Intro R and Interactive Mapping
1
Data project management
2
Introduction to R & RStudio
What is R and why use it
Introduction to RStudio
Interact with R
Two main ways you can program within RStudio
Running your commands/code from the R script file
If you run an incomplete command
Anything starting with a # is not executed
Install a package in R
Two ways to install packages in R/Rstudio
Load a package library in R
Try a package function
How to find help for a function
Manage your R working environment
Better: Use R projects instead of setting the working directory
Helpul R commands
References
3
Interactive maps with R
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Intro R and Interactive Mapping
References
This lesson has been adapted from the following sources:
Data Carpentry: R for data analysis and visualization of Ecological Data
Earth Analytics Course: Learn Data Science
by University of Colorado’s
Earth Lab