Introduction to R Software

Introduction to R Software

Ch 30 NIOS: Gyanamrit via YouTube Direct link

Introduction Help demo examples packages libraries

31 of 32

31 of 32

Introduction Help demo examples packages libraries

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Classroom Contents

Introduction to R Software

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  1. 1 Examples of Programming (CH_30)
  2. 2 Bivariate and Three dimensional plots (CH_30)
  3. 3 Statistical Functions - Boxplots, Skewness and Kurtosis (CH_30)
  4. 4 Data Handling - Importing Data Files from Other software (CH_30)
  5. 5 Statistical Functions : Frequency and Partition values (CH_30)
  6. 6 Statistical Functions : Graphics and Plots (CH_30)
  7. 7 Statistical Functions - Central Tendency and Variation (CH_30)
  8. 8 Examples of More Programming
  9. 9 Strings -Display and Formating, Paste function
  10. 10 Strings - Display and Formatting , Print and Format with Concatenate
  11. 11 Strings - Display and Formatting , Print and Format Functions
  12. 12 Data Management - Factors (continued)
  13. 13 Data Management - (Factors)
  14. 14 Vector Indexing (continued)
  15. 15 Data Management - Vector Indexing
  16. 16 Data Management - Lists (continued)
  17. 17 Data Management - Lists
  18. 18 Data Management - Sorting and Ordering
  19. 19 Data Management Repeats
  20. 20 Data Management Sequences
  21. 21 Data Management Sequences
  22. 22 Basic Calculations : Conditional executions and loops
  23. 23 Basic Calculations : Truth table and conditional executions
  24. 24 Basic Calculations : Logical Operators
  25. 25 Basic calculations : Missing data and logical operators
  26. 26 Basic calculations : Matrix Operations
  27. 27 Functions and Matrices
  28. 28 R as calculator, Built in functions and Assignment
  29. 29 Basics of calculations , Basics and R as a calculator
  30. 30 Introduction command line, Data Editor and R studio
  31. 31 Introduction Help demo examples packages libraries
  32. 32 Why R and installation procedure

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