About the Workshop

Goals

By the end of this workshop, you will:

Use R Studio to develop and execute code that can analyze your data
Use R to assist you in cleaning your data for analysis
Use R to render publishable quality visualizations of your data
Utilize the help features in R to troubleshoot your R code
Draw on open source and publicly available resources to troubleshoot R code to meet your data analysis needs

Dates and Time

31 July, 2021 - 1 August, 2021 (Sat and Sun)

9 am - 4 pm (US Eastern Time)

There are a total four 3-hour sessions. Morning sessions run from 9 am to 12 noon, and afternoon sessions run from 1 pm - 4 pm.

Format

Fully online via Zoom (synchronous)

Fees

The workshop itself is free. But, we ask that participants donate no less than US$50 (or an equivalent amount in any local currency) to a charity that has been offering help during the COVID pandemic. It can be a church, a food bank, a charity. All registrants will be asked to upload a receipt of their donation before we confirm your registration.

Materials

We will take advantage of open data and code generously shared by researchers in the field. So, we will be playing with data that we have good background knowledge. Participants can also read the publication(s) associated with the data ahead of time to familiarize themselves with the context. Additional code used in the workshop will be made available on this website as well.

Program

Day 1 Morning

An Overview of R
Basics in R
- Working Directory
- Packages
- Importing and Exporting Data
- Data Types
- Data Frames

Day 1 Afternoon

Descriptive Statistics in R
- mean, standard deviation, confidence intervals and more
- Descriptives by groups

Day 2 Morning

Data Wrangling
- A reproducible data processing pipeline for yourself and for Open Science
- Useful packages for data wrangling
- Select, filter, combine, reformat and more

Day 2 Afternoon

Data Visualization using ggplot2
- Scatter plots
- Line graphs for group comparisons and more