R Tutorials by Mike Marin YouTube

1. Modifying Plots in R (R Tutorial 2.8).mp4109.19MB
2. Importing Data and Working With Data in R (R Tutorial 1.4).mp464.69MB
3. Adding Legends to Plots in R (R Tutorial 2.10).mp463.06MB
4. Working with Variables and Data in R (R Tutorial 1.5).mp460.54MB
5. Import Data, Copy Data from Excel to R, Both .csv and .txt Formats (R Tutorial 1.3).mp459.12MB
6. Adding Text to Plots in R (R Tutorial 2.9).mp456.72MB
7. Stratified Boxplots in R (R Tutorial 2.2b).mp455.44MB
8. Dummy Variables or Indicator Variables (R Tutorial 5.5).mp453.26MB
9. Multiple Linear Regression with Interaction in R (R Tutorial 5.9).mp452.98MB
10. Checking Linear Regression Assumptions in R (R Tutorial 5.2).mp452.91MB
11. Relative Risk, Odds Ratio and Risk Difference (aka Attributable Risk) in R (R Tutorial 4.8).mp450.91MB
12. Correlation and Covariance in R (R Tutorial 4.9).mp449.91MB
13. Introduction to R Programming Creating Vectors, Matrices, and Other Intro Topics (R Tutorial 1.2).mp448.94MB
14. Scripts for Reproducible Research in R (R Tutorial 1.9).mp448.81MB
15. Installing Packages in R (R Tutorial 1.10).mp448.56MB
16. Summary Statistics in R Mean, Standard Deviation, Frequencies, etc (R Tutorial 2.7).mp448.08MB
17. Normal Distribution, Z Scores, and Normal Probabilities in R (R Tutorial 3.3).mp446.63MB
18. Multiple Linear Regression in R (R Tutorial 5.3).mp444.14MB
19. Setting Up Working Directories in R (R Tutorial 1.8).mp442.95MB
20. Categorical Variables in Linear Regression in R, Example #2 (R Tutorial 5.8).mp442.78MB
21. Two-Sample t Test in R Independent Groups (R Tutorial 4.2).mp441.94MB
22. Categorical Variables or Factors in Linear Regression in R (R Tutorial 5.7).mp440.71MB
23. Linear Regression in R (R Tutorial 5.1).mp437.06MB
24. Introduction to R Programming Download, Install and Setup R & RStudio (R Tutorial 1.0).mp436.98MB
25. Change ReferenceBaseline Category for a Categorical Variable in Regression Model (R Tutorial 5.6).mp435.12MB
26. Scatterplots in R (R Tutorial 2.6).mp434.67MB
27. Changing a Numeric Variable to Categorical Variable in R (R Tutorial 5.4).mp434.26MB
28. Bar Charts and Pie Charts in R (R Tutorial 2.1).mp432.43MB
29. Interpreting Interaction in Linear Regression (Tutorial 5.10).mp432.37MB
30. Mann Whitney U aka Wilcoxon Rank-Sum Test in R (R Tutorial 4.3).mp432MB
31. Introduction to R Programming Getting Started With R (R Tutorial 1.1).mp431.75MB
32. Analysis of Variance (ANOVA) and Multiple Comparisons in R (R Tutorial 4.6).mp431.31MB
33. Subsetting Data in R With Square Brackets and Logic Statements (R Tutorial 1.6).mp430.3MB
34. Logic Statements (TRUEFALSE) and cbind and rbind Command in R (R Tutorial 1.7).mp430.08MB
35. Binomial Distribution in R (R Tutorial 3.1).mp428.59MB
36. Poisson Distribution in R (R Tutorial 3.2).mp428.1MB
37. Customizing The Look of R Studio (R Tutorial 1.11).mp427.73MB
38. t Distribution and t Scores in R (R Tutorial 3.4).mp426.87MB
39. Chi-Square Test, Fishers Exact Test, and Cross Tabulations in R (R Tutorial 4.7).mp426.31MB
40. Histograms in R (R Tutorial 2.3).mp423.62MB
41. Boxplots and Boxplots With Groups in R (R Tutorial 2.2).mp421.71MB
42. Wilcoxon Signed Rank Test in R (R Tutorial 4.5).mp421.35MB
43. Stacked Bar Charts,Clustered Bar Charts and Mosaic Plots in R (R Tutorial 2.5).mp420.89MB
44. Paired t Test in R (R Tutorial 4.4).mp420.22MB
45. One-Sample t Test in R (R Tutorial 4.1).mp419.52MB
46. Stem and Leaf Plots in R (R Tutorial 2.4).mp417.29MB