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[] Udemy - R Programming For Absolute Beginners

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文件列表

  1. 9. Working With Strings/9. Regular Expressions.mp4 32MB
  2. 1. Introduction/1. Introduction.mp4 26MB
  3. 2. Getting Started with R/2. The RStudio Interface.mp4 26MB
  4. 6. Factors/1. Working With Factors.mp4 24MB
  5. 9. Working With Strings/2. Printing Strings.mp4 22MB
  6. 9. Working With Strings/7. Functions for Finding Patterns in Strings.mp4 21MB
  7. 2. Getting Started with R/6. Working With Variables.mp4 21MB
  8. 8. Programming Structures/1. For Loops.mp4 20MB
  9. 4. Matrices and Arrays/10. Applying Functions to Matrices (2).mp4 20MB
  10. 4. Matrices and Arrays/4. Indexing Matrices.mp4 19MB
  11. 5. Lists/7. Applying Functions to Lists.mp4 18MB
  12. 3. Vectors/7. Indexing Vectors With Numeric Indices.mp4 18MB
  13. 2. Getting Started with R/1. Installing R and RStudio.mp4 17MB
  14. 3. Vectors/19. Testing Vector Equality.mp4 17MB
  15. 10. Plotting in Base R/3. Setting Graphical Parameters (2).mp4 17MB
  16. 9. Working With Strings/3. Concatenating Strings.mp4 16MB
  17. 10. Plotting in Base R/2. Setting Graphical Parameters (1).mp4 16MB
  18. 3. Vectors/4. Creating Vectors With the seq() Function.mp4 15MB
  19. 3. Vectors/5. Creating Vectors of Random Numbers.mp4 15MB
  20. 3. Vectors/10. Filtering Vectors.mp4 15MB
  21. 7. Data Frames/2. Loading Data Frames From External Files.mp4 15MB
  22. 4. Matrices and Arrays/7. Adding and Deleting Rows and Columns.mp4 15MB
  23. 8. Programming Structures/5. Conditional Statements.mp4 14MB
  24. 8. Programming Structures/8. User Defined Functions.mp4 14MB
  25. 4. Matrices and Arrays/1. Creating Matrices With the matrix() Function.mp4 14MB
  26. 5. Lists/1. Create Lists With the list() Function.mp4 14MB
  27. 10. Plotting in Base R/5. Building a Clustered Scatterplot.mp4 14MB
  28. 7. Data Frames/12. Sorting Data Frames.mp4 14MB
  29. 7. Data Frames/5. Indexing Data Frames As Matrices.mp4 14MB
  30. 3. Vectors/13. Vectorized Operations.mp4 13MB
  31. 3. Vectors/17. The ifelse() Function.mp4 13MB
  32. 9. Working With Strings/1. Creating Strings.mp4 13MB
  33. 4. Matrices and Arrays/14. Creating Multidimensional Arrays.mp4 13MB
  34. 5. Lists/8. Practical Example of List the Regression Analysis Output.mp4 13MB
  35. 8. Programming Structures/4. Nested For Loops.mp4 13MB
  36. 7. Data Frames/7. Filtering Data Frames.mp4 13MB
  37. 9. Working With Strings/5. String Manipulation (2).mp4 12MB
  38. 5. Lists/3. Indexing Lists With Brackets.mp4 12MB
  39. 7. Data Frames/9. Adding Rows and Columns to Data Frames.mp4 12MB
  40. 7. Data Frames/14. Merging Data Frames.mp4 12MB
  41. 3. Vectors/11. The Functions all() and any().mp4 12MB
  42. 7. Data Frames/1. Creating Data Frames.mp4 11MB
  43. 3. Vectors/1. Creating Vectors With the c() Function.mp4 11MB
  44. 10. Plotting in Base R/14. Plotting Pie Charts.mp4 11MB
  45. 7. Data Frames/11. Applying Functions to Data Frames.mp4 11MB
  46. 8. Programming Structures/2. While Loops.mp4 10MB
  47. 10. Plotting in Base R/7. Setting the Line Parameters.mp4 10MB
  48. 4. Matrices and Arrays/15. Indexing Multidimensional Arrays.mp4 10MB
  49. 10. Plotting in Base R/17. Exporting Charts.mp4 10MB
  50. 2. Getting Started with R/3. Installing and Activating R Packages.mp4 10MB
  51. 7. Data Frames/4. Indexing Data Frames As Lists.mp4 10MB
  52. 8. Programming Structures/13. Binary Operations.mp4 9MB
  53. 8. Programming Structures/10. More Complex Functions Examples.mp4 9MB
  54. 4. Matrices and Arrays/13. Other Matrix Operations.mp4 9MB
  55. 3. Vectors/3. Creating Vectors With the rep() Function.mp4 9MB
  56. 8. Programming Structures/9. The Return Command.mp4 9MB
  57. 4. Matrices and Arrays/8. Minima and Maxima in Matrices.mp4 9MB
  58. 4. Matrices and Arrays/5. Filtering Matrices.mp4 9MB
  59. 10. Plotting in Base R/15. Plotting Boxplot Charts.mp4 8MB
  60. 7. Data Frames/6. Selecting a Random Sample of Entries.mp4 8MB
  61. 4. Matrices and Arrays/11. Applying Functions to Matrices (3).mp4 8MB
  62. 7. Data Frames/3. Writing Data Frames in External Files.mp4 8MB
  63. 8. Programming Structures/12. A Custom Function That Solves Quadratic Equations.mp4 8MB
  64. 8. Programming Structures/7. Loops and Conditional Statements.mp4 8MB
  65. 3. Vectors/20. Vector Correlation.mp4 7MB
  66. 3. Vectors/2. Creating Vectors Using the Colon Operator.mp4 7MB
  67. 5. Lists/4. Indexing Lists Using Objects Names.mp4 7MB
  68. 10. Plotting in Base R/9. Plotting Two Lines in the Same Chart.mp4 7MB
  69. 7. Data Frames/8. Editing Values in Data Frames.mp4 7MB
  70. 9. Working With Strings/4. String Manipulation (1).mp4 7MB
  71. 6. Factors/2. Splitting a Vector By a Factor Levels.mp4 7MB
  72. 5. Lists/6. Adding and Removing List Objects.mp4 7MB
  73. 3. Vectors/15. Sorting Vectors.mp4 7MB
  74. 10. Plotting in Base R/12. Plotting Histograms.mp4 7MB
  75. 8. Programming Structures/11. Checking Whether an Integer Is a Perfect Square.mp4 7MB
  76. 4. Matrices and Arrays/9. Applying Functions to Matrices (1).mp4 6MB
  77. 10. Plotting in Base R/8. Overplotting Lines and Dots.mp4 6MB
  78. 4. Matrices and Arrays/2. Creating Matrices With the rbind() and cbind() Functions.mp4 6MB
  79. 10. Plotting in Base R/1. Building Scatterplot Charts.mp4 6MB
  80. 10. Plotting in Base R/10. Plotting Bar Charts.mp4 6MB
  81. 3. Vectors/14. Treating Missing Values in Vectors.mp4 6MB
  82. 4. Matrices and Arrays/6. Editing Values in Matrices.mp4 6MB
  83. 4. Matrices and Arrays/12. Adding and Multiplying Matrices.mp4 6MB
  84. 10. Plotting in Base R/13. Plotting Density Lines.mp4 6MB
  85. 3. Vectors/6. Creating Empty Vectors.mp4 6MB
  86. 2. Getting Started with R/5. Basic Operations in R.mp4 6MB
  87. 7. Data Frames/10. Naming Rows and Columns in Data Frames.mp4 6MB
  88. 6. Factors/3. The tapply() Function.mp4 6MB
  89. 6. Factors/4. The by() Function.mp4 6MB
  90. 3. Vectors/18. Adding and Multiplying Vectors.mp4 6MB
  91. 8. Programming Structures/3. Repeat Loops.mp4 6MB
  92. 3. Vectors/12. Sum and Product of Vector Components.vtt 5MB
  93. 3. Vectors/12. Sum and Product of Vector Components.mp4 5MB
  94. 5. Lists/5. Editing Values in Lists.mp4 5MB
  95. 2. Getting Started with R/4. Setting the Working Directory.mp4 5MB
  96. 4. Matrices and Arrays/3. Naming Matrix Rows and Columns.mp4 5MB
  97. 10. Plotting in Base R/16. Plotting Functions.mp4 5MB
  98. 10. Plotting in Base R/11. Setting the Bar Parameters.mp4 5MB
  99. 8. Programming Structures/6. Nested Conditional Statements.mp4 4MB
  100. 9. Working With Strings/8. Functions for Replacing Patterns in Strings.mp4 4MB
  101. 9. Working With Strings/6. String Manipulation (3).mp4 4MB
  102. 10. Plotting in Base R/6. Plotting a Line Chart.mp4 4MB
  103. 3. Vectors/16. Minimum and Maximum Values.mp4 4MB
  104. 5. Lists/2. Create Lists With the vector() Function.mp4 4MB
  105. 7. Data Frames/13. Shuffling Data Frames.mp4 4MB
  106. 3. Vectors/9. Naming Vector Components.mp4 4MB
  107. 10. Plotting in Base R/4. Adding a Trend Line to a Scatterplot.mp4 3MB
  108. 3. Vectors/8. Indexing Vectors With Logical Indices.mp4 3MB
  109. 8. Programming Structures/14.1 ex_6_structures.pdf.pdf 125KB
  110. 3. Vectors/22.1 ex_1_vectors.pdf.pdf 88KB
  111. 9. Working With Strings/10.1 ex_7_strings.pdf.pdf 84KB
  112. 10. Plotting in Base R/19.1 ex_8_plotting.pdf.pdf 82KB
  113. 5. Lists/10.1 ex_3_lists.pdf.pdf 74KB
  114. 6. Factors/5.1 ex_4_factors.pdf.pdf 73KB
  115. 3. Vectors/21.1 Vector correlation next.pptx.pptx 64KB
  116. 10. Plotting in Base R/18.1 Plotting next.pptx.pptx 53KB
  117. 5. Lists/9.1 List practical example next.pptx.pptx 53KB
  118. 7. Data Frames/15.1 ex_5_dataframes.pdf.pdf 24KB
  119. 4. Matrices and Arrays/16.1 ex_2_matrices.pdf.pdf 24KB
  120. 9. Working With Strings/9. Regular Expressions.vtt 14KB
  121. 2. Getting Started with R/2. The RStudio Interface.vtt 11KB
  122. 6. Factors/1. Working With Factors.vtt 10KB
  123. 9. Working With Strings/2. Printing Strings.vtt 10KB
  124. 9. Working With Strings/7. Functions for Finding Patterns in Strings.vtt 10KB
  125. 8. Programming Structures/1. For Loops.vtt 9KB
  126. 2. Getting Started with R/6. Working With Variables.vtt 9KB
  127. 4. Matrices and Arrays/10. Applying Functions to Matrices (2).vtt 9KB
  128. 3. Vectors/7. Indexing Vectors With Numeric Indices.vtt 8KB
  129. 4. Matrices and Arrays/4. Indexing Matrices.vtt 8KB
  130. 3. Vectors/19. Testing Vector Equality.vtt 8KB
  131. 5. Lists/7. Applying Functions to Lists.vtt 8KB
  132. 3. Vectors/5. Creating Vectors of Random Numbers.vtt 7KB
  133. 9. Working With Strings/3. Concatenating Strings.vtt 7KB
  134. 8. Programming Structures/8. User Defined Functions.vtt 7KB
  135. 9. Working With Strings/1. Creating Strings.vtt 6KB
  136. 8. Programming Structures/5. Conditional Statements.vtt 6KB
  137. 5. Lists/1. Create Lists With the list() Function.vtt 6KB
  138. 10. Plotting in Base R/2. Setting Graphical Parameters (1).vtt 6KB
  139. 3. Vectors/10. Filtering Vectors.vtt 6KB
  140. 5. Lists/8. Practical Example of List the Regression Analysis Output.vtt 6KB
  141. 4. Matrices and Arrays/1. Creating Matrices With the matrix() Function.vtt 6KB
  142. 4. Matrices and Arrays/7. Adding and Deleting Rows and Columns.vtt 6KB
  143. 3. Vectors/4. Creating Vectors With the seq() Function.vtt 6KB
  144. 7. Data Frames/2. Loading Data Frames From External Files.vtt 6KB
  145. 3. Vectors/17. The ifelse() Function.vtt 6KB
  146. 7. Data Frames/12. Sorting Data Frames.vtt 6KB
  147. 3. Vectors/13. Vectorized Operations.vtt 6KB
  148. 5. Lists/3. Indexing Lists With Brackets.vtt 6KB
  149. 8. Programming Structures/4. Nested For Loops.vtt 6KB
  150. 7. Data Frames/5. Indexing Data Frames As Matrices.vtt 6KB
  151. 4. Matrices and Arrays/14. Creating Multidimensional Arrays.vtt 6KB
  152. 9. Working With Strings/5. String Manipulation (2).vtt 6KB
  153. 10. Plotting in Base R/5. Building a Clustered Scatterplot.vtt 5KB
  154. 10. Plotting in Base R/3. Setting Graphical Parameters (2).vtt 5KB
  155. 3. Vectors/11. The Functions all() and any().vtt 5KB
  156. 8. Programming Structures/2. While Loops.vtt 5KB
  157. 7. Data Frames/1. Creating Data Frames.vtt 5KB
  158. 7. Data Frames/14. Merging Data Frames.vtt 5KB
  159. 7. Data Frames/9. Adding Rows and Columns to Data Frames.vtt 5KB
  160. 7. Data Frames/7. Filtering Data Frames.vtt 5KB
  161. 3. Vectors/1. Creating Vectors With the c() Function.vtt 5KB
  162. 7. Data Frames/11. Applying Functions to Data Frames.vtt 5KB
  163. 2. Getting Started with R/1. Installing R and RStudio.vtt 5KB
  164. 8. Programming Structures/13. Binary Operations.vtt 5KB
  165. 4. Matrices and Arrays/15. Indexing Multidimensional Arrays.vtt 4KB
  166. 8. Programming Structures/10. More Complex Functions Examples.vtt 4KB
  167. 10. Plotting in Base R/14. Plotting Pie Charts.vtt 4KB
  168. 4. Matrices and Arrays/13. Other Matrix Operations.vtt 4KB
  169. 1. Introduction/1. Introduction.vtt 4KB
  170. 8. Programming Structures/9. The Return Command.vtt 4KB
  171. 7. Data Frames/4. Indexing Data Frames As Lists.vtt 4KB
  172. 4. Matrices and Arrays/5. Filtering Matrices.vtt 4KB
  173. 4. Matrices and Arrays/8. Minima and Maxima in Matrices.vtt 4KB
  174. 2. Getting Started with R/3. Installing and Activating R Packages.vtt 4KB
  175. 3. Vectors/20. Vector Correlation.vtt 4KB
  176. 3. Vectors/3. Creating Vectors With the rep() Function.vtt 4KB
  177. 4. Matrices and Arrays/11. Applying Functions to Matrices (3).vtt 4KB
  178. 3. Vectors/2. Creating Vectors Using the Colon Operator.vtt 3KB
  179. 9. Working With Strings/4. String Manipulation (1).vtt 3KB
  180. 8. Programming Structures/12. A Custom Function That Solves Quadratic Equations.vtt 3KB
  181. 8. Programming Structures/7. Loops and Conditional Statements.vtt 3KB
  182. 10. Plotting in Base R/7. Setting the Line Parameters.vtt 3KB
  183. 10. Plotting in Base R/15. Plotting Boxplot Charts.vtt 3KB
  184. 6. Factors/2. Splitting a Vector By a Factor Levels.vtt 3KB
  185. 7. Data Frames/3. Writing Data Frames in External Files.vtt 3KB
  186. 5. Lists/4. Indexing Lists Using Objects Names.vtt 3KB
  187. 7. Data Frames/6. Selecting a Random Sample of Entries.vtt 3KB
  188. 10. Plotting in Base R/17. Exporting Charts.vtt 3KB
  189. 8. Programming Structures/11. Checking Whether an Integer Is a Perfect Square.vtt 3KB
  190. 10. Plotting in Base R/9. Plotting Two Lines in the Same Chart.vtt 3KB
  191. 4. Matrices and Arrays/2. Creating Matrices With the rbind() and cbind() Functions.vtt 3KB
  192. 4. Matrices and Arrays/9. Applying Functions to Matrices (1).vtt 3KB
  193. 10. Plotting in Base R/12. Plotting Histograms.vtt 3KB
  194. 10. Plotting in Base R/1. Building Scatterplot Charts.vtt 3KB
  195. 3. Vectors/14. Treating Missing Values in Vectors.vtt 3KB
  196. 5. Lists/6. Adding and Removing List Objects.vtt 3KB
  197. 3. Vectors/15. Sorting Vectors.vtt 3KB
  198. 7. Data Frames/8. Editing Values in Data Frames.vtt 3KB
  199. 3. Vectors/18. Adding and Multiplying Vectors.vtt 3KB
  200. 6. Factors/3. The tapply() Function.vtt 3KB
  201. 3. Vectors/6. Creating Empty Vectors.vtt 3KB
  202. 6. Factors/4. The by() Function.vtt 3KB
  203. 8. Programming Structures/3. Repeat Loops.vtt 3KB
  204. 4. Matrices and Arrays/12. Adding and Multiplying Matrices.vtt 3KB
  205. 4. Matrices and Arrays/6. Editing Values in Matrices.vtt 2KB
  206. 4. Matrices and Arrays/3. Naming Matrix Rows and Columns.vtt 2KB
  207. 7. Data Frames/10. Naming Rows and Columns in Data Frames.vtt 2KB
  208. 10. Plotting in Base R/10. Plotting Bar Charts.vtt 2KB
  209. 2. Getting Started with R/5. Basic Operations in R.vtt 2KB
  210. 5. Lists/5. Editing Values in Lists.vtt 2KB
  211. 10. Plotting in Base R/13. Plotting Density Lines.vtt 2KB
  212. 10. Plotting in Base R/8. Overplotting Lines and Dots.vtt 2KB
  213. 8. Programming Structures/6. Nested Conditional Statements.vtt 2KB
  214. 10. Plotting in Base R/16. Plotting Functions.vtt 2KB
  215. 9. Working With Strings/8. Functions for Replacing Patterns in Strings.vtt 2KB
  216. 10. Plotting in Base R/11. Setting the Bar Parameters.vtt 2KB
  217. 9. Working With Strings/6. String Manipulation (3).vtt 2KB
  218. 2. Getting Started with R/4. Setting the Working Directory.vtt 2KB
  219. 3. Vectors/16. Minimum and Maximum Values.vtt 2KB
  220. 7. Data Frames/13. Shuffling Data Frames.vtt 2KB
  221. 10. Plotting in Base R/6. Plotting a Line Chart.vtt 2KB
  222. 5. Lists/2. Create Lists With the vector() Function.vtt 2KB
  223. 3. Vectors/9. Naming Vector Components.vtt 2KB
  224. 10. Plotting in Base R/4. Adding a Trend Line to a Scatterplot.vtt 1KB
  225. 3. Vectors/8. Indexing Vectors With Logical Indices.vtt 1KB
  226. 10. Plotting in Base R/18. Bonus Lecture More Advanced Plotting.html 230B
  227. 11. Download Links/1. R Files and Data Frames.html 204B
  228. 8. Programming Structures/14. Practical Exercises.html 141B
  229. 3. Vectors/21. Bonus Lecture Learn Statistics with R.html 137B
  230. 5. Lists/9. Bonus Lecture Data Analysis in R.html 137B
  231. 4. Matrices and Arrays/16. Practical Exercises.html 134B
  232. 7. Data Frames/15. Practical Exercises.html 127B
  233. 3. Vectors/22. Practical Exercises.html 122B
  234. 6. Factors/5. Practical Exercises.html 122B
  235. 9. Working With Strings/10. Practical Exercises.html 122B
  236. 5. Lists/10. Practical Exercises.html 120B
  237. 10. Plotting in Base R/19. Practical Exercises.html 110B
  238. [DesireCourse.Com].url 51B