R Tutorials

R Tutorials

David Caughlin via YouTube Direct link

Downloading & Installing R & RStudio

1 of 52

1 of 52

Downloading & Installing R & RStudio

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Classroom Contents

R Tutorials

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  1. 1 Downloading & Installing R & RStudio
  2. 2 Orientation to RStudio
  3. 3 Creating & Saving an R Script
  4. 4 Setting a Working Directory in R
  5. 5 Creating a Project in RStudio
  6. 6 Gentle Introduction to R
  7. 7 Orientation to Written Tutorials
  8. 8 Reading Data into R
  9. 9 Removing & Adding Variable Names in R
  10. 10 Arranging (Sorting) Data in R
  11. 11 Joining (Merging) Data in R
  12. 12 Writing Data from R
  13. 13 Filtering Data in R
  14. 14 Cleaning Data in R
  15. 15 Removing Objects from R Global Environment
  16. 16 Creating Tables in R
  17. 17 Manipulating & Restructuring Data in R
  18. 18 Descriptive Statistics in R
  19. 19 Internal Consistency Reliability in R
  20. 20 Creating Scale Scores in R
  21. 21 Aggregating & Segmenting Data in R
  22. 22 Creating PivotTables in R
  23. 23 Scatterplots in R
  24. 24 Correlation in R
  25. 25 Correlation Matrix in R
  26. 26 Independent-Samples t-test in R
  27. 27 Paired-Samples t-test in R
  28. 28 One-Way ANOVA in R
  29. 29 Evaluating 2x2 Mixed-Factorial Design Using Independent-Samples t-test in R
  30. 30 Centering & Standardizing Variables in R
  31. 31 Chi-Square Test of Independence in R
  32. 32 Estimating a Market Pay Line in R
  33. 33 Aging Market Survey Data in R
  34. 34 Applying Market Survey Weights in R
  35. 35 Hierarchical Linear Regression in R
  36. 36 Compa-Ratios & Pay Compression in R
  37. 37 Moderated Multiple Linear Regression in R
  38. 38 Path Analysis in R
  39. 39 Mediation Analysis in R
  40. 40 k-Fold Cross-Validation in R
  41. 41 Simple Linear Regression in R
  42. 42 Multiple Linear Regression in R
  43. 43 Logistic Regression in R
  44. 44 Survival Analysis in R
  45. 45 LASSO Regression in R (Part One)
  46. 46 LASSO Regression in R (Part Two)
  47. 47 Daily Diary Data Cleaning & Merging
  48. 48 Shiny Web Apps in R
  49. 49 Introduction to Text Analysis in R
  50. 50 Evaluating Disparate Adverse Impact Using 4/5ths Rule, Chi-Square Test, & Fisher Exact Test in R
  51. 51 Evaluating Disparate (Adverse) Impact Using Z-Difference-Test & Z-Impact-Ratio-Test in R
  52. 52 Visualizing Disparate (Adverse) Impact Using Bar Charts in R

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