Develop analytical and visualization skills for investigating the behavior of agricultural and natural resources data.
Become competent in importing, analyzing, and visualizing complex data sets in the R environment.
Recode, combine, and restructure data sets for statistical analysis and visualization.
Appreciate probability concepts as they apply to environmental problems.
Understand common distributions used in statistical applications and inference.
Summarize data effectively and efficiently for reporting purposes.
Learn the tasks required to perform a variety of statistical hypothesis tests and interpret their results.
Understand which modeling frameworks are appropriate for your data and how to interpret predictions.
Includes over 130 exercises in R, with solutions available on the book's website.
