# Multivariate Procedures with R (in English language)

- Institution: IIT Kanpur
- Department: Management
- Teacher: Prof. Shalabh
- Level: Undergraduate
- Language: English
- Subjects: Business and management
- Source: [NPTEL](https://nptel.ac.in/courses/110104440)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/110104440)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Lecture 0: How to Learn and Follow the Course](https://invisiblenetwork.ai/learn/nptel/110104440/45a826a274d0) (Video)
2. [Lecture 1: R Software and its Installation](https://invisiblenetwork.ai/learn/nptel/110104440/b68fbc2b359a) (Video)
3. [Lecture 2: Help, Demonstration, Examples, Packages and Libraries](https://invisiblenetwork.ai/learn/nptel/110104440/f9611c27007d) (Video)
4. [Lecture 3: Command line and Data Editor](https://invisiblenetwork.ai/learn/nptel/110104440/fc3376658a8d) (Video)
5. [Lecture 4: Introduction to R Studio](https://invisiblenetwork.ai/learn/nptel/110104440/6272143e2fa4) (Video)
6. [Lecture 5: R as a Calculator](https://invisiblenetwork.ai/learn/nptel/110104440/7a90f20ed872) (Video)
7. [Lecture 6: Calculations with Data Vectors and Builtin Functions](https://invisiblenetwork.ai/learn/nptel/110104440/a0ee4e5f8dc1) (Video)
8. [Lecture 7: Matrix Operations](https://invisiblenetwork.ai/learn/nptel/110104440/ba783fa8f848) (Video)
9. [Lecture 8: Matrix Operations](https://invisiblenetwork.ai/learn/nptel/110104440/fddf666c9411) (Video)
10. [Lecture 9: Univariate Data Central Tendency and Variability](https://invisiblenetwork.ai/learn/nptel/110104440/277c8ae2396b) (Video)
11. [Lecture 10: Bivariate Data Descriptive Statistics](https://invisiblenetwork.ai/learn/nptel/110104440/fa13b8675a6b) (Video)
12. [Lecture 11: Missing Data Handling](https://invisiblenetwork.ai/learn/nptel/110104440/4bdbebefe34e) (Video)
13. [Lecture 12: Measuring Central Tendency with Missing Data](https://invisiblenetwork.ai/learn/nptel/110104440/10cd64eb1d3c) (Video)
14. [Lecture 13: Measuring Variation with Missing Data](https://invisiblenetwork.ai/learn/nptel/110104440/7e14a29e6a96) (Video)
15. [Lecture 14: Coefficient of Variation and Summary](https://invisiblenetwork.ai/learn/nptel/110104440/79fa27e6c117) (Video)
16. [Lecture 15: Boxplots and Grouped Boxplots](https://invisiblenetwork.ai/learn/nptel/110104440/f0664b2f5707) (Video)
17. [Lecture 16: Bar Diagram, Subdivided and Multiple Bar Diagrams](https://invisiblenetwork.ai/learn/nptel/110104440/354a0f4b3e19) (Video)
18. [Lecture 17: Pie Diagram, Histogram and Multiple Histogram](https://invisiblenetwork.ai/learn/nptel/110104440/f6894216984f) (Video)
19. [Lecture 18: Scatter Plots, Smooth Scatter Plots and Matrix Plots](https://invisiblenetwork.ai/learn/nptel/110104440/5825aab94cb4) (Video)
20. [Lecture 19: Three Dimensional Plots, Star Plots and Chernoff Faces](https://invisiblenetwork.ai/learn/nptel/110104440/2f0542b58cb1) (Video)
21. [Lecture 20: Random Variables: Continuous and Discrete](https://invisiblenetwork.ai/learn/nptel/110104440/4929c4ffd2fb) (Video)
22. [Lecture 21: Random Variables: Probability Functions](https://invisiblenetwork.ai/learn/nptel/110104440/d21fc01a007b) (Video)
23. [Lecture 22: Probability Functions for Continuous Bivariate and Multivariate Random Variables](https://invisiblenetwork.ai/learn/nptel/110104440/3543857706a8) (Video)
24. [Lecture 23: Univariate Normal Distribution: Theoretical Properties](https://invisiblenetwork.ai/learn/nptel/110104440/e07ac3704b02) (Video)
25. [Lecture 24: Univariate Normal Distribution: Application in R Software](https://invisiblenetwork.ai/learn/nptel/110104440/5efc38680710) (Video)
26. [Lecture 25: Bivariate Normal and Multivariate Normal Distributions in R](https://invisiblenetwork.ai/learn/nptel/110104440/d1d139f3bf45) (Video)
27. [Lecture 26: Chi square, t and F Distribution](https://invisiblenetwork.ai/learn/nptel/110104440/c6140b5e1abe) (Video)
28. [Lecture 27: Point and Interval Estimation](https://invisiblenetwork.ai/learn/nptel/110104440/7ddf3e03174f) (Video)
29. [Lecture 28: Maximum Likelihood Estimation](https://invisiblenetwork.ai/learn/nptel/110104440/577724d959aa) (Video)
30. [Lecture 29: Basics of Tests of Hypothesis](https://invisiblenetwork.ai/learn/nptel/110104440/782401c68dea) (Video)
31. [Lecture 30: Test and Confidence Interval for Mean in One Sample with Known Variance in Univariate Data](https://invisiblenetwork.ai/learn/nptel/110104440/04ba4167f5c5) (Video)
32. [Lecture 31: Test and Confidence Interval for Mean in One Sample with Unknown Variance in Univariate Data](https://invisiblenetwork.ai/learn/nptel/110104440/e034b5ed5d3f) (Video)
33. [Lecture 32: Tests for Mean in Two Samples with Univariate Data](https://invisiblenetwork.ai/learn/nptel/110104440/0521993cd32b) (Video)
34. [Lecture 33: Analysis of Variance and Homogeneity of Variances with Univariate Data](https://invisiblenetwork.ai/learn/nptel/110104440/ea9e0b40777f) (Video)
35. [Lecture 34: Tests for Mean Vector with Multivariate Data in One Sample](https://invisiblenetwork.ai/learn/nptel/110104440/f4f634756add) (Video)
36. [Lecture 35: Tests for Mean Vector with Multivariate Data in Two Samples](https://invisiblenetwork.ai/learn/nptel/110104440/8dd8b4e95c16) (Video)
37. [Lecture 36: Scaling of Data :: Centering, Scaling and ZScores](https://invisiblenetwork.ai/learn/nptel/110104440/a1e7759e82e6) (Video)
38. [Lecture 37: Multiple Linear Regression Analysis :: Introduction and Basic Concepts](https://invisiblenetwork.ai/learn/nptel/110104440/034140bad0e0) (Video)
39. [Lecture 38: Multiple Linear Regression Analysis :: Estimation of Parameters](https://invisiblenetwork.ai/learn/nptel/110104440/483494834a45) (Video)
40. [Lecture 39: Model Fitting With R Software](https://invisiblenetwork.ai/learn/nptel/110104440/11c8a9df0676) (Video)
41. [Lecture 40: Test of Hypothesis and Confidence Interval Estimation on Individual Regression Coefficients](https://invisiblenetwork.ai/learn/nptel/110104440/3695b871990c) (Video)
42. [Lecture 41: Analysis of Variance and Implementation in R Software](https://invisiblenetwork.ai/learn/nptel/110104440/cd9bc6ce8703) (Video)
43. [Lecture 42: Goodness of Fit and Testing of Normality](https://invisiblenetwork.ai/learn/nptel/110104440/4a0db8f318d4) (Video)
44. [Lecture 43: Logistic Regression Model](https://invisiblenetwork.ai/learn/nptel/110104440/90ecb37a884c) (Video)
45. [Lecture 44: Introduction to Classification](https://invisiblenetwork.ai/learn/nptel/110104440/9be75c4f5b29) (Video)
46. [Lecture 45: Bayes Procedure for Classification](https://invisiblenetwork.ai/learn/nptel/110104440/af59f73d2c8e) (Video)
47. [Lecture 46: Classification Procedure for Multivariate Normal Distributions](https://invisiblenetwork.ai/learn/nptel/110104440/3a52f01c2a28) (Video)
48. [Lecture 47: Classification Procedure and Analysis in R](https://invisiblenetwork.ai/learn/nptel/110104440/9365b0b3ddb2) (Video)
49. [Lecture 48: Cluster Analysis :: Basic Concepts and Definitions](https://invisiblenetwork.ai/learn/nptel/110104440/b04ccaae181d) (Video)
50. [Lecture 49: Hierarchical Classification](https://invisiblenetwork.ai/learn/nptel/110104440/97e55bd28c9b) (Video)
51. [Lecture 50: Hierarchical Classification and Analysis with R](https://invisiblenetwork.ai/learn/nptel/110104440/938c548f3404) (Video)
52. [Lecture 51: Hierarchical Classification with Example in R](https://invisiblenetwork.ai/learn/nptel/110104440/22714cab3a67) (Video)
53. [Lecture 52: Principle Component Analysis :: Concepts and Theoretical Setup](https://invisiblenetwork.ai/learn/nptel/110104440/46fe4b9884ce) (Video)
54. [Lecture 53: Principle Component and Its Graphical Analysis in R](https://invisiblenetwork.ai/learn/nptel/110104440/303fd656556d) (Video)
55. [Lecture 54: Canonical Variables and Concepts](https://invisiblenetwork.ai/learn/nptel/110104440/6939c2ac22e7) (Video)
56. [Lecture 55: Statistical Analysis of Canonical Variables](https://invisiblenetwork.ai/learn/nptel/110104440/b2e7fd6ce64e) (Video)
57. [Lecture 56: Canonical Variables Analysis in R](https://invisiblenetwork.ai/learn/nptel/110104440/57bb2bc2a1a0) (Video)
58. [Live Session 08-03-2024](https://invisiblenetwork.ai/learn/nptel/110104440/45a826a274d0-2) (Video)