A collection of writings on R.
Discussion of taking analysis to the next level, repeating it with varying inputs.
Tips for working with date-time information in R. Note that this approach does not use the lubridate package, because handling time zones is “convenient” but inefficient in lubridate.
Examples of timezone issues.
Time series data don’t always come in a clean obvious layout… here are some examples of plots that can be used to identify issues in time series data.
Presentation on how to structure analyses built using scripting.
Example graduate-level optimization analysis using the technique of “linear programming”.
Example engineering analysis illustrating the structure advice from the SimpleData presentation above.
Examples of useful techniques for using R as a computational modeling tool, focusing on graphing and column-wise computation.
Examples of useful techniques for using R as a computational modeling tool, particularly focusing on dealing with timestamp information. Uses PDF markdown output.
Summary/cheatsheet for common things you mignt do with R.