High-level interface

• The robjects package
  • Overview
  • r: the instance of R
    • Evaluating a string as R code
  • R objects
  • Environments
  • Functions
    • Callable
    • rcall()
    • Docstrings
  • Formulae
  • R packages
    • Importing R packages
    • Importing arbitrary R code as a package
      • R namespaces
      • Class diagram
    • Finding where an R symbol is coming from
    • Installing/removing R packages
  • Working with R’s OOPs
    • S3 objects
    • S4 objects
      • Basic handling
      • Mapping S4 classes to Python classes
        • Custom conversion
        • Class attributes
        • Methods
      • Manual R-in-Python class definition
      • Automated R-in-Python class definitions
    • Automated mapping of user-defined classes
  • Object serialization
  • Class diagram
• Vectors and arrays
  • Creating vectors
    • FactorVector
  • Extracting items
    • Extracting, Python-style
    • Extracting, R-style
  • Assigning items
    • Assigning, Python-style
    • Assigning, R-style
  • Missing values
  • Operators
  • Names
  • Array
  • Matrix
    • Computing on matrices
    • Extracting
  • DataFrame
    • Creating objects
    • Extracting elements
    • Python docstrings
• R help
  • Querying on aliases
  • Package documentation
  • Documentation page
• Mapping rpy2 objects to arbitrary python objects
  • Protocols
  • Conversion
    • Converter objects
    • Local conversion rules
    • ri2ro()
    • ri2py()
    • p2ri()
    • Customizing the conversion
• Graphics
  • Introduction
    • Graphical devices
    • Getting ready
  • Package lattice
    • Introduction
    • Scatter plot
    • Box plot
    • Other plots
  • Package ggplot2
    • Introduction
    • Plot
      • Aesthethics mapping
      • Geometry
      • Axes
      • Facets
  • Package grid
    • Custom ggplot2 layout with grid
    • Classes
    • Class diagram
• DataFrames and dplyr
  • dplyr
  • dplyr in Python
  • tidyr
  • tidyr in Python