Windows Software On Engineering Lab Computers and Terminal Servers. The table below lists the availability and general location of applications and software packages throughout the College of Engineering. R is a language that you can use to direct a computer to perform mathematical and statistical operations. RStudio is an interface that interprets the language and communicates your instructions to the computer. If a course lecture is 'linked' to a noncredit lab or recitation or studio, you must register for all parts of the course. Web registration will not permit you to register for one part without the other. Charlotte is an Assistant Professor in the Department of Statistics at Oregon State University and an avid R programmer with a passion for teaching. Her interests lie in spatiotemporal data, statistical graphics and computing, and environmental statistics. Citrix Apps Server (apps.oregonstate.edu) hosts a collection of software, and is accessible using several common devices (Windows, Mac, Chromebook) Below is the list of software installed in our labs and classrooms for Academic Year 2018-2019.
RStudio Addins Manager
RStudio addins let you execute a bit of R code or a Shiny app through the RStudio IDE, either via the Addins dropdown menu or with a keyboard shortcut. This package is an RStudio addin for managing other addins. To run these addins, you need the latest version of RStudio.
Installation
The package can be installed via devtools
## Need the latest version of DT as well
devtools::install_github('rstudio/DT')
devtools::install_github('csgillespie/addinmanager')
Running addins
R Studio For Mac Oregon State University
After installing the package, the Addins menu toolbar will be populated with a new addin called Addin Manager. When you launch this addin, a DT table will be launched:
1. Getting Started
The first lessons below will introduce you to using R. These lessons are not focused on spatial data but on the basic operations of R you'll need for working with Spatial Data.
2. Exploring Tabular Data
These lessons will show you how to create data in R and use R to explore data.
3. Control Flow
4. Packages and Libraries
5. Exploring Spatial Data
R Studio For Mac
6. Interpolation
- Spatial Statistics (incomplete)
7. Correlation/Regression Models
8. Monte Carlo Methods
9. Additional Information
Acknowledgments
The material in this web site was drawn from a large number of web sites, blogs, articles, and books. Special thanks go to Jose Montero for contributing content.