Learn · Introduction to R Software

Lecture 33 of 45Week 6 - Data management with display paste, split, find and replacement, manipulations with alphabe

Lecture 32 : Data frames (Continued)

Prof. Shalabh · IIT Kanpur

Credits and licence

From
Introduction to 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.
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All the lectures

  1. How to Learn and Follow the Course Video
  2. Lecture 01 - Why R and Installation Procedure Video
  3. Lecture 02 : Introduction _Help_ Demo examples_ packages_ libraries Video
  4. Lecture 03 : Introduction _Command line_ Data editor _ Rstudio Video
  5. Lecture 04 : Basics in Calculations Video
  6. Lecture 05 : Basics of Calculations _ Calculator _Built in Functions Assignments Video
  7. Lecture 06 : Basics of Calculations _Functions _Matrices Video
  8. Lecture 07 - Basics Calculations: Matrix Operations Video
  9. Lecture 08 - Basic calculations: Matrix operations Video
  10. Lecture 09 - Basic calculations: Missing data and logical operators Video
  11. Lecture 10 - Basic calculations: Logical operators Video
  12. Lecture - 11 Basics calculations: Truth table and conditional executions Video
  13. Lecture 12 - Basics calculations: Conditional executions and loops Video
  14. Lecture 13 - Basics calculations: Loops Video
  15. Lecture 14 - Data managment: Sequences Video
  16. Lecture 15 - Data management : sequences Video
  17. Lecture 16 - Data management : Repeats Video
  18. Lecture 17 - Data management : Sorting and Ordering Video
  19. Lecture 18 - Data management : Lists Video
  20. Lecture 19 - Data management: Lists (continued) Video
  21. Lecture 20 - Data management : Vector indexing Video
  22. Lecture 21 - Data management : Vector Indexing (continued) Video
  23. Lecture 22 - Data management: Factors Video
  24. Lecture 23 - Data management: factors (continued) Video
  25. Lecture 24: Strings -Display and Formatting, Print and Format Functions Video
  26. Lecture 25 : Strings - Display and Formatting, Print and Format with Concatenate Video
  27. Lecture 26 : Strings - Display and Formatting, Paste Function Video
  28. Lecture 27 : Strings - Display and Formatting, Splitting Video
  29. Lecture 28 : Strings - Display and Formatting, Replacement_ Manipulations _Alphabets Video
  30. Lecture 29 : Strings - Display and Formatting, Replacement and Evaluation of Strings Video
  31. Lecture 30 : Data frames Video
  32. Lecture 31 : Data frames (Continued ) Video
  33. Lecture 32 : Data frames (Continued) Video
  34. Lecture 33 : Data Handling - Importing CSV and Tabular Data Files Video
  35. Lecture 34: Data Handling - Importing Data Files from Other Software Video
  36. Lecture 35 : Statistical Functions : Frequency and Partition values Video
  37. Lecture 36 : Statistical Functions - Graphics and Plots Video
  38. Lecture 37 : Statistical Functions - Central Tendency and Variation Video
  39. Lecture 38 : Statistical Functions - Boxplots, Skewness and Kurtosis Video
  40. Lecture 39 : Statistical Functions - Bivariate three dimensional plot. Video
  41. Lecture 40 : Statistical Functions - Correlation and Examples of Programming Video
  42. Lecture 41: Examples of Programming Video
  43. Lecture 42 : Examples of More Programming Video
  44. Live Session 21-10-2020 Video
  45. Live Session 04-11-2019 Video