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Feb 12th, 2016
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  1. DATA sample;
  2. INPUT id race;
  3. DATALINES;
  4. 1 1
  5. 2 1
  6. 3 2
  7. 4 3
  8. 5 1
  9. 6 2
  10. 7 4
  11. 8 3
  12. 9 1
  13. ;
  14. RUN;
  15.  
  16. PROC FORMAT;
  17. VALUE raceft 1 = 'White'
  18. 2 = 'Black'
  19. 3 = 'Asian'
  20. 4 = 'Other';
  21. RUN;
  22.  
  23. PROC PRINT DATA=sample;
  24. FORMAT race raceft.;
  25. RUN;
  26.  
  27. Obs id race
  28. 1 1 White
  29. 2 2 White
  30. 3 3 Black
  31. 4 4 Asian
  32. 5 5 White
  33. 6 6 Black
  34. 7 7 Other
  35. 8 8 Asian
  36. 9 9 White
  37.  
  38. sample <- data.frame(id = c(1:9),
  39. race = c(1,1,2,3,1,2,4,3,1))
  40. sample$race <- factor(x = sample$race,
  41. levels = c(1:4),
  42. labels = c("White","Black","Asian","Other"))
  43.  
  44. > sample
  45. id race
  46. 1 1 White
  47. 2 2 White
  48. 3 3 Black
  49. 4 4 Asian
  50. 5 5 White
  51. 6 6 Black
  52. 7 7 Other
  53. 8 8 Asian
  54. 9 9 White
  55.  
  56. > dput(sample$race)
  57. structure(c(1L, 1L, 2L, 3L, 1L, 2L, 4L, 3L, 1L), .Label = c("White","Black", "Asian", "Other"), class = "factor")
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