Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

Found 30 packages in 0.02 seconds

svMisc — by Philippe Grosjean, 3 years ago

SciViews GUI API - Miscellaneous functions

Supporting functions for the GUI API (various utility functions)

sos — by Spencer Graves, 4 months ago

Search Contributed R Packages, Sort by Package

Search contributed R packages, sort by package.

RInside — by Dirk Eddelbuettel, 23 days ago

C++ Classes to Embed R in C++ Applications

C++ classes to embed R in C++ applications The 'RInside' packages makes it easier to have "R inside" your C++ application by providing a C++ wrapper class providing the R interpreter. As R itself is embedded into your application, a shared library build of R is required. This works on Linux, OS X and even on Windows provided you use the same tools used to build R itself. Numerous examples are provided in the eight subdirectories of the examples/ directory of the installed package: standard, mpi (for parallel computing) qt (showing how to embed 'RInside' inside a Qt GUI application), wt (showing how to build a "web-application" using the Wt toolkit), armadillo (for 'RInside' use with 'RcppArmadillo') and eigen (for 'RInside' use with 'RcppEigen'). The example use GNUmakefile(s) with GNU extensions, so a GNU make is required (and will use the GNUmakefile automatically). Doxygen-generated documentation of the C++ classes is available at the 'RInside' website as well.

RcppGSL — by Dirk Eddelbuettel, 3 months ago

'Rcpp' Integration for 'GNU GSL' Vectors and Matrices

'Rcpp' integration for 'GNU GSL' vectors and matrices The 'GNU Scientific Library' (or 'GSL') is a collection of numerical routines for scientific computing. It is particularly useful for C and C++ programs as it provides a standard C interface to a wide range of mathematical routines. There are over 1000 functions in total with an extensive test suite. The 'RcppGSL' package provides an easy-to-use interface between 'GSL' data structures and R using concepts from 'Rcpp' which is itself a package that eases the interfaces between R and C++. This package also serves as a prime example of how to build a package that uses 'Rcpp' to connect to another third-party library. The 'autoconf' script, 'inline' plugin and example package can all be used as a stanza to write a similar package against another library.

RcppExamples — by Dirk Eddelbuettel, 6 months ago

Examples using 'Rcpp' to Interface R and C++

Examples for Seamless R and C++ integration The 'Rcpp' package contains a C++ library that facilitates the integration of R and C++ in various ways. This package provides some usage examples. Note that the documentation in this package currently does not cover all the features in the package. It is not even close. On the other hand, the site < http://gallery.rcpp.org> is regrouping a large number of examples for 'Rcpp'.

RProtoBuf — by Dirk Eddelbuettel, 3 months ago

R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)

Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal 'RPC' protocols and file formats. Additional documentation is available in two included vignettes one of which corresponds to our paper in the Journal of Statistical Software (2016, v71i02). Either version 2 or 3 of the 'Protocol Buffers' 'API' is supported.

base64 — by Jeroen Ooms, a year ago

Base64 Encoder and Decoder

Compatibility wrapper to replace the orphaned package by Romain Francois. New applications should use the 'openssl' or 'base64enc' package instead.

RcppClassic — by Dirk Eddelbuettel, 2 years ago

Deprecated 'classic' Rcpp API

The RcppClassic package provides a deprecated C++ library which facilitates the integration of R and C++. New projects should use the new Rcpp API in the Rcpp package.

bigFastlm — by Jared Huling, 3 months ago

Fast Linear Models for Objects from the 'bigmemory' Package

A reimplementation of the fastLm() functionality of 'RcppEigen' for big.matrix objects for fast out-of-memory linear model fitting.

mvst — by Antonio Parisi, 10 months ago

Bayesian Inference for the Multivariate Skew-t Model

Estimates the multivariate skew-t and nested models, as described in the articles Liseo, B., Parisi, A. (2013). Bayesian inference for the multivariate skew-normal model: a population Monte Carlo approach. Comput. Statist. Data Anal. and in Parisi, A., Liseo, B. Objective Bayesian analysis for the multivariate skew-t model (to appear).