1. Download, Install and Setup R & RStudio (R Tutorial 1.0)
https://www.youtube.com/watch?v=cX532N_XLIs
2. Getting Started With R (R Tutorial 1.1)
https://www.youtube.com/watch?v=UYclmg1_KLk
3. Creating Vectors, Matrices, and Other Intro Topics (R Tutorial 1.2)
4. Import Data, Copy Data from Excel to R, Both .csv and .txt Formats (R Tutorial 1.3)
5. Importing Data and Working With Data in R (R Tutorial 1.4)
6. Working with Variables and Data in R (R Tutorial 1.5)
7. Subsetting Data in R With Square Brackets and Logic Statements (R Tutorial 1.6)
8. Logic Statements (TRUE/FALSE) and cbind and rbind Command in R (R Tutorial 1.7)
9. Setting Up Working Directories in R (R Tutorial 1.8)
10. Working With Scripts in R (R Tutorial 1.9)
11. Installing Packages in R (R Tutorial 1.10)
12. Customizing The Look of R Studio (R Tutorial 1.11)
13. Bar Charts and Pie Charts in R (R Tutorial 2.1)
14. Boxplots and Boxplots With Groups in R (R Tutorial 2.2)
15. Histograms in R (R Tutorial 2.3)
16. Stem and Leaf Plots in R (R Tutorial 2.4)
17. Stacked Bar Charts,Clustered Bar Charts and Mosaic Plots in R (R Tutorial 2.5)
18. Scatterplots in R (R Tutorial 2.6)
19. Summary Statistics in R: Mean, Standard Deviation, Frequencies, etc (R Tutorial 2.7)
20. Modifying Plots in R (R Tutorial 2.8)
21. Adding Text to Plots in R (R Tutorial 2.9)
22. Adding Legends to Plots in R (R Tutorial 2.10)
23. Binomial Distribution in R (R Tutorial 3.1)
24. Poisson Distribution in R (R Tutorial 3.2)
25. Normal Distribution in R (R Tutorial 3.3)
26. t Distribution in R (R Tutorial 3.4)
27. One-Sample t Test in R (R Tutorial 4.1)
28. Two-Sample t Test in R: Independent Groups (R Tutorial 4.2)
29. Mann Whitney U aka Wilcoxon Rank-Sum Test in R (R Tutorial 4.3)
30. Paired t Test in R (R Tutorial 4.4)
31. Wilcoxon Signed Rank Test in R (R Tutorial 4.5)
32. Analysis of Variance (ANOVA) and Multiple Comparisons in R (R Tutorial 4.6)
33. Chi-Square Test, Fishers Exact Test, and Cross Tabulations in R (R Tutorial 4.7)
34. Relative Risk, Odds Ratio and Risk Difference (aka Attributable Risk) in R (R Tutorial 4.8)
35. Correlation and Covariance in R (R Tutorial 4.9)
36. Linear Regression in R (R Tutorial 5.1)
37. Checking Linear Regression Assumptions in R (R Tutorial 5.2)
38. Multiple Linear Regression in R (R Tutorial 5.3)
39. Dummy Variables or Indicator Variables in R (R Tutorial 5.4)
40. Change Reference/Baseline Category for a Categorical Variable in Regression Model (R Tutorial 5.5)