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R-R.oo-1.22.0-1.lbn25.noarch
Methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers. The package has been developed since 2001 and is now considered very stable. This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.
Located in LBN / … / Big Data / BastionLinux 25
R-R.rsp-0.42.0-1.lbn25.noarch
The RSP markup language makes any text-based document come alive. RSP provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. 'Today's date is <%=Sys.Date()%>'. Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries. RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things. Functions rstring() and rcat() make it easy to process RSP strings, rsource() sources an RSP file as it was an R script, while rfile() compiles it (even online) into its final output format, e.g. rfile('report.tex.rsp') generates 'report.pdf' and rfile('report.md.rsp') generates 'report.html'. RSP is ideal for self-contained scientific reports and R package vignettes. It's easy to use - if you know how to write an R script, you'll be up and running within minutes.
Located in LBN / … / Big Data / BastionLinux 25
R-R.utils-2.6.0-1.lbn25.noarch
Utility functions useful when programming and developing R packages.
Located in LBN / … / Big Data / BastionLinux 25
R-RCurl-1.95.4.10-1.lbn25.x86_64
The package allows one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Located in LBN / … / Big Data / BastionLinux 25
R-RInside-0.2.14-6.lbn25.x86_64
The RInside packages makes it easier to have "R inside" your C++ application by providing a C++ wrapper class providing the R interpreter.
Located in LBN / … / Big Data / BastionLinux 25
R-ROC-1.46.0-5.lbn25.x86_64
Utilities for ROC with uarray focus.
Located in LBN / … / Big Data / BastionLinux 25
R-RODBC-1.3.15-3.lbn25.x86_64
An ODBC database interface for R.
Located in LBN / … / Big Data / BastionLinux 25
R-RSQLite-1.1.2-4.lbn25.x86_64
A SQLite database interface definition for communication between R and SQLite databases.
Located in LBN / … / Big Data / BastionLinux 25
R-Rcompression-0.93.2-17.lbn25.x86_64
This package is a basic R interface to the zlib and bzip2 facilities for compressing and uncompressing data that are in memory rather than in files.
Located in LBN / … / Big Data / BastionLinux 25
R-Rcpp-0.12.16-1.lbn25.x86_64
The Rcpp package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about Rcpp is provided by several vignettes included in this package, via the Rcpp Gallery site at http://gallery.rcpp.org, the paper by Eddelbuettel and Francois (2011, JSS), and the book by Eddelbuettel (2013, Springer). See citation("Rcpp") for details on the last two.
Located in LBN / … / Big Data / BastionLinux 25

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