tests/language/dictionary/weight.at

   1 AT_BANNER([WEIGHT])
   2
   3 AT_SETUP([WEIGHT])
   4 AT_DATA([weight.txt], [dnl
   5    18    1
   6    19    7
   7    20   26
   8    21   76
   9    22   57
  10    23   58
  11    24   38
  12    25   38
  13    26   30
  14    27   21
  15    28   23
  16    29   24
  17    30   23
  18    31   14
  19    32   21
  20    33   21
  21    34   14
  22    35   14
  23    36   17
  24    37   11
  25    38   16
  26    39   14
  27    40   15
  28    41   14
  29    42   14
  30    43    8
  31    44   15
  32    45   10
  33    46   12
  34    47   13
  35    48   13
  36    49    5
  37    50    5
  38    51    3
  39    52    7
  40    53    6
  41    54    2
  42    55    2
  43    56    2
  44    57    3
  45    58    1
  46    59    3
  47    61    1
  48    62    3
  49    63    1
  50    64    1
  51    65    2
  52    70    1
  53    78    1
  54    79    1
  55    80    1
  56    94    1
  57 ])
  58 AT_DATA([weight.sps], [dnl
  59 SET FORMAT F8.3.
  60 data list file='weight.txt'/AVAR 1-5 BVAR 6-10.
  61 weight by BVAR.
  62
  63 descriptives AVAR /statistics all /format serial.
  64 frequencies AVAR /statistics all.
  65 ])
  66 AT_CHECK([pspp -o pspp.csv weight.sps])
  67 AT_CHECK([cat pspp.csv], [0], [dnl
  68 Table: Reading 1 record from `weight.txt'.
  69 Variable,Record,Columns,Format
  70 AVAR,1,1-  5,F5.0
  71 BVAR,1,6- 10,F5.0
  72
  73 Table: Valid cases = 730; cases with missing value(s) = 0.
  74 Variable,Valid N,Missing N,Mean,S.E. Mean,Std Dev,Variance,Kurtosis,S.E. Kurt,Skewness,S.E. Skew,Range,Minimum,Maximum,Sum
  75 AVAR,730,0,31.515,.405,10.937,119.608,2.411,.181,1.345,.090,76.000,18.000,94.000,23006.00
  76
  77 Table: AVAR
  78 Value Label,Value,Frequency,Percent,Valid Percent,Cum Percent
  79 ,18,1,.137,.137,.137
  80 ,19,7,.959,.959,1.096
  81 ,20,26,3.562,3.562,4.658
  82 ,21,76,10.411,10.411,15.068
  83 ,22,57,7.808,7.808,22.877
  84 ,23,58,7.945,7.945,30.822
  85 ,24,38,5.205,5.205,36.027
  86 ,25,38,5.205,5.205,41.233
  87 ,26,30,4.110,4.110,45.342
  88 ,27,21,2.877,2.877,48.219
  89 ,28,23,3.151,3.151,51.370
  90 ,29,24,3.288,3.288,54.658
  91 ,30,23,3.151,3.151,57.808
  92 ,31,14,1.918,1.918,59.726
  93 ,32,21,2.877,2.877,62.603
  94 ,33,21,2.877,2.877,65.479
  95 ,34,14,1.918,1.918,67.397
  96 ,35,14,1.918,1.918,69.315
  97 ,36,17,2.329,2.329,71.644
  98 ,37,11,1.507,1.507,73.151
  99 ,38,16,2.192,2.192,75.342
 100 ,39,14,1.918,1.918,77.260
 101 ,40,15,2.055,2.055,79.315
 102 ,41,14,1.918,1.918,81.233
 103 ,42,14,1.918,1.918,83.151
 104 ,43,8,1.096,1.096,84.247
 105 ,44,15,2.055,2.055,86.301
 106 ,45,10,1.370,1.370,87.671
 107 ,46,12,1.644,1.644,89.315
 108 ,47,13,1.781,1.781,91.096
 109 ,48,13,1.781,1.781,92.877
 110 ,49,5,.685,.685,93.562
 111 ,50,5,.685,.685,94.247
 112 ,51,3,.411,.411,94.658
 113 ,52,7,.959,.959,95.616
 114 ,53,6,.822,.822,96.438
 115 ,54,2,.274,.274,96.712
 116 ,55,2,.274,.274,96.986
 117 ,56,2,.274,.274,97.260
 118 ,57,3,.411,.411,97.671
 119 ,58,1,.137,.137,97.808
 120 ,59,3,.411,.411,98.219
 121 ,61,1,.137,.137,98.356
 122 ,62,3,.411,.411,98.767
 123 ,63,1,.137,.137,98.904
 124 ,64,1,.137,.137,99.041
 125 ,65,2,.274,.274,99.315
 126 ,70,1,.137,.137,99.452
 127 ,78,1,.137,.137,99.589
 128 ,79,1,.137,.137,99.726
 129 ,80,1,.137,.137,99.863
 130 ,94,1,.137,.137,100.000
 131 Total,,730,100.0,100.0,
 132
 133 Table: AVAR
 134 N,Valid,730
 135 ,Missing,0
 136 Mean,,31.515
 137 S.E. Mean,,.405
 138 Mode,,21.000
 139 Std Dev,,10.937
 140 Variance,,119.608
 141 Kurtosis,,2.411
 142 S.E. Kurt,,.181
 143 Skewness,,1.345
 144 S.E. Skew,,.090
 145 Range,,76.000
 146 Minimum,,18.000
 147 Maximum,,94.000
 148 Sum,,23006.00
 149 Percentiles,50 (Median),29
 150 ])
 151 AT_CLEANUP