Links
Here are some links to books and articles that I rather enjoy. I’m putting them up here in part so that I can find them in the future.
R Programming
- R for Data Science: An excellent introduction to R and the tidyverse.
- Advanced R: Complex concepts, like functional programming, using R.
- R Inferno: A humorous guide to base R
- Regular Expressions in R: Simple examples because I can never remember the character classes.
- ggplot color reference: Predefined colors and brewing.
- tableone: Tools for describing cohorts.
- R Packages: For package development and github.
- Programming with Dplyr: Examples on how to work with non-standard evaluation within functions.
- gganimate: Using ggplot to create animations.
- Tidy evaluation: How to use non-standard evaluation in tidyverse functions.
Python
- Whirlwind tour of Python: Basic introduction to Python
- Automate the Boring Stuff with Python: Similarly simple introduction.
- Merging with pandas: In depth guide to horizontal joins
- Pandas Documentation: Library for data manipulation.
- Seaborn: Lovely plots for Python
Stats
- Non-parametric tests: Simple non-parametric tests and example R code
- Modeling with fixed, random, and mixed effects
- Bootstrapping a confidence interval for correlation
- Generalized estimating equations (GEE) explainer
- Survival analysis tutorial
Other
- Dual scale axes: A critique of graphs with differently scaled axes.
- Advent of Code Great practice problems for coding. They can be done in any language and range from quite easy to more difficult than I can handle.
- Regex crossword puzzles: A fun way to practice regular expressions.