Course Detail
Units:
2.0
Course Components:
Laboratory
Description
Meets with GEOG 6680. Graduate students should enroll in GEOG 6680 and will be held to a higher standard and/or more work. Over the past few years, the R programming language has become increasingly widespread in academia and industry for statistical analysis, bioinformatics, data mining and graphics. This increase in its use means that many people have encountered it through journals, websites, coursework and colleagues, but may have little training in the basics of the language, and are unaware of the full set of possible applications. This course is designed to give an intensive introduction to R for analysis, programming and as a graphical tool. The main focus of the courses will be on R, although some analysis will be covered. It is aimed at people with little to no prior experience with R or programming, although some basic knowledge of statistics is assumed.