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Aug 23rd, 2017
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  1. 1 13.7449 35.5070
  2. 2 13.8816 35.9064
  3. 3 13.9259 35.5089
  4. 4 14.0310 35.8797
  5. 5 13.6690 33.7623
  6. 6 13.7621 34.4974
  7. 7 13.6607 33.6500
  8. 8 13.7123 33.5097
  9. 9 13.8104 33.5731
  10. 10 13.8473 33.3820
  11. 11 13.9361 34.7384
  12. 12 13.7765 33.4982
  13. 13 13.7131 33.6539
  14. 14 13.9118 34.3749
  15. 15 14.0458 34.9202
  16. 16 13.7972 33.2319
  17. 17 13.7900 34.3764
  18. 18 13.9416 34.6578
  19. 19 13.8032 33.7831
  20. 20 13.7993 34.4847
  21. 21 13.8143 35.0178
  22. 22 13.9709 35.1260
  23. 23 14.1073 35.0835
  24. 24 14.4144 35.5049
  25. 25 14.4046 35.2827
  26. 26 14.5538 37.0519
  27. 27 14.5542 37.0251
  28. 28 14.5442 36.0764
  29. 29 14.6055 36.1236
  30. 30 14.5951 36.9840
  31. 31 14.8370 37.6942
  32. 32 14.5325 36.7857
  33. 33 14.5348 36.8611
  34. 34 14.7832 38.0085
  35. 35 15.0101 39.4358
  36. 36 14.9237 39.1048
  37. 37 14.6539 37.0730
  38. 38 14.9132 37.9733
  39. 39 14.8029 38.2543
  40. 40 14.8276 38.1984
  41.  
  42. ROGU = Import["RoGu.dat", "Table"];
  43. ROGU = Map[#[[2]] &, ROGU];
  44. {bins, counts} = HistogramList[{ROGU}, {8, 40, 2}, "Probability"];
  45. HistogramL[{ROGU}, {8, 40, 2}, "Probability"]
  46.  
  47. Histogram[
  48. data,
  49. Automatic,
  50. "Probability",
  51. ScalingFunctions -> {-Log[#] &, Exp[-#] &}
  52. ]
  53.  
  54. Histogram[RandomVariate[NormalDistribution[2, 1], 1000],
  55. Automatic,
  56. "Probability",
  57. ScalingFunctions -> {-Log[#] &, Exp[-#] &}
  58. ]
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