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Jul 26th, 2016
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  1. my_df <- structure(list(Group = c(1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2,
  2. 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2,
  3. 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2,
  4. 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 2,
  5. 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1,
  6. 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  7. 2, 2, 1), Status = c("Before", "Before", "Before", "Before",
  8. "Before", "Before", "Before", "Before", "Before", "Before", "Before",
  9. "Before", "Before", "Before", "Before", "Before", "Before", "Before",
  10. "Before", "Before", "Before", "Before", "Before", "Before", "Before",
  11. "Before", "Before", "Before", "Before", "Before", "Before", "Before",
  12. "Before", "Before", "Before", "Before", "Before", "Before", "Before",
  13. "Before", "Before", "Before", "Before", "Before", "Before", "Before",
  14. "Before", "Before", "Before", "Before", "Before", "After", "After",
  15. "After", "After", "After", "After", "After", "Before", "After",
  16. "Before", "Before", "Before", "After", "After", "After", "After",
  17. "After", "After", "After", "After", "After", "After", "After",
  18. "After", "After", "After", "After", "After", "After", "After",
  19. "After", "After", "After", "After", "After", "After", "After",
  20. "After", "After", "After", "After", "After", "After", "After",
  21. "After", "After", "After", "After", "After", "After", "After",
  22. "After", "After", "After", "After", "After", "After", "After",
  23. "After", "After", "After", "After", "After", "After", "After",
  24. "After", "After", "After", "After"), Result = c(2.39000010490417,
  25. 2.00999999046326, 2.26999998092651, 2.4300000667572, 4.19999980926514,
  26. 4.01999998092651, 4.26999998092651, 4.01999998092651, 4.1399998664856,
  27. 4.05000019073486, 4.30999994277954, 4.01999998092651, 4.01999998092651,
  28. 2.47000002861023, 2.25, 2.39000010490417, 4.28999996185303, 4.09000015258789,
  29. 4.1399998664856, 4, 4.23999977111816, 4.17000007629395, 4.21000003814697,
  30. 4.1399998664856, 4.57999992370605, 2.24000000953674, 2.44000005722046,
  31. 2.42000007629395, 3.83999991416931, 4.01000022888184, 3.75, 4.01000022888184,
  32. 3.78999996185303, 3.85999989509583, 3.94000005722046, 3.96000003814697,
  33. 4.17000007629395, 4, 4.32000017166138, 4.07999992370605, 2.46000003814697,
  34. 2.60999989509583, 2.23000001907349, 2.13000011444092, 4.46999979019165,
  35. 4.09000015258789, 4.1100001335144, 4.17000007629395, 3.86999988555908,
  36. 4.5, 3.9300000667572, 2.15000009536743, 2.35999989509583, 4.46999979019165,
  37. 4.48000001907349, 4.3600001335144, 4.19000005722046, 4.28000020980835,
  38. 4.82999992370605, 4.15000009536743, 4.42000007629395, 4.15000009536743,
  39. 4.19999980926514, 4.44000005722046, 4.21999979019165, 4.38000011444092,
  40. 3.94000005722046, 4.57000017166138, 2.32999992370605, 2.44000005722046,
  41. 2.09999990463257, 2.17000007629395, 2.17000007629395, 2.61999988555908,
  42. 4.09999990463257, 3.85999989509583, 4.15999984741211, 4.19000005722046,
  43. 4.09999990463257, 3.97000002861023, 4.19999980926514, 4.32999992370605,
  44. 4.07999992370605, 3.8199999332428, 4.01999998092651, 4.15999984741211,
  45. 3.9300000667572, 4.1399998664856, 3.77999997138977, 4.11999988555908,
  46. 4.53999996185303, 4.07000017166138, 2.54999995231628, 2.50999999046326,
  47. 2.4300000667572, 2.32999992370605, 3.85999989509583, 3.92000007629395,
  48. 4.3600001335144, 4.30000019073486, 4.34000015258789, 4.1399998664856,
  49. 4.25, 4.13000011444092, 4.03999996185303, 4.26999998092651, 4.32000017166138,
  50. 4.11999988555908, 4.05000019073486, 4.44000005722046, 4.1100001335144,
  51. 4.19000005722046, 4.28000020980835, 4.51999998092651, 4.07999992370605,
  52. 4.07000017166138, 4.05000019073486, 4.46000003814697, 4.05000019073486,
  53. 2.52999997138977)), class = "data.frame", row.names = c(NA, -120L
  54. ), .Names = c("Group", "Status", "Result"))
  55.  
  56. my_df %>%
  57. ggplot() +
  58. geom_density(aes(Result, fill=Status), alpha=.3)
  59.  
  60. my_df %>%
  61. filter(Group == 1) %>%
  62. ggplot() +
  63. geom_density(aes(Result, fill=Status), alpha=.3)
  64.  
  65. my_df %>%
  66. filter(Group == 2) %>%
  67. ggplot() +
  68. geom_density(aes(Result, fill=Status), alpha=.3)
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