Oliver Elison Timm
Department of Atmospheric and Environmental Sciences - University at Albany
Spring 2014
ATM/ENV315
In this course 'Environmental Statistics' you learn basic concepts of probaility theory, exploratory statistial data analysis hypothesis testing, linear regression, and time series analysis. You learn to use R and R-Studio to analyze environmental data.
More information on the course can be found in the syllabus.
A link to the program scripts and data used in this class can be found here.
The statistical software package R can be obtained from the offical CRAN project.
I can highly recommend R-studio, a professionally designed IDE for R. It works on Windows and Mac OS.
The slides (Power Point presentations) are lecture notes that summarize the covered course material.
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