Resources

Additional R Resources

Books:

• R for Data Science - http://r4ds.had.co.nz/
• R Packages - http://r-pkgs.had.co.nz/
• R for SAS and SPSS Users: http://r4stats.com/books/r4sas-spss/ Book Link
• ggplot2 Reference: https://www.amazon.com/dp/0387981403/ref=cm_sw_su_dp?tag=ggplot2-20

Packages:

• Plotting

  • ggplot2 for static visualization
  • plotly for interactive visualization
  • leaflet for interactive mapping

• Data Importing

  • readr for reading .csv and fwf files.
  • readxl for reading .xls and .xlsx files.
  • haven for SAS, SPSS, and Stata files.

• Data Shaping

  • dplyr for manipulating data.
  • tidyr for tidying data.
  • reshape for casting and melting data
  • stringr for working with strings.
  • lubridate for working with date/times.
  • purrr for functional programming

• Machine Learning:

  • rpart for recursive partitioning (decision trees)
  • caret for model tuning and cross-validation
  • randomforest for random forest generation
  • nnet for simple neural networks
  • e1071 for SVMs, Naïve Bayes, Fourier transforms, and clustering
  • Microsoft Machine Learning Server:
    • Introduction for ML Server
    • RevoScaleR
    • MicrosoftML