Packages — R (Page 6 of 9)
r-shinydashboard 0.7.0 — Create dashboards with shiny
This package provides an extension to the Shiny web application framework for R, making it easy to create attractive dashboards.
r-shortread 1.38.0 — FASTQ input and manipulation tools
This package implements sampling, iteration, and input of FASTQ files. It includes functions for filtering and trimming reads, and for generating a quality assessment report. Data are represented as
DNAStringSet-derived objects, and easily manipulated for a diversity of purposes. The package also contains legacy support for early single-end, ungapped alignment formats.
r-signal 0.7-6 — Signal processing
This package provides a set of signal processing functions originally written for Matlab and GNU Octave. It includes filter generation utilities, filtering functions, resampling routines, and visualization of filter models. It also includes interpolation functions.
r-singlecellexperiment 1.2.0 — S4 classes for single cell data
This package defines an S4 class for storing data from single-cell experiments. This includes specialized methods to store and retrieve spike-in information, dimensionality reduction coordinates and size factors for each cell, along with the usual metadata for genes and libraries.
r-sm 2.2-5.5 — Smoothing methods for nonparametric regression and density estimation
This is software accompanying the book 'Applied Smoothing Techniques for Data Analysis---The Kernel Approach with S-Plus Illustrations', Oxford University Press. It provides smoothing methods for nonparametric regression and density estimation
r-smoother 1.1 — Functions relating to the smoothing of numerical data
This package provides a collection of methods for smoothing numerical data, commencing with a port of the Matlab gaussian window smoothing function. In addition, several functions typically used in smoothing of financial data are included.
r-sn 1.5-2 — The skew-normal and skew-t distributions
This packages provides functionalities to build and manipulate probability distributions of the skew-normal family and some related ones, notably the skew-t family, and provides related statistical methods for data fitting and diagnostics, in the univariate and the multivariate case.
r-sna 2.4 — Tools for social network analysis
This package provides a range of tools for social network analysis, including node and graph-level indices, structural distance and covariance methods, structural equivalence detection, network regression, random graph generation, and 2D/3D network visualization.
r-snow 0.4-2 — Support for simple parallel computing in R
The snow package provides support for simple parallel computing on a network of workstations using R. A master R process calls
makeCluster to start a cluster of worker processes; the master process then uses functions such as
clusterApply to execute R code on the worker processes and collect and return the results on the master.
r-snowfall 1.84-6.1 — Easier cluster computing
This package is a usability wrapper around snow for easier development of parallel R programs. This package offers e.g. extended error checks, and additional functions. All functions work in sequential mode, too, if no cluster is present or wished. The package is also designed as connector to the cluster management tool
sfCluster, but can also used without it.
r-snpstats 1.30.0 — Methods for SNP association studies
This package provides classes and statistical methods for large single-nucleotide polymorphism (SNP) association studies. This extends the earlier snpMatrix package, allowing for uncertainty in genotypes.
r-sourcetools 0.1.7 — Tools for reading, tokenizing and parsing R code
The sourcetools package provides both an R and C++ interface for the tokenization of R code, and helpers for interacting with the tokenized representation of R code.
r-sp 1.3-1 — Classes and methods for spatial data
This package provides classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc.
r-spams 2.6-2017-03-22 — Toolbox for solving sparse estimation problems
SPAMS (SPArse Modeling Software) is an optimization toolbox for solving various sparse estimation problems. It includes tools for the following problems:
Dictionary learning and matrix factorization (NMF, sparse principle component analysis (PCA), ...)
Solving sparse decomposition problems with LARS, coordinate descent, OMP, SOMP, proximal methods
Solving structured sparse decomposition problems (l1/l2, l1/linf, sparse group lasso, tree-structured regularization, structured sparsity with overlapping groups,...).
r-sparql 1.16 — SPARQL client for R
This package provides an interface to use SPARQL to pose SELECT or UPDATE queries to an end-point.
r-sparsem 1.77 — Sparse linear algebra
This package provides some basic linear algebra functionality for sparse matrices. It includes Cholesky decomposition and backsolving as well as standard R subsetting and Kronecker products.
r-spatial 7.3-11 — Functions for kriging and point pattern analysis
This package provides functions for kriging and point pattern analysis.
r-splus2r 1.2-2 — Supplemental S-PLUS functionality in R
Currently there are many functions in S-PLUS that are missing in R. To facilitate the conversion of S-PLUS packages to R packages, this package provides some missing S-PLUS functionality in R.
r-sqldf 0.4-11 — Manipulate R data frames using SQL
sqldf function is typically passed a single argument which is an SQL select statement where the table names are ordinary R data frame names.
sqldf transparently sets up a database, imports the data frames into that database, performs the SQL statement and returns the result using a heuristic to determine which class to assign to each column of the returned data frame. The
read.csv.sql functions can also be used to read filtered files into R even if the original files are larger than R itself can handle.
r-squarem 2017.10-1 — Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms
This package provides algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette.
r-statmod 1.4.30 — Statistical modeling
This package provides a collection of algorithms and functions to aid statistical modeling. It includes growth curve comparisons, limiting dilution analysis (aka ELDA), mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. It also includes advanced generalized linear model functions that implement secure convergence, dispersion modeling and Tweedie power-law families.
r-statnet-common 4.1.2 — R scripts and utilities used by the Statnet software
This package provides non-statistical utilities used by the software developed by the Statnet Project.
r-stringdist 0.9.5.1 — Approximate string matching and string distance functions
This package implements an approximate string matching version of R's native
match function. It can calculate various string distances based on edits (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q- gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided as well. Distances can be computed between character vectors while taking proper care of encoding or between integer vectors representing generic sequences.
r-stringi 1.2.3 — Character string processing facilities
This package allows for fast, correct, consistent, portable, as well as convenient character string/text processing in every locale and any native encoding. Owing to the use of the ICU library, the package provides R users with platform-independent functions known to Java, Perl, Python, PHP, and Ruby programmers. Among available features there are: pattern searching (e.g. via regular expressions), random string generation, string collation, transliteration, concatenation, date-time formatting and parsing, etc.
r-stringr 1.3.1 — Simple, consistent wrappers for common string operations
Stringr is a consistent, simple and easy to use set of wrappers around the fantastic 'stringi' package. All function and argument names (and positions) are consistent, all functions deal with "NA"'s and zero length vectors in the same way, and the output from one function is easy to feed into the input of another.
r-subplex 1.5-4 — Unconstrained optimization using the subplex algorithm
This package implements the Subplex optimization algorithm. It solves unconstrained optimization problems using a simplex method on subspaces. The method is well suited for optimizing objective functions that are noisy or are discontinuous at the solution.
r-summarizedexperiment 1.10.1 — Container for representing genomic ranges by sample
The SummarizedExperiment container contains one or more assays, each represented by a matrix-like object of numeric or other mode. The rows typically represent genomic ranges of interest and the columns represent samples.
r-suppdists 1.1-9.4 — Supplementary distributions
This package provides ten distributions supplementing those built into R. Inverse Gauss, Kruskal-Wallis, Kendall's Tau, Friedman's chi squared, Spearman's rho, maximum F ratio, the Pearson product moment correlation coefficient, Johnson distributions, normal scores and generalized hypergeometric distributions. In addition two random number generators of George Marsaglia are included.
r-survival 2.42-3 — Survival analysis
This package contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.
r-sushi 1.18.0 — Tools for visualizing genomics data
This package provides flexible, quantitative, and integrative genomic visualizations for publication-quality multi-panel figures.
r-sva 3.28.0 — Surrogate variable analysis
This package contains functions for removing batch effects and other unwanted variation in high-throughput experiment. It also contains functions for identifying and building surrogate variables for high-dimensional data sets. Surrogate variables are covariates constructed directly from high-dimensional data like gene expression/RNA sequencing/methylation/brain imaging data that can be used in subsequent analyses to adjust for unknown, unmodeled, or latent sources of noise.
r-svglite 1.2.1 — SVG graphics device
svglite is a graphics device that produces clean SVG (Scalable Vector Graphics) output, suitable for use on the web, or hand editing. Compared to the built-in
svglite is considerably faster, produces smaller files, and leaves text as is.
r-synchronicity 1.3.4 — Boost mutex functionality in R
This package provides support for synchronization via mutexes and may eventually support interprocess communication and message passing.
r-systempiper 1.14.0 — Next generation sequencing workflow and reporting environment
This R package provides tools for building and running automated end-to-end analysis workflows for a wide range of next generation sequence (NGS) applications such as RNA-Seq, ChIP-Seq, VAR-Seq and Ribo-Seq. Important features include a uniform workflow interface across different NGS applications, automated report generation, and support for running both R and command-line software, such as NGS aligners or peak/variant callers, on local computers or compute clusters. Efficient handling of complex sample sets and experimental designs is facilitated by a consistently implemented sample annotation infrastructure.
r-tclust 1.4-1 — Robust trimmed clustering
This package implements different robust clustering algorithms (
tclust) based on trimming and including some graphical diagnostic tools (
r-testthat 2.0.0 — Unit testing for R
This package provides a unit testing system for R designed to be fun, flexible and easy to set up.
r-tgconfig 0.0.0.9000-1.1e02c76 — Infrastructure for managing package parameters
The goal of tgconfig is to provide infrastructure for managing package parameters.
r-tgstat 1.0.2-1.4f8e60c — Tanay's group statistical utilities
The goal of tgstat is to provide fast and efficient statistical tools.
r-tibble 1.4.2 — Simple data frames
This package provides a
tbl_df class that offers better checking and printing capabilities than traditional data frames.
r-tidyr 0.8.1 — Tidy data with `spread()` and `gather()` functions
tidyr is a reframing of the reshape2 package designed to accompany the tidy data framework, and to work hand-in-hand with magrittr and dplyr to build a solid pipeline for data analysis. It is designed specifically for tidying data, not the general reshaping that reshape2 does, or the general aggregation that reshape did. In particular, built-in methods only work for data frames, and tidyr provides no margins or aggregation.
r-tidyselect 0.2.4 — Select from a set of strings
This package provides a backend for the selecting functions of the tidyverse. It makes it easy to implement select-like functions in your own packages in a way that is consistent with other tidyverse interfaces for selection.
r-tidyverse 1.2.1 — Install and load packages from the "Tidyverse"
tidyverse is a set of packages that work in harmony because they share common data representations and API design. This package is designed to make it easy to install and load multiple tidyverse packages in a single step.
r-timedate 3043.102 — Chronological and calendar objects
This package provides an environment for teaching "Financial Engineering and Computational Finance" and for managing chronological and calendar objects.
r-tinytex 0.5 — Helper functions for TeX Live and compiling LaTeX documents
This package provides helper functions to install and maintain the LaTeX distribution named TinyTeX, a lightweight, cross-platform, portable, and easy-to-maintain version of TeX Live. This package also contains helper functions to compile LaTeX documents, and install missing LaTeX packages automatically.
r-topgo 2.32.0 — Enrichment analysis for gene ontology
The topGO package provides tools for testing gene ontology (GO) terms while accounting for the topology of the GO graph. Different test statistics and different methods for eliminating local similarities and dependencies between GO terms can be implemented and applied.
r-trend 1.1.0 — Non-parametric trend tests and change-point detection
The analysis of environmental data often requires the detection of trends and change-points. This package includes tests for trend detection (Cox-Stuart Trend Test, Mann-Kendall Trend Test, (correlated) Hirsch-Slack Test, partial Mann-Kendall Trend Test, multivariate (multisite) Mann-Kendall Trend Test, (Seasonal) Sen's slope, partial Pearson and Spearman correlation trend test), change-point detection (Lanzante's test procedures, Pettitt's test, Buishand Range Test, Buishand U Test, Standard Normal Homogeinity Test), detection of non-randomness (Wallis-Moore Phase Frequency Test, Bartels rank von Neumann's ratio test, Wald-Wolfowitz Test) and the two sample Robust Rank-Order Distributional Test.
r-trimcluster 0.1-2 — Cluster analysis with trimming
The trimmed k-means clustering method by Cuesta-Albertos, Gordaliza and Matran (1997). This optimizes the k-means criterion under trimming a portion of the points.
r-truncnorm 1.0-8 — Truncated normal distribution
This package provides functions for the truncated normal distribution with mean equal to
mean and standard deviation equal to
sd. It includes density, distribution, quantile, and expected value functions, as well as a random generation function.
r-tsa 1.01 — Time series analysis
This package contains R functions and datasets detailed in the book "Time Series Analysis with Applications in R (second edition)" by Jonathan Cryer and Kung-Sik Chan.
r-tseries 0.10-45 — Time series analysis and computational finance
This package provides functions relating to time series analysis and computational finance.
r-tsne 0.1-3 — t-Distributed Stochastic Neighbor Embedding for R
This package provides a pure R implementation of the t-SNE algorithm.
r-tsp 1.1-6 — Traveling salesperson problem (TSP)
This package provides basic infrastructure and some algorithms for the traveling salesperson problem(TSP) (also known as the traveling salesman problem).
r-ttr 0.23-3 — Technical trading rules
This package provides functions and data to construct technical trading rules with R.
r-txdb-hsapiens-ucsc-hg19-knowngene 3.2.2 — Annotation package for human genome in TxDb format
This package provides an annotation database of Homo sapiens genome data. It is derived from the UCSC hg19 genome and based on the "knownGene" track. The database is exposed as a
r-txdb-mmusculus-ucsc-mm10-knowngene 3.4.0 — Annotation package for TxDb knownGene object(s) for Mouse
This package loads a TxDb object, which is an R interface to prefabricated databases contained in this package. This package provides the TxDb object of Mouse data as provided by UCSC (mm10, December 2011) based on the knownGene track.
r-tximport 1.8.0 — Import and summarize transcript-level estimates for gene-level analysis
This package provides tools to import transcript-level abundance, estimated counts and transcript lengths, and to summarize them into matrices for use with downstream gene-level analysis packages. Average transcript length, weighted by sample-specific transcript abundance estimates, is provided as a matrix which can be used as an offset for different expression of gene-level counts.
r-urca 1.3-0 — Unit root and cointegration tests for time series data
This package provides unit root and cointegration tests encountered in applied econometric analysis.
r-utf8 1.1.4 — Unicode text processing
This package provides tools to process and print UTF-8 encoded international text (Unicode). Input, validate, normalize, encode, format, and display.
r-uuid 0.1-2 — Tools for generating and handling of UUIDs
This package provides tools for generating and handling of Universally Unique Identifiers (UUIDs).
r-variantannotation 1.26.0 — Package for annotation of genetic variants
This R package can annotate variants, compute amino acid coding changes and predict coding outcomes.
r-vcd 1.4-4 — Visualizing categorical data
This package provides visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was originally inspired by the book "Visualizing Categorical Data" by Michael Friendly and is now the main support package for a new book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer (2015).
r-vegan 2.5-2 — Functions for community ecology
The vegan package provides tools for descriptive community ecology. It has most basic functions of diversity analysis, community ordination and dissimilarity analysis. Most of its multivariate tools can be used for other data types as well.
r-venndiagram 1.6.20 — Generate High-Resolution Venn and Euler Plots
This package provides a set of functions to generate high-resolution Venn and Euler plots. It includes handling for several special cases, including two-case scaling, and extensive customization of plot shape and structure.
r-vgam 1.0-5 — Vector generalized linear and additive models
This package is an implementation of about 6 major classes of statistical regression models. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate generalised linear models.
r-vim 4.7.0 — Visualization and imputation of missing values
This package provides tools for the visualization of missing and/or imputed values are introduced, which can be used for exploring the data and the structure of the missing and/or imputed values. Depending on this structure of the missing values, the corresponding methods may help to identify the mechanism generating the missing values and allows to explore the data including missing values. In addition, the quality of imputation can be visually explored using various univariate, bivariate, multiple and multivariate plot methods.
r-vioplot 0.2 — Violin plot
This package provides a violin plot, which is a combination of a box plot and a kernel density plot.
r-vipor 0.4.5 — Plot categorical data using noise and density estimates
This package provides tools to generate a violin point plot, a combination of a violin/histogram plot and a scatter plot by offsetting points within a category based on their density using quasirandom noise.
r-viridis 0.5.1 — Matplotlib default color map
This package is a port of the new http://matplotlib.org/ color maps (
inferno) to R. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness.
r-viridislite 0.3.0 — Default color maps from matplotlib
This package is a port of the new
matplotlib color maps ('viridis', 'magma', 'plasma' and 'inferno') to R. matplotlib is a popular plotting library for Python. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness. This is the 'lite' version of the more complete
r-vsn 3.48.1 — Variance stabilization and calibration for microarray data
The package implements a method for normalising microarray intensities, and works for single- and multiple-color arrays. It can also be used for data from other technologies, as long as they have similar format. The method uses a robust variant of the maximum-likelihood estimator for an additive-multiplicative error model and affine calibration. The model incorporates data calibration step (a.k.a. normalization), a model for the dependence of the variance on the mean intensity and a variance stabilizing data transformation. Differences between transformed intensities are analogous to "normalized log-ratios". However, in contrast to the latter, their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.
r-webshot 0.5.0 — Take screenshots of web pages
Webshot makes it easy to take screenshots of web pages from within R. It can also run Shiny applications locally and take screenshots of the application; and it can render and screenshot static as well as interactive R Markdown documents.
r-wgcna 1.63 — Weighted correlation network analysis
This package provides functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data. It includes functions for rudimentary data cleaning, construction and summarization of correlation networks, module identification and functions for relating both variables and modules to sample traits. It also includes a number of utility functions for data manipulation and visualization.
r-whisker 0.3-2 — Logicless mustache templating for R
This package provides logicless templating, with a syntax that is not limited to R.
r-withr 2.1.2 — Run code with temporarily modified global state
This package provides a set of functions to run R code in an environment in which global state has been temporarily modified. Many of these functions were originally a part of the r-devtools package.
r-wmtsa 2.0-3 — Wavelet methods for time series analysis
This package provides software to accompany the book "Wavelet Methods for Time Series Analysis", Donald B. Percival and Andrew T. Walden, Cambridge University Press, 2000.
r-writexl 1.0 — Export data frames to xlsx format
This package provides a data frame to xlsx exporter based on libxlsxwriter.
r-xfun 0.2 — Miscellaneous functions
This package provides miscellaneous functions commonly used in other packages maintained by Yihui Xie.
r-xml 3.98-1.11 — Tools for parsing and generating XML within R
Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an XPath "interpreter".
r-xml2 1.2.0 — Parse XML with R
This package provides a simple, consistent interface to working with XML files in R. It is built on top of the libxml2 C library.
r-xnomial 1.0.4 — Goodness-of-Fit test for multinomial data
This package provides an exact Goodness-of-Fit test for multinomial data with fixed probabilities. It can be used to determine whether a set of counts fits a given expected ratio. To see whether a set of observed counts fits an expectation, one can examine all possible outcomes with
xmulti() or a random sample of them with
xmonte() and find the probability of an observation deviating from the expectation by at least as much as the observed. As a measure of deviation from the expected, one can use the log-likelihood ratio, the multinomial probability, or the classic chi-square statistic. A histogram of the test statistic can also be plotted and compared with the asymptotic curve.
r-xtable 1.8-2 — Export R tables to LaTeX or HTML
This package provides tools to export R data as LaTeX and HTML tables.
r-xts 0.10-2 — Extensible time series
This package provides for uniform handling of R's different time-based data classes by extending
zoo, maximizing native format information preservation and allowing for user-level customization and extension, while simplifying cross-class interoperability.
r-xvector 0.20.0 — Representation and manpulation of external sequences
This package provides memory efficient S4 classes for storing sequences "externally" (behind an R external pointer, or on disk).
r-yaml 2.1.19 — Methods to convert R data to YAML and back
This package implements the libyaml YAML 1.1 parser and emitter (http://pyyaml.org/wiki/LibYAML) for R.
r-zip 1.0.0 — Cross-platform Zip compression
This package provides a cross-platform Zip compression library for R. It is a replacement for the
zip function, that does not require any additional external tools on any platform.
r-zlibbioc 1.26.0 — Provider for zlib-1.2.5 to R packages
This package uses the source code of zlib-1.2.5 to create libraries for systems that do not have these available via other means.
r-zoo 1.8-2 — S3 infrastructure for regular and irregular time series
This package contains an S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors.
r-ztable 0.1.8 — Zebra-striped tables in LaTeX and HTML formats for R
This package provides functions to make zebra-striped tables (tables with alternating row colors) in LaTeX and HTML formats easily from
racket 6.12 — Implementation of Scheme and related languages
Racket is an implementation of the Scheme programming language (R5RS and R6RS) and related languages, such as Typed Racket. It features a compiler and a virtual machine with just-in-time native compilation, as well as a large set of libraries.
radare2 2.5.0 — Portable reversing framework
Radare project started as a forensics tool, a scriptable commandline hexadecimal editor able to open disk files, but later support for analyzing binaries, disassembling code, debugging programs, attaching to remote gdb servers, ...
radeontop 1.1 — Usage monitor for AMD Radeon graphics
RadeonTop monitors resource consumption on supported AMD Radeon Graphics Processing Units (GPUs), either in real time as bar graphs on a terminal or saved to a file for further processing. It measures both the activity of the GPU as a whole, which is also accurate during OpenCL computations, as well as separate component statistics that are only meaningful under OpenGL graphics workloads.
radicale 1.1.2 — Basic CalDAV and CardDAV server
Radicale is a CalDAV and CardDAV server for UNIX-like platforms. Calendars and address books are available for both local and remote access, possibly limited through authentication policies. They can be viewed and edited by calendar and contact clients on mobile phones or computers.
Radicale intentionally does not fully comply with the CalDAV and CardDAV RFCs. Instead, it supports the CalDAV and CardDAV implementations of popular clients.
rage 0.3.0 — Video and audio player based on EFL
Rage is a video and audio player written with Enlightenment Foundation Libraries with some extra bells and whistles.
ragel 6.9 — State machine compiler
Ragel compiles executable finite state machines from regular languages. Ragel targets C, C++, Obj-C, C#, D, Java, Go and Ruby. Ragel state machines can not only recognize byte sequences as regular expression machines do, but can also execute code at arbitrary points in the recognition of a regular language. Code embedding is done using inline operators that do not disrupt the regular language syntax.
raincat 126.96.36.199 — Puzzle game with a cat in lead role
Project Raincat is a game developed by Carnegie Mellon students through GCS during the Fall 2008 semester. Raincat features game play inspired from classics Lemmings and The Incredible Machine. The project proved to be an excellent learning experience for the programmers. Everything is programmed in Haskell.
rakarrack 0.6.1 — Audio effects processor
Rakarrack is a richly featured multi-effects processor emulating a guitar effects pedalboard. Effects include compressor, expander, noise gate, equalizers, exciter, flangers, chorus, various delay and reverb effects, distortion modules and many more. Most of the effects engine is built from modules found in the excellent software synthesizer ZynAddSubFX. Presets and user interface are optimized for guitar, but Rakarrack processes signals in stereo while it does not apply internal band-limiting filtering, and thus is well suited to all musical instruments and vocals.
randomjungle 2.1.0 — Implementation of the Random Forests machine learning method
Random Jungle is an implementation of Random Forests. It is supposed to analyse high dimensional data. In genetics, it can be used for analysing big Genome Wide Association (GWA) data. Random Forests is a powerful machine learning method. Most interesting features are variable selection, missing value imputation, classifier creation, generalization error estimation and sample proximities between pairs of cases.
randrproto 1.5.0 — Xorg RandRProto protocol headers
Resize and Rotate Extension defines a protocol for clients to dynamically change X screens, so as to resize, rotate and reflect the root window of a screen.
ranger 1.9.1 — Console file manager
ranger is a console file manager with Vi key bindings. It provides a minimalistic and nice curses interface with a view on the directory hierarchy. It ships with
rifle, a file launcher that is good at automatically finding out which program to use for what file type.
rapicorn 16.0.0 — Toolkit for rapid development of user interfaces
Rapicorn is a toolkit for rapid development of user interfaces in C++ and Python. The user interface is designed in a declarative markup language and is connected to the programming logic using data bindings and commands.