The repository contains lessons and resources for the one day "Introduction to R" designed to support skill development for the Environmental Stewardship Initiative. This includes software instruction details (R and R-studio), teaching material, and demonstration scripts to highlight possible applications of r.
The goal of this 1-day workshop is to teach people with no R experience how read in data from excel, clean the data, summarise the data (average and variability), and create graphs using the program R. The course will be very hands on and will be working with your own datasets.
- What: Introduction to r; what is it? What does it do? How can it make your life easier?
- Where: Nora Building : 3726 Alfred Ave, Smithers, B.C.
- When: 8:30 am Monday March 2nd to 4:30 PM, 2020
- Cost: Free for participants
-
Mandatory : Bring your own laptop
-
Mandatory: Install R and RStudio (link)
- You can find detailed intructions here and we can help with any problems at the start of the day.
-
Recommended Reading (Beginner):
-
Why do I use R? (10 mins)
-
What is R? (1 hour)
- Getting to know R and R-Studio
-
How to find help (20 mins)
- How to read a help file?
- Getting help with packages
-
Project Management With RStudio (30 mins)
- how to create an R project
- Best practices for setting up your data
-
Break
-
Exploring data types (60 mins)
- how to load a package in R"
- how to read data in R"
- Understand data types and structure"
-
Manpulating data in r (30 mins)
- summarising data types
- error checking
-
Lunch
-
Manipulating your data using dplyr (30 mins)
- summarising data types
- error checking
-
Graphing your data
- Create box plots, bar charts, line plots with error bars.
- Optional: write out shapefiles and or create some base maps.
-
R Demos
- Designing a stream sampling plan using R.
- Using R for GIS analysis
Please contact genevieve.perkins [at] gov.bc.ca for questions or concerns.
To report bugs/issues/feature requests, please file an issue.
If you would like to contribute, please see our CONTRIBUTING guidelines.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
The contents presented here is drawn from a number of sources including:
- Introduction to Data Science using R - Original Work Copyright © Software Carpentry, content modified by the Province of British Columbia.
- Data Carpentry - Licensed under CC-BY 4.0 2018–2019 by The Carpentries
- Geocomputation in R - Licences under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Unless otherwise stated, Copyright 2020 Province of British Columbia
This work is licensed under the Creative Commons Attribution 4.0 International License.
