Session 9

Panel Data

Shiny App : Normal Distribution

Binominal Distribution & Normal Distribution Fitting

3D plot

Objectives

At the end of this session, you should be able to:

  1. produce a simple linear regression on a dataset
  2. visualize the relation between two variables
  3. produce and explore a multiple regression
  4. interpret the obtained results
  5. use interaction terms
  6. showcase your results with the Stargazer package
  7. evaluation your variables in a correlation matrix
  8. think about your results in a 3D plot
  9. perform a logistic regression on a dataset
  10. interpret results with odds ratios and predicted probabilities
  11. perform a multinomial and an ordered regression on a dataset

Plan

Plan

  • 9.1 Simple Linear Regression
  • 9.2 Multiple Linear Regression
  • 9.3 Correlation matrix
  • 9.4 Binary Logistic Model
  • 9.5 Multinomial Logistic Regression
  • 9.6 Ordinal Logistic Regression

TL;DR

Simple Linear Regression

Multiple Linear Regression

Correlation matrix

Binary Logistic Regression

Ordinal Logistic Regression

Multinomial Logistic Regression

Mission Impossible: The Ultimate

Your final mission, should you choose to accept it…

You are in charge of organizing a presentation to the board of directors of an international investment firm. They need to decide in which country they want to invest.

We expect you to do:

  1. a dynamic presentation using a flexdashboard
  2. using for instance GDP and Foreign Direct Investment since at least 1995
  3. using for instance France as a country

Expected outcome: we expect you to showcase your flexdashboard, which would value as much material as possible that has been studied during this Bootcamp I (for instance relevant visualizations, data tables, mapping techniques, some statistical analyses… whatever is possible). Have fun for this ultimate MI!