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[] Udemy - Applied Statistical Modeling for Data Analysis in R

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文件列表

  1. 2. Section 2 The Essentials of the R Programming Language/7. Exploratory Data Analysis in R.mp4 48MB
  2. 6. Relationship Between Two Different Quantitative Variables/2. Correlation.mp4 43MB
  3. 2. Section 2 The Essentials of the R Programming Language/4. Reading in Data from Different Sources.mp4 43MB
  4. 2. Section 2 The Essentials of the R Programming Language/6. Data Cleaning Removing Missing Values.mp4 41MB
  5. 7. Other Types of Regression/7. Logistic Regression in R.mp4 39MB
  6. 6. Relationship Between Two Different Quantitative Variables/6. Dealing with Multi-collinearity.mp4 38MB
  7. 7. Other Types of Regression/2. Other Regression Techniques When Conditions of OLS Are Not Met.mp4 38MB
  8. 7. Other Types of Regression/5. Linear Mixed Effect Models.mp4 38MB
  9. 6. Relationship Between Two Different Quantitative Variables/9. Linear Regression With Categorical Variables and Interaction Terms.mp4 38MB
  10. 3. Statistical Tools to Learn More About Your Data/5. Charting & Graphing Discrete Data.mp4 36MB
  11. 8. Multivariate Analysis/2. Cluster AnalysisUnsupervised Learning.mp4 35MB
  12. 6. Relationship Between Two Different Quantitative Variables/4. Linear Regression-Implementation in R.mp4 34MB
  13. 6. Relationship Between Two Different Quantitative Variables/11. Selecting the Most Suitable Regression Model.mp4 33MB
  14. 6. Relationship Between Two Different Quantitative Variables/7. What More Does the Regression Model Tell Us.mp4 32MB
  15. 2. Section 2 The Essentials of the R Programming Language/3. Different Data Structures in R.mp4 31MB
  16. 6. Relationship Between Two Different Quantitative Variables/5. The Conditions of Linear Regression.mp4 31MB
  17. 8. Multivariate Analysis/4. Linear Discriminant Analysis (LDA).mp4 30MB
  18. 9. Miscellaneous Lectures & Information/2. Read in Data from Online HTML Tables-Part 2.mp4 30MB
  19. 8. Multivariate Analysis/3. Principal Component Analysis (PCA).mp4 30MB
  20. 7. Other Types of Regression/1. Violation of Linear Regression Conditions Transform Variables.mp4 29MB
  21. 1. Introduction to the Basics of Applied Statistical Modelling/1. Introduction to the Instructor and Course.mp4 29MB
  22. 2. Section 2 The Essentials of the R Programming Language/5. Indexing and Subsetting of Data.mp4 29MB
  23. 7. Other Types of Regression/3. Model 2 Regression Standardized Major Axis (SMA) Regression.mp4 28MB
  24. 2. Section 2 The Essentials of the R Programming Language/2. Introduction to the R Statistical Software & R Studio.mp4 28MB
  25. 5. Statistical Inference/2. T-tests Application in R.mp4 26MB
  26. 1. Introduction to the Basics of Applied Statistical Modelling/3. Statistics in the Real World.mp4 25MB
  27. 6. Relationship Between Two Different Quantitative Variables/3. Linear Regression-Theory.mp4 25MB
  28. 7. Other Types of Regression/4. Polynomial and Non-linear regression.mp4 24MB
  29. 8. Multivariate Analysis/5. Correspondence Analysis.mp4 23MB
  30. 3. Statistical Tools to Learn More About Your Data/6. Deriving Insights from QualitativeNominal Data.mp4 21MB
  31. 1. Introduction to the Basics of Applied Statistical Modelling/4. Designing Studies & Collecting Good Quality Data.mp4 21MB
  32. 5. Statistical Inference/7. Power Test for Detecting Effect.mp4 20MB
  33. 8. Multivariate Analysis/6. Similarity & Dissimilarity Across Sites.mp4 20MB
  34. 3. Statistical Tools to Learn More About Your Data/4. Charting & Graphing Continuous Data.mp4 18MB
  35. 6. Relationship Between Two Different Quantitative Variables/10. Analysis of Covariance (ANCOVA).mp4 18MB
  36. 3. Statistical Tools to Learn More About Your Data/2. Measures of Center.mp4 17MB
  37. 5. Statistical Inference/4. One-way ANOVA.mp4 16MB
  38. 5. Statistical Inference/6. Two-way ANOVA.mp4 14MB
  39. 7. Other Types of Regression/8. Poisson Regression in R.mp4 14MB
  40. 4. Probability Distributions/5. Confidence Interval-Theory.mp4 14MB
  41. 5. Statistical Inference/1. What is Hypothesis Testing.mp4 13MB
  42. 5. Statistical Inference/3. Non-Parametric Alternatives to T-Tests.mp4 13MB
  43. 4. Probability Distributions/3. Checking For Normal Distribution.mp4 13MB
  44. 3. Statistical Tools to Learn More About Your Data/3. Measures of Variation.mp4 13MB
  45. 7. Other Types of Regression/6. Generalized Regression Model (GLM).mp4 12MB
  46. 9. Miscellaneous Lectures & Information/1. Exploratory Data Analysis With xda.mp4 11MB
  47. 8. Multivariate Analysis/7. Non-metric multi dimensional scaling (NMDS).mp4 11MB
  48. 8. Multivariate Analysis/8. Multivariate Analysis of Variance (MANOVA).mp4 10MB
  49. 4. Probability Distributions/6. Confidence Interval-Computation in R.mp4 10MB
  50. 4. Probability Distributions/4. Standard Normal Distribution and Z-scores.mp4 10MB
  51. 4. Probability Distributions/2. Data Distribution Normal Distribution.mp4 10MB
  52. 6. Relationship Between Two Different Quantitative Variables/1. Explore the Relationship Between Two Quantitative Variables.mp4 9MB
  53. 1. Introduction to the Basics of Applied Statistical Modelling/5. Different Types of Data.mp4 9MB
  54. 7. Other Types of Regression/9. Goodness of fit testing.mp4 9MB
  55. 1. Introduction to the Basics of Applied Statistical Modelling/6. Conclusion to Section 1.mp4 9MB
  56. 4. Probability Distributions/1. Background.mp4 8MB
  57. 8. Multivariate Analysis/1. Why Do Multivariate Analysis.mp4 8MB
  58. 7. Other Types of Regression/10. Conclusions to Section 7.mp4 8MB
  59. 6. Relationship Between Two Different Quantitative Variables/8. Linear Regression and ANOVA.mp4 7MB
  60. 8. Multivariate Analysis/9. Conclusions to Section 8.mp4 6MB
  61. 5. Statistical Inference/5. Non-parametric version of One-way ANOVA.mp4 6MB
  62. 5. Statistical Inference/8. Conclusions to Section 5.mp4 5MB
  63. 2. Section 2 The Essentials of the R Programming Language/8. Conclusion to Section 2.mp4 5MB
  64. 6. Relationship Between Two Different Quantitative Variables/12. Conclusions to Section 6.mp4 5MB
  65. 3. Statistical Tools to Learn More About Your Data/7. Conclusions to Section 3.mp4 5MB
  66. 4. Probability Distributions/7. Conclusions to Section 4.mp4 3MB
  67. 1. Introduction to the Basics of Applied Statistical Modelling/2.1 Script4Lectures.zip.zip 112KB
  68. 7. Other Types of Regression/3. Model 2 Regression Standardized Major Axis (SMA) Regression.mp4.jpg 82KB
  69. 6. Relationship Between Two Different Quantitative Variables/2. Correlation.vtt 18KB
  70. 2. Section 2 The Essentials of the R Programming Language/7. Exploratory Data Analysis in R.vtt 18KB
  71. 6. Relationship Between Two Different Quantitative Variables/6. Dealing with Multi-collinearity.vtt 16KB
  72. 7. Other Types of Regression/7. Logistic Regression in R.vtt 15KB
  73. 2. Section 2 The Essentials of the R Programming Language/6. Data Cleaning Removing Missing Values.vtt 15KB
  74. 6. Relationship Between Two Different Quantitative Variables/4. Linear Regression-Implementation in R.vtt 15KB
  75. 6. Relationship Between Two Different Quantitative Variables/9. Linear Regression With Categorical Variables and Interaction Terms.vtt 14KB
  76. 2. Section 2 The Essentials of the R Programming Language/4. Reading in Data from Different Sources.vtt 14KB
  77. 7. Other Types of Regression/2. Other Regression Techniques When Conditions of OLS Are Not Met.vtt 14KB
  78. 2. Section 2 The Essentials of the R Programming Language/3. Different Data Structures in R.vtt 14KB
  79. 3. Statistical Tools to Learn More About Your Data/5. Charting & Graphing Discrete Data.vtt 13KB
  80. 8. Multivariate Analysis/3. Principal Component Analysis (PCA).vtt 13KB
  81. 6. Relationship Between Two Different Quantitative Variables/7. What More Does the Regression Model Tell Us.vtt 13KB
  82. 8. Multivariate Analysis/2. Cluster AnalysisUnsupervised Learning.vtt 12KB
  83. 6. Relationship Between Two Different Quantitative Variables/5. The Conditions of Linear Regression.vtt 12KB
  84. 7. Other Types of Regression/5. Linear Mixed Effect Models.vtt 12KB
  85. 6. Relationship Between Two Different Quantitative Variables/11. Selecting the Most Suitable Regression Model.vtt 12KB
  86. 7. Other Types of Regression/1. Violation of Linear Regression Conditions Transform Variables.vtt 12KB
  87. 8. Multivariate Analysis/4. Linear Discriminant Analysis (LDA).vtt 11KB
  88. 2. Section 2 The Essentials of the R Programming Language/5. Indexing and Subsetting of Data.vtt 11KB
  89. 5. Statistical Inference/2. T-tests Application in R.vtt 11KB
  90. 2. Section 2 The Essentials of the R Programming Language/2. Introduction to the R Statistical Software & R Studio.vtt 11KB
  91. 1. Introduction to the Basics of Applied Statistical Modelling/1. Introduction to the Instructor and Course.vtt 11KB
  92. 7. Other Types of Regression/3. Model 2 Regression Standardized Major Axis (SMA) Regression.vtt 11KB
  93. 6. Relationship Between Two Different Quantitative Variables/3. Linear Regression-Theory.vtt 10KB
  94. 7. Other Types of Regression/4. Polynomial and Non-linear regression.vtt 10KB
  95. 1. Introduction to the Basics of Applied Statistical Modelling/3. Statistics in the Real World.vtt 10KB
  96. 1. Introduction to the Basics of Applied Statistical Modelling/4. Designing Studies & Collecting Good Quality Data.vtt 9KB
  97. 8. Multivariate Analysis/5. Correspondence Analysis.vtt 9KB
  98. 3. Statistical Tools to Learn More About Your Data/2. Measures of Center.vtt 8KB
  99. 3. Statistical Tools to Learn More About Your Data/6. Deriving Insights from QualitativeNominal Data.vtt 8KB
  100. 5. Statistical Inference/7. Power Test for Detecting Effect.vtt 8KB
  101. 5. Statistical Inference/4. One-way ANOVA.vtt 7KB
  102. 3. Statistical Tools to Learn More About Your Data/4. Charting & Graphing Continuous Data.vtt 7KB
  103. 6. Relationship Between Two Different Quantitative Variables/10. Analysis of Covariance (ANCOVA).vtt 7KB
  104. 8. Multivariate Analysis/6. Similarity & Dissimilarity Across Sites.vtt 7KB
  105. 9. Miscellaneous Lectures & Information/2. Read in Data from Online HTML Tables-Part 2.vtt 7KB
  106. 4. Probability Distributions/3. Checking For Normal Distribution.vtt 6KB
  107. 7. Other Types of Regression/8. Poisson Regression in R.vtt 6KB
  108. 4. Probability Distributions/5. Confidence Interval-Theory.vtt 6KB
  109. 5. Statistical Inference/1. What is Hypothesis Testing.vtt 6KB
  110. 3. Statistical Tools to Learn More About Your Data/3. Measures of Variation.vtt 6KB
  111. 5. Statistical Inference/6. Two-way ANOVA.vtt 5KB
  112. 5. Statistical Inference/3. Non-Parametric Alternatives to T-Tests.vtt 5KB
  113. 7. Other Types of Regression/6. Generalized Regression Model (GLM).vtt 5KB
  114. 4. Probability Distributions/6. Confidence Interval-Computation in R.vtt 5KB
  115. 6. Relationship Between Two Different Quantitative Variables/1. Explore the Relationship Between Two Quantitative Variables.vtt 4KB
  116. 4. Probability Distributions/4. Standard Normal Distribution and Z-scores.vtt 4KB
  117. 8. Multivariate Analysis/8. Multivariate Analysis of Variance (MANOVA).vtt 4KB
  118. 9. Miscellaneous Lectures & Information/1. Exploratory Data Analysis With xda.vtt 4KB
  119. 8. Multivariate Analysis/7. Non-metric multi dimensional scaling (NMDS).vtt 4KB
  120. 4. Probability Distributions/2. Data Distribution Normal Distribution.vtt 4KB
  121. 7. Other Types of Regression/9. Goodness of fit testing.vtt 4KB
  122. 1. Introduction to the Basics of Applied Statistical Modelling/5. Different Types of Data.vtt 4KB
  123. 1. Introduction to the Basics of Applied Statistical Modelling/6. Conclusion to Section 1.vtt 4KB
  124. 7. Other Types of Regression/4.1 poly1.txt.txt 4KB
  125. 6. Relationship Between Two Different Quantitative Variables/8. Linear Regression and ANOVA.vtt 3KB
  126. 4. Probability Distributions/1. Background.vtt 3KB
  127. 8. Multivariate Analysis/1. Why Do Multivariate Analysis.vtt 3KB
  128. 7. Other Types of Regression/10. Conclusions to Section 7.vtt 3KB
  129. 2. Section 2 The Essentials of the R Programming Language/7.1 EDA.txt.txt 3KB
  130. 8. Multivariate Analysis/4.1 lda.txt.txt 3KB
  131. 8. Multivariate Analysis/9. Conclusions to Section 8.vtt 3KB
  132. 7. Other Types of Regression/5.1 linMix.txt.txt 2KB
  133. 2. Section 2 The Essentials of the R Programming Language/8. Conclusion to Section 2.vtt 2KB
  134. 6. Relationship Between Two Different Quantitative Variables/12. Conclusions to Section 6.vtt 2KB
  135. 7. Other Types of Regression/7.1 logisticreg1.txt.txt 2KB
  136. 3. Statistical Tools to Learn More About Your Data/5.1 barplt1.txt.txt 2KB
  137. 8. Multivariate Analysis/5.1 ca_r.txt.txt 2KB
  138. 5. Statistical Inference/8. Conclusions to Section 5.vtt 2KB
  139. 5. Statistical Inference/5. Non-parametric version of One-way ANOVA.vtt 2KB
  140. 7. Other Types of Regression/2.1 Lecture50_others regs1.txt.txt 2KB
  141. 3. Statistical Tools to Learn More About Your Data/7. Conclusions to Section 3.vtt 2KB
  142. 5. Statistical Inference/6.1 2wayAn1.txt.txt 2KB
  143. 7. Other Types of Regression/1.1 Lecture49_transform.txt.txt 2KB
  144. 8. Multivariate Analysis/2.1 cluster1.txt.txt 2KB
  145. 5. Statistical Inference/2.1 ttest1.txt.txt 2KB
  146. 6. Relationship Between Two Different Quantitative Variables/6.1 multicol1.txt.txt 2KB
  147. 6. Relationship Between Two Different Quantitative Variables/9.1 intercnreg.txt.txt 2KB
  148. 6. Relationship Between Two Different Quantitative Variables/2.1 Correlans.txt.txt 2KB
  149. 4. Probability Distributions/7. Conclusions to Section 4.vtt 2KB
  150. 2. Section 2 The Essentials of the R Programming Language/6.1 removeNAs.txt.txt 2KB
  151. 6. Relationship Between Two Different Quantitative Variables/10.1 ancova1.txt.txt 2KB
  152. 6. Relationship Between Two Different Quantitative Variables/7.1 more_lin reg1.txt.txt 2KB
  153. 8. Multivariate Analysis/3.1 pca_r.txt.txt 1KB
  154. 7. Other Types of Regression/3.1 sma1.txt.txt 1KB
  155. 2. Section 2 The Essentials of the R Programming Language/4.1 read_inExternalData.txt.txt 1KB
  156. 3. Statistical Tools to Learn More About Your Data/6.1 chisq1.txt.txt 1KB
  157. 5. Statistical Inference/4.1 oneAnova1.txt.txt 1KB
  158. 2. Section 2 The Essentials of the R Programming Language/1. Rationale for this section.html 1KB
  159. 3. Statistical Tools to Learn More About Your Data/4.1 boxplt1.txt.txt 1KB
  160. 7. Other Types of Regression/8.1 poisson1.txt.txt 1KB
  161. 6. Relationship Between Two Different Quantitative Variables/11.1 model_selcn.txt.txt 1KB
  162. 9. Miscellaneous Lectures & Information/1.1 xda.txt.txt 1KB
  163. 2. Section 2 The Essentials of the R Programming Language/5.1 indexingDF.txt.txt 1014B
  164. 6. Relationship Between Two Different Quantitative Variables/5.1 condns_regression1.txt.txt 1002B
  165. 5. Statistical Inference/3.1 mann_wil1.txt.txt 912B
  166. 3. Statistical Tools to Learn More About Your Data/2.1 meanData.txt.txt 879B
  167. 9. Miscellaneous Lectures & Information/2.1 readHTML_rcurl.txt.txt 843B
  168. 8. Multivariate Analysis/7.1 nmds1.txt.txt 839B
  169. 8. Multivariate Analysis/8.1 manova1.txt.txt 794B
  170. 6. Relationship Between Two Different Quantitative Variables/4.1 regression1.txt.txt 717B
  171. 4. Probability Distributions/6.1 CIinR1.txt.txt 639B
  172. 3. Statistical Tools to Learn More About Your Data/1. Summarize Quantitative Data.html 529B
  173. 5. Statistical Inference/5.1 nonP_krusk1.txt.txt 480B
  174. 1. Introduction to the Basics of Applied Statistical Modelling/2. Data & Code Used in the Course.html 455B
  175. 4. Probability Distributions/3.1 checkNorm.txt.txt 411B
  176. 3. Statistical Tools to Learn More About Your Data/3.1 sd_se1.txt.txt 308B
  177. 2. Section 2 The Essentials of the R Programming Language/9. Section 2 Quiz.html 161B
  178. 3. Statistical Tools to Learn More About Your Data/8. Section 3 Quiz.html 161B
  179. 4. Probability Distributions/8. Section 4 Quiz.html 161B
  180. 5. Statistical Inference/9. Section 5 Quiz.html 161B
  181. 6. Relationship Between Two Different Quantitative Variables/13. Section 6 Quiz.html 161B
  182. 7. Other Types of Regression/11. Section 7 Quiz.html 161B
  183. 8. Multivariate Analysis/10. Section 8 Quiz.html 161B
  184. [DesireCourse.Net].url 51B
  185. [CourseClub.Me].url 48B