Learn · Multivariate Procedures with R (in English language)
Lecture 7 of 58week-02
Lecture 6: Calculations with Data Vectors and Builtin Functions
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
- Lecture 0: How to Learn and Follow the Course
- Lecture 1: R Software and its Installation
- Lecture 2: Help, Demonstration, Examples, Packages and Libraries
- Lecture 3: Command line and Data Editor
- Lecture 4: Introduction to R Studio
- Lecture 5: R as a Calculator
- Lecture 6: Calculations with Data Vectors and Builtin Functions
- Lecture 7: Matrix Operations
- Lecture 8: Matrix Operations
- Lecture 9: Univariate Data Central Tendency and Variability
- Lecture 10: Bivariate Data Descriptive Statistics
- Lecture 11: Missing Data Handling
- Lecture 12: Measuring Central Tendency with Missing Data
- Lecture 13: Measuring Variation with Missing Data
- Lecture 14: Coefficient of Variation and Summary
- Lecture 15: Boxplots and Grouped Boxplots
- Lecture 16: Bar Diagram, Subdivided and Multiple Bar Diagrams
- Lecture 17: Pie Diagram, Histogram and Multiple Histogram
- Lecture 18: Scatter Plots, Smooth Scatter Plots and Matrix Plots
- Lecture 19: Three Dimensional Plots, Star Plots and Chernoff Faces
- Lecture 20: Random Variables: Continuous and Discrete
- Lecture 21: Random Variables: Probability Functions
- Lecture 22: Probability Functions for Continuous Bivariate and Multivariate Random Variables
- Lecture 23: Univariate Normal Distribution: Theoretical Properties
- Lecture 24: Univariate Normal Distribution: Application in R Software
- Lecture 25: Bivariate Normal and Multivariate Normal Distributions in R
- Lecture 26: Chi square, t and F Distribution
- Lecture 27: Point and Interval Estimation
- Lecture 28: Maximum Likelihood Estimation
- Lecture 29: Basics of Tests of Hypothesis
- Lecture 30: Test and Confidence Interval for Mean in One Sample with Known Variance in Univariate Data
- Lecture 31: Test and Confidence Interval for Mean in One Sample with Unknown Variance in Univariate Data
- Lecture 32: Tests for Mean in Two Samples with Univariate Data
- Lecture 33: Analysis of Variance and Homogeneity of Variances with Univariate Data
- Lecture 34: Tests for Mean Vector with Multivariate Data in One Sample
- Lecture 35: Tests for Mean Vector with Multivariate Data in Two Samples
- Lecture 36: Scaling of Data :: Centering, Scaling and ZScores
- Lecture 37: Multiple Linear Regression Analysis :: Introduction and Basic Concepts
- Lecture 38: Multiple Linear Regression Analysis :: Estimation of Parameters
- Lecture 39: Model Fitting With R Software
- Lecture 40: Test of Hypothesis and Confidence Interval Estimation on Individual Regression Coefficients
- Lecture 41: Analysis of Variance and Implementation in R Software
- Lecture 42: Goodness of Fit and Testing of Normality
- Lecture 43: Logistic Regression Model
- Lecture 44: Introduction to Classification
- Lecture 45: Bayes Procedure for Classification
- Lecture 46: Classification Procedure for Multivariate Normal Distributions
- Lecture 47: Classification Procedure and Analysis in R
- Lecture 48: Cluster Analysis :: Basic Concepts and Definitions
- Lecture 49: Hierarchical Classification
- Lecture 50: Hierarchical Classification and Analysis with R
- Lecture 51: Hierarchical Classification with Example in R
- Lecture 52: Principle Component Analysis :: Concepts and Theoretical Setup
- Lecture 53: Principle Component and Its Graphical Analysis in R
- Lecture 54: Canonical Variables and Concepts
- Lecture 55: Statistical Analysis of Canonical Variables
- Lecture 56: Canonical Variables Analysis in R
- Live Session 08-03-2024