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High-level interface
High-level interface
¶
The robjects package
Overview
r
: the instance of
R
Evaluating a string as R code
R objects
Environments
Environments as (temporary) local contexts
Functions
Callable
rcall()
Docstrings
Automagic Python functions
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
R language
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
Customizing the conversion
Interoperability with pandas
R
and
pandas
data frames
From
pandas
to
R
From
R
to
pandas
Date and time objects
Graphics
Introduction
Graphical devices
Getting ready
Package
lattice
Introduction
Scatter plot
Box plot
Other plots
Package
ggplot2
Introduction
Plot
Aesthethics mapping
Geometry
Axes
Facets
Extensions and new features
Class diagram
Package
grid
Custom ggplot2 layout with grid
Classes
Class diagram
DataFrames and dplyr
dplyr
dplyr in Python
tidyr
tidyr in Python
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rpy2 3.4.5 documentation
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High-level interface