Statistics::R - Perl interface with the R statistical program
Statistics::R is a module to controls the R interpreter (R
project for statistical computing: <http://www.r-project.org/>). It
lets you start R, pass commands to it and retrieve their output. A shared
mode allows several instances of Statistics::R to talk to the same R
process.
The current Statistics::R implementation uses pipes (stdin,
stdout and stderr) to communicate with R. This implementation is more
efficient and reliable than that in versions < 0.20, which relied on
reading and writing intermediary files. As before, this module works on
GNU/Linux, MS Windows and probably many more systems. Statistics::R
has been tested with R version 2 and 3.
use Statistics::R;
# Create a communication bridge with R and start R
my $R = Statistics::R->new();
# Run simple R commands
my $output_file = "file.ps";
$R->run(qq`postscript("$output_file", horizontal=FALSE, width=500, height=500)`);
$R->run(q`plot(c(1, 5, 10), type = "l")`);
$R->run(q`dev.off()`);
# Pass and retrieve data (scalars or arrays)
my $input_value = 1;
$R->set('x', $input_value);
$R->run(q`y <- x^2`);
my $output_value = $R->get('y');
print "y = $output_value\n";
$R->stop();
- new()
- Build a Statistics::R bridge object connecting Perl and R.
Available options are:
- bin
- Specify the full path to the R executable, if it is not automatically
found. See "INSTALLATION".
- shared
- Start a shared bridge. When using a shared bridge, several instances of
Statistics::R can communicate with the same unique R instance. Example:
use Statistics::R;
my $R1 = Statistics::R->new( shared => 1);
my $R2 = Statistics::R->new( shared => 1);
$R1->set( 'x', 'pear' );
my $x = $R2->get( 'x' );
print "x = $x\n";
$R1->stop; # or $R2->stop
Note that in shared mode, you are responsible for calling the
stop() method from one of your Statistics::R
instances when you are finished. But be careful not to call the
stop() method if you still have processes
that need to interact with R!
- run()
- First, start() R if it is not yet running. Then,
execute R commands passed as a string and return the output as a string.
If your commands failed to run in R, an error message will be displayed.
Example:
my $out = $R->run( q`print( 1 + 2 )` );
If you intend on runnning many R commands, it may be
convenient to pass a list of commands or put multiple commands in an
here-doc:
# List of R commands:
my $out1 = $R->run(
q`a <- 2`,
q`b <- 5`,
q`c <- a * b`,
q`print("ok")`
);
# Here-doc with multiple R commands:
my $cmds = <<EOF;
a <- 2
b <- 5
c <- a * b
print('ok')
EOF
my $out2 = $R->run($cmds);
Alternatively, to run commands from a file, use the
run_from_file() method.
The return value you get from run() is a
combination of what R would display on the standard output and the
standard error, but the exact order may differ.
When loading modules, some may write numerous messages on
standard error. You can disable this behavior using the following R
command:
suppressPackageStartupMessages(library(library_to_load))
Note that older versions of R impose a limit on how many
characters can be contained on a line: about 4076 bytes maximum. You
will be warned if this occurs, with an error message stating:
'\0' is an unrecognized escape in character string starting "...
In this case, try to break down your R code into several
smaller, more manageable statements. Alternatively, adding newline
characters "\n" at strategic places in the R statements will
work around the issue.
- run_from_file()
- Similar to run() but reads the R commands from the
specified file. Internally, this method converts the filename to a format
compatible with R and then passes it to the R
source() command to read the file and execute
the commands.
- result()
- Get the results from the last R command.
- set()
- Set the value of an R variable (scalar or vector). Example:
# Create an R scalar
$R->set( 'x', 'pear' );
or
# Create an R list
$R->set( 'y', [1, 2, 3] );
- get()
- Get the value of an R variable (scalar or vector). Example:
# Retrieve an R scalar. $x is a Perl scalar.
my $x = $R->get( 'x' );
or
# Retrieve an R list. $x is a Perl arrayref.
my $y = $R->get( 'y' );
- start()
- Explicitly start R. Most times, you do not need to do that because the
first execution of run() or
set() will automatically call
start().
- stop()
- Stop a running instance of R. You need to call this method after running a
shared bridge. For a simple bridge, you do not need to do this because
stop() is automatically called when the Statistics::R
object goes out of scope.
- restart()
- stop() and start()
R.
- bin()
- Get or set the path to the R executable. Note that the path will be
available only after start() has been called.
- version()
- Get the version number of R.
- is_shared()
- Was R started in shared mode?
- is_started()
- Is R running?
- pid()
- Return the PID of the running R process
Since Statistics::R relies on R to work, you need to
install R first. See this page for downloads,
<http://www.r-project.org/>. If R is in your PATH environment
variable, then it should be available from a terminal and be detected
automatically by Statistics::R. This means that you don't have to do
anything on Linux systems to get Statistics::R working. On Windows
systems, in addition to the folders described in PATH, the usual suspects
will be checked for the presence of the R binary, e.g. C:\Program Files\R.
If Statistics::R does not find where R is installed, your last
recourse is to specify its full path when calling new():
my $R = Statistics::R->new( bin => $fullpath );
You also need to have the following CPAN Perl modules
installed:
- IPC::Run
- Regexp::Common
- Text::Balanced
(>= 1.97)
- Text::Wrap
- version (>=
0.77)
- Statistics::R::Win32
- Statistics::R::Legacy
- The R-project web site: <http://www.r-project.org/>
- Statistics::* modules for Perl:
<http://search.cpan.org/search?query=Statistics&mode=module>
Florent Angly <florent.angly@gmail.com> (2011 rewrite)
Graciliano M. P. <gm@virtuasites.com.br> (original code)
Florent Angly <florent.angly@gmail.com>
Brian Cassidy <bricas@cpan.org>
This program is free software; you can redistribute it and/or
modify it under the same terms as Perl itself.
All complex software has bugs lurking in it, and this program is
no exception. If you find a bug, please report it on the CPAN Tracker of
Statistics::R:
<http://rt.cpan.org/Dist/Display.html?Name=Statistics-R>
Bug reports, suggestions and patches are welcome. The
Statistics::R code is developed on Github
(<http://github.com/bricas/statistics-r>) and is under Git revision
control. To get the latest revision, run:
git clone git://github.com/bricas/statistics-r.git