- To learn basic programming skills in R such as for loops, if statements, function
construction, using internal packages and more.
- To develop methods for simulating data in a variety of situations.
- To learn how to read/write data files and plot figures used for simulation studies.
- To develop skills for analyzing and interpreting R output in applications of statistical
methods to problems in many fields of science.
- Advanced Plotting and Programming (For Loops, Writing Functions, Missing Data, Tables).
- Distributions and Statistical Analyses (ANOVA, Regression, Categorical, Nonparametric
Methods).
- Simulations, Markov Chains, Monte Carlo Methods.
