NAME
    Statistics::R::IO - Perl interface to serialized R data

VERSION
    version 0.041

SYNOPSIS
        use Statistics::R::IO;
    
        my $var = Statistics::R::IO::readRDS('file.rds');
        print $var->to_pl;
    
        my %r_workspace = Statistics::R::IO::readRData('.RData');
        while (my ($var_name, $value) = each %r_workspace) {
            print $var_name, $value;
        }

        my $pi = Statistics::R::IO::evalRserve('pi');
        print $pi->to_pl;

DESCRIPTION
    This module is a pure-Perl implementation for reading native data files
    produced by the R statistical computing environmnent
    <http://www.r-project.org>)

    It provides routines for reading files in the two primary file formats
    used in R for serializing native objects:

    RDS RDS files store a serialization of a single R object (and, if the
        object contains references to other objects, such as environments,
        all the referenced objects as well). These files are created in R
        using the "readRDS" function and are typically named with the ".rds"
        file extension.

    RData
        RData files store a serialization of a collection of *named*
        objects, typically a workspace. These files are created in R using
        the "save" function and are typically named with the ".RData" file
        extension. (Contents of the R workspace can also be saved
        automatically on exit to the file named .RData, which is by default
        automatically read in on startup.)

    As of version 0.04, the module can also evaluate R code on a remote host
    that runs the Rserve <http://www.rforge.net/Rserve/> binary R server.
    This allows Perl programs to access all facilities of R without the need
    to have a local install of R or link to an R library.

    See "SUBROUTINES" for invocation and usage information on individual
    subroutines, and the R Internals manual
    <http://cran.r-project.org/doc/manuals/R-ints.html> for the
    specification of the file formats.

FUNCTIONS
  readRDS EXPR
    Reads a file in RDS format whose filename is given by EXPR and returns a
    Statistics::R::REXP object.

  readRData EXPR
    Reads a file in RData format whose filename is given by EXPR and returns
    a hash whose keys are the names of objects stored in the file with
    corresponding values as Statistics::R::REXP instances.

  evalRserve REXPR [ HOSTNAME [, PORT] | HANDLE]
    Evaluates an R expression, given as text string in REXPR, on an Rserve
    <http://www.rforge.net/Rserve/> server and returns its result as a
    Statistics::R::REXP object.

    The server location can be specified either by its host name and
    (optionally) port or by a connected instance of IO::Handle. The caller
    passing the HANDLE is responsible for reading (and checking) the server
    ID that is returned in the first 32-byte response when the connection
    was established. This allows opening the connection once and reusing it
    in multiple calls to 'evalRserve'.

    If only REXPR is given, the function assumes that the server runs on the
    localhost. If PORT is not specified, it defaults to the standard Rserve
    port, 6311.

    The function will close the connection to the Rserve host if it has
    opened it itself, but not if the connection was passed as a HANDLE.

EXPORT
    Nothing by default. Optionally, subroutines "readRDS", "readRData", and
    "evalRserve", or ":all" for all three.

DEPENDENCIES
    Requires perl 5.012 or newer.

  Core modules
    *   strict

    *   warnings

    *   overload

    *   Carp

    *   Exporter

    *   Module::Build

    *   Scalar::Util

    *   Test::More

  Additional CPAN modules
    *   Moo

    *   namespace::clean

    *   Test::Fatal

BUGS AND LIMITATIONS
    The module currently handles the 'version 2' serialization format, used
    since R 1.4.0 (released in December 2001). Only XDR and native-order
    binary is implemented, and since the R documentation describes the ASCII
    save format as "now mainly of historical interest", this is unlikely to
    change soon. No check is performed that a file stored in native-order
    binary was created on a platform that used the same order, and it is up
    to the caller to ensure compatibility. (Given that the default save
    format is XDR, and the prevalence of Intel platforms, this is unlikely
    to be a problem for either publicly-distributed or internal data files.)

    Data files compressed with 'gzip' and 'bzip2' are supported, but not
    'xz' ones. Again, given the R defaults ('gzip') and the fact that
    "IO::Uncompress::UnXz" is not production-ready, this is unlikely to
    change soon.

    There are some R types that are not (yet) implemented, although all
    typical "user-facing" types -- such as vectors, lists, and environments
    -- are. The remaining R types will be implemented as-needed; in other
    words, if you come across one that you need to read a particular file,
    please send me the type (the id will included in the "unimplemented
    SEXPTYPE" error message) and, if possible, how it was generated.

    There are no known bugs in this module. Please report any bugs or
    feature requests to "bug-statistics-r-io at rt.cpan.org", or through the
    web interface at
    <http://rt.cpan.org/NoAuth/ReportBug.html?Queue=Statistics-R-IO>. I will
    be notified, and then you'll automatically be notified of progress on
    your bug as I make changes.

SUPPORT
    You can find documentation for this module with the perldoc command.

        perldoc Statistics::R::IO

    You can also look for information at:

    *   RT: CPAN's request tracker (report bugs here)

        <http://rt.cpan.org/NoAuth/Bugs.html?Dist=Statistics-R-IO>

    *   AnnoCPAN: Annotated CPAN documentation

        <http://annocpan.org/dist/Statistics-R-IO>

    *   CPAN Ratings

        <http://cpanratings.perl.org/d/Statistics-R-IO>

    *   Search CPAN

        <http://search.cpan.org/dist/Statistics-R-IO/>

AUTHOR
    Davor Cubranic <cubranic@stat.ubc.ca>

COPYRIGHT AND LICENSE
    This software is Copyright (c) 2014 by University of British Columbia.

    This is free software, licensed under:

      The GNU General Public License, Version 3, June 2007

