1.2 Goals

“The rise of computer programming, computational power, and modern statistical approaches may…” allow “…scientists to ask new questions and to extract more information from data than ever before.” (Touchon & McCoy 2016, Ecosphere)

• Statistical computing using R, RStudio, and rmarkdown
• Data analysis, from t-tests to mixed models in R
• Current statistical practice, with an emphasis on statistical modeling and effect size estimation instead of “statistical tests”
• Data visualization, with an emphasis on ggplot2
• Data science, from data management best practices to data cleaning with dplyr
• Computational reproducibility, from formatting scripts to using rmarkdown to write reproducible reports
• Dropping things that aren’t needed, like classical rank-based nonparametric methods.