Learn · Multivariate Procedures with R (in English language)

Lecture 58 of 58Live Session

Live Session 08-03-2024

Prof. Shalabh · IIT Kanpur

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Multivariate Procedures with R (in English language), IIT Kanpur (at NPTEL)
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All the lectures

  1. Lecture 0: How to Learn and Follow the Course Video
  2. Lecture 1: R Software and its Installation Video
  3. Lecture 2: Help, Demonstration, Examples, Packages and Libraries Video
  4. Lecture 3: Command line and Data Editor Video
  5. Lecture 4: Introduction to R Studio Video
  6. Lecture 5: R as a Calculator Video
  7. Lecture 6: Calculations with Data Vectors and Builtin Functions Video
  8. Lecture 7: Matrix Operations Video
  9. Lecture 8: Matrix Operations Video
  10. Lecture 9: Univariate Data Central Tendency and Variability Video
  11. Lecture 10: Bivariate Data Descriptive Statistics Video
  12. Lecture 11: Missing Data Handling Video
  13. Lecture 12: Measuring Central Tendency with Missing Data Video
  14. Lecture 13: Measuring Variation with Missing Data Video
  15. Lecture 14: Coefficient of Variation and Summary Video
  16. Lecture 15: Boxplots and Grouped Boxplots Video
  17. Lecture 16: Bar Diagram, Subdivided and Multiple Bar Diagrams Video
  18. Lecture 17: Pie Diagram, Histogram and Multiple Histogram Video
  19. Lecture 18: Scatter Plots, Smooth Scatter Plots and Matrix Plots Video
  20. Lecture 19: Three Dimensional Plots, Star Plots and Chernoff Faces Video
  21. Lecture 20: Random Variables: Continuous and Discrete Video
  22. Lecture 21: Random Variables: Probability Functions Video
  23. Lecture 22: Probability Functions for Continuous Bivariate and Multivariate Random Variables Video
  24. Lecture 23: Univariate Normal Distribution: Theoretical Properties Video
  25. Lecture 24: Univariate Normal Distribution: Application in R Software Video
  26. Lecture 25: Bivariate Normal and Multivariate Normal Distributions in R Video
  27. Lecture 26: Chi square, t and F Distribution Video
  28. Lecture 27: Point and Interval Estimation Video
  29. Lecture 28: Maximum Likelihood Estimation Video
  30. Lecture 29: Basics of Tests of Hypothesis Video
  31. Lecture 30: Test and Confidence Interval for Mean in One Sample with Known Variance in Univariate Data Video
  32. Lecture 31: Test and Confidence Interval for Mean in One Sample with Unknown Variance in Univariate Data Video
  33. Lecture 32: Tests for Mean in Two Samples with Univariate Data Video
  34. Lecture 33: Analysis of Variance and Homogeneity of Variances with Univariate Data Video
  35. Lecture 34: Tests for Mean Vector with Multivariate Data in One Sample Video
  36. Lecture 35: Tests for Mean Vector with Multivariate Data in Two Samples Video
  37. Lecture 36: Scaling of Data :: Centering, Scaling and ZScores Video
  38. Lecture 37: Multiple Linear Regression Analysis :: Introduction and Basic Concepts Video
  39. Lecture 38: Multiple Linear Regression Analysis :: Estimation of Parameters Video
  40. Lecture 39: Model Fitting With R Software Video
  41. Lecture 40: Test of Hypothesis and Confidence Interval Estimation on Individual Regression Coefficients Video
  42. Lecture 41: Analysis of Variance and Implementation in R Software Video
  43. Lecture 42: Goodness of Fit and Testing of Normality Video
  44. Lecture 43: Logistic Regression Model Video
  45. Lecture 44: Introduction to Classification Video
  46. Lecture 45: Bayes Procedure for Classification Video
  47. Lecture 46: Classification Procedure for Multivariate Normal Distributions Video
  48. Lecture 47: Classification Procedure and Analysis in R Video
  49. Lecture 48: Cluster Analysis :: Basic Concepts and Definitions Video
  50. Lecture 49: Hierarchical Classification Video
  51. Lecture 50: Hierarchical Classification and Analysis with R Video
  52. Lecture 51: Hierarchical Classification with Example in R Video
  53. Lecture 52: Principle Component Analysis :: Concepts and Theoretical Setup Video
  54. Lecture 53: Principle Component and Its Graphical Analysis in R Video
  55. Lecture 54: Canonical Variables and Concepts Video
  56. Lecture 55: Statistical Analysis of Canonical Variables Video
  57. Lecture 56: Canonical Variables Analysis in R Video
  58. Live Session 08-03-2024 Video