Dr. Venoo Kakar - ViDoe

This channel is intended to provide lecture videos on
1. Macroeconomics
2. Econometrics
3. Applied Time Series Forecasting
4. Data Science using R

Find out more about me at www.venookakar.com

Importing Data in R

1:14:15

Importing Data in R

Tidying Data in R using pivot_longer() and pivot_wider()

1:13:16

Tidying Data in R using pivot_longer() and pivot_wider()

Data Transformation in R (Part 1/2)

52:39

Data Transformation in R (Part 1/2)

Data Transformation in R (Part 2/2)

54:51

Data Transformation in R (Part 2/2)

Data Visualization in R (Part 2/2)

37:54

Data Visualization in R (Part 2/2)

Data Visualization in R (Part 1/2)

42:25

Data Visualization in R (Part 1/2)

Introduction to R for Data Science

22:12

Introduction to R for Data Science

Creating a simple Quarto document

11:27

Creating a simple Quarto document

Modifying values in R

1:07:45

Modifying values in R

R Notation

40:48

R Notation

R Objects: Vectors, Matrices, Arrays, Lists and Data Frames

49:55

R Objects: Vectors, Matrices, Arrays, Lists and Data Frames

Basics of R

40:31

Basics of R

9.6 Least Absolute Deviation and Quantile regression

16:24

9.6 Least Absolute Deviation and Quantile regression

9.5c Example of regressions with or without outliers

9:31

9.5c Example of regressions with or without outliers

9.5c Outliers and Influential observations

6:50

9.5c Outliers and Influential observations

9.5ab Nonrandom Sampling and Missing data

14:28

9.5ab Nonrandom Sampling and Missing data

9.4b Measurement error in an explanatory variable

13:57

9.4b Measurement error in an explanatory variable

9.4a Measurement error in the dependent variable

8:08

9.4a Measurement error in the dependent variable

9.2a Using Lagged dependent variables as proxy variables

7:04

9.2a Using Lagged dependent variables as proxy variables

9.2 Example of using a proxy variable

6:17

9.2 Example of using a proxy variable

9.2 Using Proxy variables for unobserved explanatory variables

13:56

9.2 Using Proxy variables for unobserved explanatory variables

9.1b Tests against Nonnested Alternatives

7:23

9.1b Tests against Nonnested Alternatives

9.1a RESET as a general test for Functional form misspecification

5:43

9.1a RESET as a general test for Functional form misspecification

9.1 Functional form misspecification

9:07

9.1 Functional form misspecification

8.5 Linear Probability Model and Heteroskedasticity

7:29

8.5 Linear Probability Model and Heteroskedasticity

8.3c White test for Heteroskedasticity

3:23

8.3c White test for Heteroskedasticity

8.3b Example of B-P test in R

4:18

8.3b Example of B-P test in R

8.3a Testing for Heteroskedasticity (B-P test)

10:21

8.3a Testing for Heteroskedasticity (B-P test)

8.2b Example with robust inference in R (F test)

6:00

8.2b Example with robust inference in R (F test)

8.2a Example with robust inference in R

7:00

8.2a Example with robust inference in R