Getting started

• Overview
  • Background
  • Installation
    • Docker image
      • ipython terminal
      • jupyter notebook
    • Requirements
      • Alternative Python implementations
      • Upgrading from an older release of rpy2
    • Download
    • Linux precompiled binaries
    • OS X (MacOS) precompiled binaries
    • Microsoft’s Windows precompiled binaries
    • Install from source
      • easy_install and pip
      • source archive
      • Compiling on Linux
      • Compiling on OS X
      • Using rpy2 with other versions of R or Python
    • Test an installation
  • Contents
    • rpy2.rinterface
    • rpy2.robjects
    • rpy2.interactive
    • rpy2.rpy_classic
    • rpy2.rlike
  • Design notes
  • Acknowledgements
• Introduction to rpy2
  • Getting started
  • R packages
    • Importing packages
    • Installing packages
  • The r instance
    • Getting R objects
    • Evaluating R code
    • Interpolating R objects into R code strings
  • R vectors
    • Creating rpy2 vectors
  • Calling R functions
  • Getting help
    • Help on a topic within a given package, or currently loaded packages
    • Locate topics among available packages
  • Examples
    • Graphics and plots
    • Linear models
    • Principal component analysis
    • Creating an R vector or matrix, and filling its cells using Python code
    • One more example
• Using rpy2 in notebooks
  • Interoperability with pandas
    • R and pandas data frames
      • From pandas to R
      • From R to pandas
      • Date and time objects
  • DataFrames and dplyr
    • dplyr
    • dplyr in Python
    • tidyr
    • tidyr in Python
  • Data Import
  • Graphics
    • Using ggplot2
    • Using ggplot2 extensions