学习R语言(影印版)
Richard Cotton
出版时间:2014年06月
页数:377
“拥挤的R语言书籍领域现在有了一本全新的、大胆的、有趣的……令人愉悦且信息量极大的书。”
——John Verzani,纽约市立大学/Staten Island大学
“一本绝妙的读本——易于理解,具有大量清晰可行的实例。是当前讲解R语言核心组件的最佳书籍之一。”
——Rebecca Smith,TDX Group的分析部门经理
“这就是你要寻找的R语言书籍!不要再犹豫了,直接买下它吧。”
——JD Long,CerebralMastication.com的博主
  1. preface
  2. part i. the r language
  3. 1. introduction
  4. chapter goals
  5. what is r
  6. installing r
  7. choosing an ide
  8. emacs + ess
  9. eclipse/architect
  10. rstudio
  11. revolution-r
  12. live-r
  13. other ides and editors
  14. your first program
  15. how to get help in r
  16. installing extra related software
  17. summary
  18. test your knowledge: quiz
  19. test your knowledge: exercises
  20. 2. a scientific calculator
  21. chapter goals
  22. mathematical operations and vectors
  23. assigning variables
  24. special numbers
  25. logical vectors
  26. summary
  27. test your knowledge: quiz
  28. test your knowledge: exercises
  29. 3. inspecting variables and your workspace
  30. chapter goals
  31. classes
  32. different types of numbers
  33. other common classes
  34. checking and changing classes
  35. examining variables
  36. the work, space
  37. summary
  38. test your knowledge: quiz
  39. test your knowledge: exercises
  40. 4. vectors, matrices, and arrays
  41. chapter goals
  42. vectors
  43. sequences
  44. lengths
  45. names
  46. indexing vectors
  47. vector recycling and repetition
  48. matrices and arrays
  49. creating arrays and matrices
  50. rows, columns, and dimensions
  51. row, column, and dimension names
  52. indexing arrays
  53. combining matrices
  54. array arithmetic
  55. summary
  56. test your knowledge: quiz
  57. test your knowledge: exercises
  58. 5. lists and data frames
  59. chapter goals
  60. lists
  61. creating lists
  62. atomic and recursive variables
  63. list dimensions and arithmetic
  64. indexing lists
  65. converting between vectors and lists
  66. ……
  67. 6. environments and functions
  68. 7. strings and factors
  69. 8. flow control and loops
  70. 9. advanced looping
  71. 10. packages
  72. 11. dates and times
  73. part ii. the data analysis workflow
  74. 12. getting data
  75. 13. cleaning and transforming
  76. 14. exploring and visualizing
  77. 15. distributions and modeling
  78. 16. programming
  79. 17. making packages
  80. part iii. appendixes
  81. a. properties of variables
  82. b. other things to do in r
  83. c. answers to quizzes
  84. d. solutions to exercises
  85. bibliography
  86. index
书名:学习R语言(影印版)
作者:Richard Cotton
国内出版社:东南大学出版社
出版时间:2014年06月
页数:377
书号:978-7-5641-4906-2
原版书书名:Learning R
原版书出版商:O'Reilly Media
Richard Cotton
 
Richard Cotton,是一位通晓化学安全及健康的数据科学家,开发过很多能让非专业用户访问统计模型的工具。他开发了很多R包,如assertive(用于检查变量的状态)和sig(用于确保功能具有合理的API)。他也是The Damned Liars公司的统计学顾问。
刘军,爱立信研发项目经理,2005年起从事无线网络嵌入式软件开发,后转入项目管理。爱技术,爱管理,也热衷于各种数据分析,Excel/matlab/origin玩得烂熟,最近开女台迷上Hadoop和R。