Welcome to the Code Camp!
This workshop is tailored for incoming first year Master’s and PhD Economics and Agricultural and Resource Economics (DARE) students. We will be walking through the basics of R programming that will help you in your coursework and eventually in your research at CSU.
The workshop will cover the following contents overall:
- Introduction to R; object-based programming
- Coding basics and writing codes
- Basic data types and transformation
- Matrix operations
- Reading and writing files in different format
- Reshaping and transforming data
- Data Analysis: summary statistics, visualizations, regressions etc
- Introduction to GIS (If time permits)
Date and time: (R) 8/21 & (F) 8/22, 9:30 AM – 11:30 AM
Location: Nutrien 103, College of Agricultural Sciences
References
Here are some recommended materials and references used for the Code Camp. Some of the resources are also linked within the sections as you dive into the materials.
Previous year’s code camp - Materials compiled by DARE PhD graduates Joey Blumberg and Ming Wang
Introduction to Data Science - Very good material to learn basics regarding indexing, arranging, sorting etc. using base R.
Data Wrangling with dplyr & tidyr – Quick reference for data manipulation.
ggplot2 Cheatsheet – Common plot types, geoms, and aesthetic mappings.
R for Data Science – Data import, wrangling, visualization, and modeling.
Advanced R – Deep dive into R programming internals.
ggplot2: Elegant Graphics for Data Analysis – Comprehensive guide to data visualization with ggplot2.
Quarto using R – Official guide for Quarto documents, websites, and presentations using R.
Tidyverse Documentation – Docs for dplyr, ggplot2, tidyr, readr, purrr, etc.
DataCamp’s Free R Courses – Beginner-friendly online R lessons.