,.090,76.000,18.000,94.000,23006.00
+
+Table: AVAR
+Value Label,Value,Frequency,Percent,Valid Percent,Cum Percent
+,18,1,.137,.137,.137
+,19,7,.959,.959,1.096
+,20,26,3.562,3.562,4.658
+,21,76,10.411,10.411,15.068
+,22,57,7.808,7.808,22.877
+,23,58,7.945,7.945,30.822
+,24,38,5.205,5.205,36.027
+,25,38,5.205,5.205,41.233
+,26,30,4.110,4.110,45.342
+,27,21,2.877,2.877,48.219
+,28,23,3.151,3.151,51.370
+,29,24,3.288,3.288,54.658
+,30,23,3.151,3.151,57.808
+,31,14,1.918,1.918,59.726
+,32,21,2.877,2.877,62.603
+,33,21,2.877,2.877,65.479
+,34,14,1.918,1.918,67.397
+,35,14,1.918,1.918,69.315
+,36,17,2.329,2.329,71.644
+,37,11,1.507,1.507,73.151
+,38,16,2.192,2.192,75.342
+,39,14,1.918,1.918,77.260
+,40,15,2.055,2.055,79.315
+,41,14,1.918,1.918,81.233
+,42,14,1.918,1.918,83.151
+,43,8,1.096,1.096,84.247
+,44,15,2.055,2.055,86.301
+,45,10,1.370,1.370,87.671
+,46,12,1.644,1.644,89.315
+,47,13,1.781,1.781,91.096
+,48,13,1.781,1.781,92.877
+,49,5,.685,.685,93.562
+,50,5,.685,.685,94.247
+,51,3,.411,.411,94.658
+,52,7,.959,.959,95.616
+,53,6,.822,.822,96.438
+,54,2,.274,.274,96.712
+,55,2,.274,.274,96.986
+,56,2,.274,.274,97.260
+,57,3,.411,.411,97.671
+,58,1,.137,.137,97.808
+,59,3,.411,.411,98.219
+,61,1,.137,.137,98.356
+,62,3,.411,.411,98.767
+,63,1,.137,.137,98.904
+,64,1,.137,.137,99.041
+,65,2,.274,.274,99.315
+,70,1,.137,.137,99.452
+,78,1,.137,.137,99.589
+,79,1,.137,.137,99.726
+,80,1,.137,.137,99.863
+,94,1,.137,.137,100.000
+Total,,730,100.0,100.0,
+
+Table: AVAR
+N,Valid,730
+,Missing,0
+Mean,,31.515
+S.E. Mean,,.405
+Mode,,21.000
+Std Dev,,10.937
+Variance,,119.608
+Kurtosis,,2.411
+S.E. Kurt,,.181
+Skewness,,1.345
+S.E. Skew,,.090
+Range,,76.000
+Minimum,,18.000
+Maximum,,94.000
+Sum,,23006.00
+Percentiles,50 (Median),29
+])
+AT_CLEANUP