Carpentries Fall Workshops (2016)
Introduction
- Introduction to R: This 3 hour course includes a basic introduction to the R syntax, data structures, and language constructs. We will also cover using RStudio, a tool to help manage R projects and write R scripts. Following the basics, we will cover how to import data into R and how to work with R’s most used data structure, a dataframe. This course is geared to participants who are new to R.
- Data Visualization in R: This workshop is geared to researchers wanting to use R for basic data visualization. It will cover ggplot2 and touch on ggvis for data visualization. Some experience with R or attendance of the Intro to R course on 11/8 is required.
Date
- Intro to R: November 8, 2016 (9:00 AM - 12:00 PM)
- Data Visualization in R: November 9, 2016 (9:00 AM - 12:00 PM)
- Data Cleaning, Preparation and Analysis in R: November 10, 2016 (9:00 AM - 12:00 PM)
Instructors
Audience
All graduate students and researchers.
Data (We will use a few csvs)
- Gapminder, you can get that by running this code in R:
gapminder <- read.csv("https://goo.gl/BtBnPg", header = T)
download.file('https://raw.githubusercontent.com/swcarpentry/r-novice-gapminder/gh-pages/_episodes_rmd/data/gapminder_wide.csv', 'data/gapminder_wide.csv')
- A zip file of several csv’s:
https://github.com/ucsdlib/workshops/raw/gh-pages/notebooks/data.zip
Unzip those into your ‘data’ folder inside your workshop project folder.
Resources
- Collaborative Notes: Etherpad
- Lessons for Class
-
R for Reproducible Scientific Analysis
- Introduction to R and RStudio through Control Flow
- Dataframe manipulation with dplyr
- Dataframe manipulation with tidyr
- RStudio Cheat Sheet
- Introduction to R (datacamp free course)
- Data wrangling cheat sheet from RStudio
- Introduction to dplyr
- R E-Books
- Data/GIS Lab
- Contact me timdennis@ucsd.edu, or set up an appointment https://calendly.com/timdennis