an Introduction to r For Quantitative Economics

This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve.

This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham’s tidyverse package for different parts of the data analysis workflow. After a gentle introduction to R code, the reader’s R skills are gradually honed, with the help of “your turn” exercises.

by Galit Shmueli (Author),‎ Peter C. Bruce (Author),‎ Inbal Yahav (Author),‎ Nitin R. Patel (Author),‎ Kenneth C. Lichtendahl (Author)