High-level interface — rpy2 3.5.13 documentation (original) (raw)

• The robjects package
  • Overview
  • r: the instance of R
    * Evaluating a string as R code
  • R objects
    * RObjectMixin
    * RObjectMixin.r_repr()
    * RObjectMixin.rclass
    * RObjectMixin.slots
    * RObject
  • Environments
    * Environment
    * Environment.clear()
    * Environment.find()
    * Environment.items()
    * Environment.keys()
    * Environment.pop()
    * Environment.popitem()
    * Environment.values()
    * Environments as (temporary) local contexts
  • Functions
    * Callable
    * rcall()
    * Docstrings
    * Function
    * Function.formals()
    * Function.rcall()
    * SignatureTranslatedFunction
    * Automagic Python functions
  • Formulae
    * Formula
    * Formula.environment
    * Formula.getenvironment()
    * Formula.setenvironment()
  • R packages
    * Importing R packages
    * Importing arbitrary R code as a package
    * R namespaces
    * Class diagram
    * InstalledPackage
    * InstalledPackages
    * InstalledSTPackage
    * LibraryError
    * Package
    * PackageData
    * PackageData.fetch()
    * PackageData.names()
    * PackageNotInstalledError
    * ParsedCode
    * STAP
    * STP
    * SignatureTranslatedAnonymousPackage
    * SignatureTranslatedPackage
    * SourceCode
    * SourceCode.as_namespace()
    * WeakPackage
    * data()
    * importr()
    * isinstalled()
    * no_warnings()
    * quiet_require()
    * reval()
    * wherefrom()
    * 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
    * RS4
    * RS4.extends()
    * RS4.isclass()
    * RS4.slotnames()
    * RS4.validobject()
    * Automated R-in-Python class definitions
    * RS4Auto_Type
    * Automated mapping of user-defined classes
  • Object serialization
  • R language
  • Class diagram
• Vectors and arrays
  • Vector
    * Vector.items()
    * Vector.names
    * Vector.sample()
  • Creating vectors
    * BoolVector
    * IntVector
    * IntVector.tabulate()
    * FloatVector
    * StrVector
    * StrVector.factor()
    * ListVector
    * ListVector.from_length()
    * POSIXlt
    * POSIXct
    * POSIXct.isrinstance()
    * POSIXct.iter_localized_datetime()
    * POSIXct.sexp_from_datetime()
    * FactorVector
    * FactorVector
    * FactorVector.isordered
    * FactorVector.iter_labels()
    * FactorVector.nlevels
  • Extracting items
    * Extracting, Python-style
    * Extracting, R-style
  • Assigning items
    * Assigning, Python-style
    * Assigning, R-style
  • Missing values
  • Operators
  • Names
  • Array
    * Array
    * Array.dim
    * Array.dimnames
    * Array.names
  • Matrix
    * Computing on matrices
    * Matrix
    * Matrix.colnames
    * Matrix.crossprod()
    * Matrix.dot()
    * Matrix.eigen()
    * Matrix.ncol
    * Matrix.nrow
    * Matrix.rownames
    * Matrix.svd()
    * Matrix.tcrossprod()
    * Matrix.transpose()
    * Extracting
  • DataFrame
    * Creating objects
    * Extracting elements
    * Python docstrings
    * DataFrame
    * DataFrame.cbind()
    * DataFrame.from_csvfile()
    * DataFrame.head()
    * DataFrame.iter_column()
    * DataFrame.iter_row()
    * DataFrame.ncol
    * DataFrame.nrow
    * DataFrame.rbind()
    * DataFrame.rownames
    * DataFrame.to_csvfile()
• R help
  • Querying on aliases
    * pages()
  • Package documentation
    * Package
    * Package.fetch()
    * Package.name
    * Package.package_path
  • Documentation page
    * Page
    * Page.arguments()
    * Page.description()
    * Page.details()
    * Page.items()
    * Page.iteritems()
    * Page.sections
    * Page.seealso()
    * Page.title()
    * Page.to_docstring()
    * Page.usage()
    * Page.value()
• 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
    * Viewport
    * Viewport.current()
    * Viewport.default()
    * Viewport.down()
    * Viewport.pop()
    * Viewport.push()
    * Viewport.seek()
    * Viewport.up()
    * Viewport.viewport()
    * Grob
    * Grob.draw()
    * GTree
    * GTree.grobtree()
    * GTree.gtree()
    * Class diagram
• DataFrames and dplyr
  • dplyr
  • dplyr in Python
  • tidyr
  • tidyr in Python

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