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Learn · Foundations of R Software

Lecture 9 of 54Week 2

Lecture 8: R as a Calculator with Scalars and Data Vectors : Addition, Subtraction, Multiplication & Division

Prof. Shalabh · IIT Kanpur

Credits and licence

From
Foundations of R Software, IIT Kanpur (at NPTEL)
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
Who can watch
Teens profiles and older. How courses are placed

All the lectures

  1. Lecture 0: How to Learn and Follow the Course YouTube
  2. Lecture 1: Why R and Installation Procedure YouTube
  3. Lecture 2: Help, Demonstration, and Examples in R YouTube
  4. Lecture 3: Packages and Libraries in R YouTube
  5. Lecture 4: Command Line and Data Editor YouTube
  6. Lecture 5: Introduction to R Studio YouTube
  7. Lecture 6: Basic Operations in R YouTube
  8. Lecture 7: Some More Basic Operations in R YouTube
  9. Lecture 8: R as a Calculator with Scalars and Data Vectors : Addition, Subtraction, Multiplication & Division YouTube
  10. Lecture 9: Calculations with Data Vectors : Addition, Subtraction, Multiplication & Division YouTube
  11. Lecture 10: R as a Calculator with Scalars and Data Vectors : Power operations, Integer and Modulo divisions YouTube
  12. Lecture 11: Built in Functions and Assignments YouTube
  13. Lecture 12: Matrices YouTube
  14. Lecture 13: Matrix Operations – Row, Column & Other Operations YouTube
  15. Lecture 14: Matrix Operations – Access and Mathematical Operations YouTube
  16. Lecture 15: Matrix Operations – Mathematical and Other Operations YouTube
  17. Lecture 16: Logical Operators YouTube
  18. Lecture 17: Relational and Logical Operators YouTube
  19. Lecture 18: Missing Data Handling YouTube
  20. Lecture 19: Conditional Executions – If and If‐Else YouTube
  21. Lecture 20: Conditional Executions – Nested if else if and ifelse YouTube
  22. Lecture 21: Functions for Conditional Executions – switch and which commands YouTube
  23. Lecture 22: Loops – "for" loop YouTube
  24. Lecture 23: Loops – "while" and "repeat" YouTube
  25. Lecture 24: Functions YouTube
  26. Lecture 25: Sequences YouTube
  27. Lecture 26: More Sequences and Other Operations YouTube
  28. Lecture 27: Sequences of Dates and Alphabets YouTube
  29. Lecture 28: Repeats YouTube
  30. Lecture 29: Sorting, Ordering and Mode YouTube
  31. Lecture 30: Lists YouTube
  32. Lecture 31: Operations on Lists YouTube
  33. Lecture 32: Vector Indexing YouTube
  34. Lecture 33: Factors YouTube
  35. Lecture 34: Factors – Class and Unclass YouTube
  36. Lecture 35: Print and Format Function YouTube
  37. Lecture 36: Print and Format with Concatenate YouTube
  38. Lecture 37: Paste Function YouTube
  39. Lecture 38: String Splitting YouTube
  40. Lecture 39: Manipulations with Strings and Alphabets YouTube
  41. Lecture 40: Substitution and Replacement of Strings YouTube
  42. Lecture 41: Data Frames YouTube
  43. Lecture 42: Data Frames: Creation and Operations YouTube
  44. Lecture 43: Data Frames: Some More Operations YouTube
  45. Lecture 44: Data Frames: Combining and Merging YouTube
  46. Lecture 45: Importing and Reading CSV and Tabular Data Files YouTube
  47. Lecture 46: Importing and Reading EXCEL and other Data Files YouTube
  48. Lecture 47: Saving and Writing Data Files YouTube
  49. Lecture 48: Introduction, Frequencies and Partition Values YouTube
  50. Lecture 49: Scatter Plot and Bar Plots YouTube
  51. Lecture 50: Sub‐Divided Bar Plots and Pie Diagram YouTube
  52. Lecture 51: Histogram YouTube
  53. Lecture 52: Bivariate and Three Dimensional Scatter Plots YouTube
  54. Lecture 53: Some Examples of R Programming YouTube