R for Everyone: Advanced Analytics and Graphics
Author: Jared P. Lander
What will you learn:
- Explore R, RStudio, and R packages
- Use R for math: variable types, vectors, calling functions, and more
- Exploit data structures, including data.frames, matrices, and lists
- Read many different types of data
- Create attractive, intuitive statistical graphics
- Write user-defined functions
- Control program flow with if, ifelse, and complex checks
- Improve program efficiency with group manipulations
- Combine and reshape multiple datasets
- Manipulate strings using R’s facilities and regular expressions
- Create normal, binomial, and Poisson probability distributions
- Build linear, generalized linear, and nonlinear models
- Program basic statistics: mean, standard deviation, and t-tests
- Train machine learning models
- Assess the quality of models and variable selection
- Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods
- Analyze univariate and multivariate time series data
- Group data via K-means and hierarchical clustering
- Prepare reports, slideshows, and web pages with knitr
- Display interactive data with RMarkdown and html-widgets
- Implement dashboards with Shiny
- Build reusable R packages with devtools and Rcpp
