Description
This course introduces the most important data structures available in the R statistical programming language and their applications. Methodologies to import data from external sources (files, databases, on-line resources), to manipulate and transform data, and to save/export data to data repositories are covered. The course also covers how to compute descriptive statistics and how to build charts for data visualization. Some R data manipulation and visualization libraries are also covered.
General Information
Links
Remote Access to CSSE Linux lab environment:
- https://cssegit.monmouth.edu/cshelp/csseremote/-/wikis/MUCSremote
R downloads:
- Windows: https://cran.rstudio.com/bin/windows/base/
- macOS: https://cran.rstudio.com/bin/macosx/
- Linux: ask me
R-Studio downloads:
- https://www.rstudio.com/products/rstudio/download/
- https://cssegit.monmouth.edu/cshelp/csseremote/-/wikis/MUCSremote
R downloads:
- Windows: https://cran.rstudio.com/bin/windows/base/
- macOS: https://cran.rstudio.com/bin/macosx/
- Linux: ask me
R-Studio downloads:
- https://www.rstudio.com/products/rstudio/download/
Reading
Official Introduction to R:
- https://cran.r-project.org/doc/manuals/r-release/R-intro.html
- (PDF) https://cran.r-project.org/doc/manuals/R-intro.pdf
R Documentation (packages and functions)
- https://rdrr.io
- https://www.rdocumentation.org
- https://cran.r-project.org/doc/manuals/r-release/R-intro.html
- (PDF) https://cran.r-project.org/doc/manuals/R-intro.pdf
R Documentation (packages and functions)
- https://rdrr.io
- https://www.rdocumentation.org
| Name | Office Hours | |
|---|---|---|
Joe Chung | When? Where? |