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Course11010444058 lectures

Multivariate Procedures with R (in English language)

Prof. Shalabh · IIT Kanpur

Start with lecture 1 At NPTEL

Lectures

week-01

  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

week-02

  1. Lecture 6: Calculations with Data Vectors and Builtin Functions Video
  2. Lecture 7: Matrix Operations Video
  3. Lecture 8: Matrix Operations Video
  4. Lecture 9: Univariate Data Central Tendency and Variability Video

week-03

  1. Lecture 10: Bivariate Data Descriptive Statistics Video
  2. Lecture 11: Missing Data Handling Video
  3. Lecture 12: Measuring Central Tendency with Missing Data Video
  4. Lecture 13: Measuring Variation with Missing Data Video

week-04

  1. Lecture 14: Coefficient of Variation and Summary Video
  2. Lecture 15: Boxplots and Grouped Boxplots Video
  3. Lecture 16: Bar Diagram, Subdivided and Multiple Bar Diagrams Video
  4. Lecture 17: Pie Diagram, Histogram and Multiple Histogram Video
  5. Lecture 18: Scatter Plots, Smooth Scatter Plots and Matrix Plots Video

week-05

  1. Lecture 19: Three Dimensional Plots, Star Plots and Chernoff Faces Video
  2. Lecture 20: Random Variables: Continuous and Discrete Video
  3. Lecture 21: Random Variables: Probability Functions Video
  4. Lecture 22: Probability Functions for Continuous Bivariate and Multivariate Random Variables Video
  5. Lecture 23: Univariate Normal Distribution: Theoretical Properties Video
  6. Lecture 24: Univariate Normal Distribution: Application in R Software Video

week-06

  1. Lecture 25: Bivariate Normal and Multivariate Normal Distributions in R Video
  2. Lecture 26: Chi square, t and F Distribution Video
  3. Lecture 27: Point and Interval Estimation Video
  4. Lecture 28: Maximum Likelihood Estimation Video

week-07

  1. Lecture 29: Basics of Tests of Hypothesis Video
  2. Lecture 30: Test and Confidence Interval for Mean in One Sample with Known Variance in Univariate Data Video
  3. Lecture 31: Test and Confidence Interval for Mean in One Sample with Unknown Variance in Univariate Data Video
  4. Lecture 32: Tests for Mean in Two Samples with Univariate Data Video
  5. Lecture 33: Analysis of Variance and Homogeneity of Variances with Univariate Data Video

week-08

  1. Lecture 34: Tests for Mean Vector with Multivariate Data in One Sample Video
  2. Lecture 35: Tests for Mean Vector with Multivariate Data in Two Samples Video
  3. Lecture 36: Scaling of Data :: Centering, Scaling and ZScores Video
  4. Lecture 37: Multiple Linear Regression Analysis :: Introduction and Basic Concepts Video
  5. Lecture 38: Multiple Linear Regression Analysis :: Estimation of Parameters Video

week-09

  1. Lecture 39: Model Fitting With R Software Video
  2. Lecture 40: Test of Hypothesis and Confidence Interval Estimation on Individual Regression Coefficients Video
  3. Lecture 41: Analysis of Variance and Implementation in R Software Video
  4. Lecture 42: Goodness of Fit and Testing of Normality Video
  5. Lecture 43: Logistic Regression Model Video
  6. Lecture 44: Introduction to Classification Video

week-10

  1. Lecture 45: Bayes Procedure for Classification Video
  2. Lecture 46: Classification Procedure for Multivariate Normal Distributions Video
  3. Lecture 47: Classification Procedure and Analysis in R Video
  4. Lecture 48: Cluster Analysis :: Basic Concepts and Definitions Video

week-11

  1. Lecture 49: Hierarchical Classification Video
  2. Lecture 50: Hierarchical Classification and Analysis with R Video
  3. Lecture 51: Hierarchical Classification with Example in R Video
  4. Lecture 52: Principle Component Analysis :: Concepts and Theoretical Setup Video

week-12

  1. Lecture 53: Principle Component and Its Graphical Analysis in R Video
  2. Lecture 54: Canonical Variables and Concepts Video
  3. Lecture 55: Statistical Analysis of Canonical Variables Video
  4. Lecture 56: Canonical Variables Analysis in R Video

Live Session

  1. Live Session 08-03-2024 Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Kanpur
Department
Management
Teacher
Prof. Shalabh
Level
Undergraduate
Language
English
Subjects
Business and management
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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