R for Beginners

R for Beginners

David Caughlin via YouTube Direct link

Creating a Project in RStudio

7 of 23

7 of 23

Creating a Project in RStudio

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Classroom Contents

R for Beginners

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  1. 1 Downloading & Installing R & RStudio
  2. 2 Orientation to RStudio
  3. 3 Gentle Introduction to R
  4. 4 Creating & Saving an R Script
  5. 5 Orientation to Written Tutorials
  6. 6 Setting a Working Directory in R
  7. 7 Creating a Project in RStudio
  8. 8 Reading Data into R | Using the read.csv Function
  9. 9 Merging Data Horizontally in R | Using the merge Function
  10. 10 Subsetting Cases From a Data Frame in R | Using the subset Function
  11. 11 Selecting & Removing Variables from a Data Frame in R | Using the subset Function
  12. 12 Writing Data Frames from R | Using the write.csv Function
  13. 13 Computing Turnover Rates in R | Using the sum & mean Functions
  14. 14 Counts & Frequencies in R | Using the table & barplot Functions
  15. 15 Measures of Central Tendency & Dispersion in R | Summarizing & Visualizing Distributions
  16. 16 Cross Tabulation in R | Using the xtabs Function
  17. 17 Estimating Internal Consistency Reliability (Using Cronbach's alpha) in R | Using the alpha Function
  18. 18 Creating a Composite Variable in R | Using the rowMeans Function
  19. 19 Independent-Samples t-test in R | Using the ttest Function from lessR
  20. 20 Paired-Samples t-test in R | Using the ttest Function from lessR
  21. 21 Estimating Criterion-Related Validity Using a Correlation in R
  22. 22 Predicting Criterion Scores Using Simple Linear Regression in R
  23. 23 Applying a Compensatory Approach to Selection Decisions Using Multiple Linear Regression in R

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