Dr. Venoo Kakar

Dr. Venoo Kakar

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Importing Data in R
Importing Data in R
Tidying Data in R using pivot_longer and pivot_wider
Tidying Data in R using pivot_longer and pivot_wider
Data Transformation in R Part 12
Data Transformation in R Part 12
Data Transformation in R Part 22
Data Transformation in R Part 22
Data Visualization in R Part 22
Data Visualization in R Part 22
Data Visualization in R Part 12
Data Visualization in R Part 12
Introduction to R for Data Science
Introduction to R for Data Science
Creating a simple Quarto document
Creating a simple Quarto document
Modifying values in R
Modifying values in R
R Notation
R Notation
R Objects Vectors Matrices Arrays Lists and Data Frames
R Objects Vectors Matrices Arrays Lists and Data Frames
Basics of R
Basics of R
9.6 Least Absolute Deviation and Quantile regression
9.6 Least Absolute Deviation and Quantile regression
9.5c Outliers and Influential observations
9.5c Outliers and Influential observations
9.5c Example of regressions with or without outliers
9.5c Example of regressions with or without outliers
9.5ab Nonrandom Sampling and Missing data
9.5ab Nonrandom Sampling and Missing data
9.4b Measurement error in an explanatory variable
9.4b Measurement error in an explanatory variable
9.4a Measurement error in the dependent variable
9.4a Measurement error in the dependent variable
9.2a Using Lagged dependent variables as proxy variables
9.2a Using Lagged dependent variables as proxy variables
9.2 Example of using a proxy variable
9.2 Example of using a proxy variable
9.2 Using Proxy variables for unobserved explanatory variables
9.2 Using Proxy variables for unobserved explanatory variables
9.1b Tests against Nonnested Alternatives
9.1b Tests against Nonnested Alternatives
9.1a RESET as a general test for Functional form misspecification
9.1a RESET as a general test for Functional form misspecification
9.1 Functional form misspecification
9.1 Functional form misspecification
8.3c White test for Heteroskedasticity
8.3c White test for Heteroskedasticity
8.5 Linear Probability Model and Heteroskedasticity
8.5 Linear Probability Model and Heteroskedasticity
8.3b Example of B-P test in R
8.3b Example of B-P test in R
8.3a Testing for Heteroskedasticity B-P test
8.3a Testing for Heteroskedasticity B-P test
8.2b Example with robust inference in R F test
8.2b Example with robust inference in R F test
8.2a Example with robust inference in R
8.2a Example with robust inference in R
8.2 Heteroskedasticity Robust inference after OLS
8.2 Heteroskedasticity Robust inference after OLS
8.1 Consequences of Heteroskedasticity for OLS
8.1 Consequences of Heteroskedasticity for OLS
8.0 Introduction to Heteroskedasticity
8.0 Introduction to Heteroskedasticity
7.4c Testing for differences in regression functions across groups the Chow test or F-test
7.4c Testing for differences in regression functions across groups the Chow test or F-test
7.4b Interactions involving dummy variables allowing for different slopes
7.4b Interactions involving dummy variables allowing for different slopes
7.5b Example of a linear probability model
7.5b Example of a linear probability model
7.6 Policy analysis and program evaluation
7.6 Policy analysis and program evaluation
7.5a The Linear Probability model
7.5a The Linear Probability model
7.7 Regression with discrete dependent variables
7.7 Regression with discrete dependent variables
7.4a Interactions involving dummy variables
7.4a Interactions involving dummy variables
7.3 Using dummy variables for multiple categories
7.3 Using dummy variables for multiple categories
7.2 A Single Dummy Independent variable
7.2 A Single Dummy Independent variable
7.3a Incorporating ordinal information using dummy variables
7.3a Incorporating ordinal information using dummy variables
7.1 Describing Qualitative Information
7.1 Describing Qualitative Information
7.0 Introduction to Regression analysis with Qualitative information
7.0 Introduction to Regression analysis with Qualitative information
6.2c Regression model with Interaction terms
6.2c Regression model with Interaction terms
6.3 Goodness of fit and selection of regressors
6.3 Goodness of fit and selection of regressors
6.2b Regression Model with Quadratic terms
6.2b Regression Model with Quadratic terms
6.2a Regression model with Logarithmic Functional forms
6.2a Regression model with Logarithmic Functional forms
6.1 Effects of Data Scaling on OLS statistics changing units of measurement
6.1 Effects of Data Scaling on OLS statistics changing units of measurement