ACC 3040

Climate Change Statistics in R

Lab 01 selected

The R language is widely used among climatologists for data analysis and provides a wide variety of statistical and graphical techniques, and is highly extensible. This course will provide an introduction to computer programming in R and how to use R for effective climate data analysis, such as linear regression, logistic regression, classification and clustering, trend detection, extreme value fitting, return period analysis, etc. Three hours a week on-line, three hours laboratory

Sections

Lab

Syllabus

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