This series of videos will serve as an introduction to the R statistics language, targeted at economists.
In this video, I cover how to create your own random data (using rnorm() and similar commands) in order to perform a simulation that will allow you to test how much of a problem it is if your assumptions fail! The only other new command here is for loops, but I cover a few advanced ways of putting it all together.
Download the code from all my R videos at once at https://nickchk.com/R%20for%20Economi...
You can find links to every video in the series here: http://nickchk.com/videos.html#rstats
There are videos on: [BASIC] Getting Started, Getting Help, Objectives and Variables, Vectors and Matrices, Data Frames, Packages, Summary Statistics (of One and Two Variables), Plots and Graphs, and Linear Regression (OLS), [MODERATE] Regression Formulas, Robust or Clustered Standard Errors and Post-Regression Stats, Regression Plots, Instrumental Variables (IV Regression), Time Series, ARIMA and ARMA, Probit and Logit, Tobit and Heckman, Panel Data, and Missing Data, and [ADVANCED] Simulations, The Tidyverse, Reshape and Join/Merge, dplyr (Introduction, Piping, and Grouping), and ggplot (Introduction, Geometries, Overlaid and Grouped Plots, and Titles and Labels).
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