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Software/Data Carpentry - R (Ecology Data)

This is an introduction to R designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). They start with some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, how to calculate summary statistics from a data frame, and a brief introduction to plotting.

IMPORTANT: This workshop is two parts: 11/13/20 and 11/20/20. Registration and attendance at the first session is a prerequisite for the second.

General Information

Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Online via Zoom

When: Friday, November 13 and Friday, November 20, 2020. 1:00pm - 4:30pm

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed here).

Materials will be provided in advance of the workshop. If we can help making learning easier for you (e.g. sign-language interpreters, additional accommodations) please get in touch (using contact details below) and we will attempt to provide them.

Workshop organization note: A full Software Carpentry workshop typically consists of two days of in-person instruction, covering the Unix shell (half day), version control with Git (half day), and a full day of either Python or R. Due to moving online to maintain safety and compliance with COVID-19 guidelines, we have separated this curriculum into a series of workshops. For the full workshop curriculum, suggested schedules are below (choose a workshop, then for each row choose a date option from one column):

Software Carpentry - Python    
09/04/20 - Unix Shell  or  10/16/20 - Unix Shell

09/11/20 - Python, Part I and
09/18/20 - Python, Part II

 or

10/23/20 - Python, Part I and
10/30/20 - Python, Part II

10/09/20 - Git  or 11/06/20 - Git

 

Software Carpentry - R    
09/04/20 - Unix Shell  or 10/16/20 - Unix Shell

09/25/20 - R, Part I and
10/02/20 - R, Part II

 or 11/13/20 - R, Part I and
11/20/20, R, Part II
10/09/20 - Git  or 11/06/20 - Git

 
Data Carpentry lessons use domain-specific data files and examples, so mixing and matching is not recommended:

Data Carpentry - Ecology
09/17/20 - Data Carpentry (Ecology) - Organization/Spreadsheets and Cleaning/OpenRefine
09/24/20 - Data Carpentry (Ecology) - SQL
09/25/20 - Data Carpentry (Ecology) - R, Part I
10/02/20 - Data Carpentry (Ecology) - R, Part II

 

Data Carpentry - Social Science
11/19/20 - Data Carpentry (Social Science) - Organization/Spreadsheets and Cleaning/OpenRefine
12/03/20 - Data Carpentry (Social Science) - SQL
12/04/20 - Data Carpentry (Social Science) - R, Part I
12/11/20 - Data Carpentry (Social Science) - R, Part II

 

Related LibGuide: Digital Scholarship Resources by Steven Pryor

Dates & Times:
1:00pm - 4:30pm, Friday, November 13, 2020
1:00pm - 4:30pm, Friday, November 20, 2020
Categories:
Online Workshop Software Carpentry Workshop – Registration Required

Registration is required. There are 36 seats available.

More Information

Event Organizer

Profile photo of Steven Pryor
Steven Pryor

Steven Pryor
Digital Scholarship Librarian
University of Missouri Libraries
pryors@missouri.edu