R is a programming language is widely used by data scientists and major corporations like Google, Airbnb, Facebook etc. for data analysis. This is a complete ebook on R for beginners and covers basics to advance topics like machine learning algorithm, linear regression, time series, statistical inference etc.

Key Highlights of R Programming Tutorial PDF are

  • 383+ pages
  • eBook Designed for beginners
  • Beautifully annotated screenshots
  • You will get lifetime access

Inside this PDF

  1. What is R Programming? Introduction Basics
  2. How to Download and Install R, RStudio, and Anaconda on Mac/Windows
  3. R Data Types & Operator
  4. R Matrix Tutorial: Create,Print,add Column,Slice
  5. What is Factor in R? Categorical & Continuous
  6. R Data Frames: Create,Append,Select,Subset
  7. Lists in R: Create, Select [Example]
  8. Sort a data frame using Order
  9. R Dplyr Tutorial: Merge,Join,Spread
  10. Merge data Frames in R:Full and Partial Match
  11. Function in R Programming [With Example]
  12. IF,ELSE,ELIF, Statement in R
  13. For loop in R with Examples for List and Matrix
  14. While loop in R with Example
  15. apply(),sapply(),tapply() in R with Example
  16. Import data into R: Read CSV,Excel,SPSS,Stata,SAS Files
  17. Replace missing Values(NA)in R
  18. R Exporting Data to CSV, Excel, SAS, STATA, and Text File
  19. Pearson, Spearman Correlation in R and Correlation Matrix
  20. R Aggregate Function: Summarise & Group_by() [Example]
  21. R Select(), Filter(), Arrange(), Pipeline [Example]
  22. Scatter plot with ggplot2 [Examples]
  23. How to make Boxplot in R (with EXAMPLE)
  24. Bar Chart & Histogram in R [Examples]
  25. T-Test in R: One-Sample and Paired [Example]
  26. R ANOVA Tutorial: One-way & Two-way [with Examples]
  27. R Simple, Multiple Linear and Stepwise Regression [with Example]
  28. Decision trees in R with Example
  29. R Random Forest Tutorial [Examples]
  30. Generalized Linear Model (GLM) in R with Example
  31. K-means clustering in R with Example
  32. R Vs Python: What’s the difference?

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