Packages — R (Page 2 of 9)
r-colorout 1.2-0 — Colorize output in the R REPL
colorout is an R package that colorizes R output when running in terminal emulator.
R STDOUT is parsed and numbers, negative numbers, dates in the standard format, strings, and R constants are identified and wrapped by special ANSI scape codes that are interpreted by terminal emulators as commands to colorize the output. R STDERR is also parsed to identify the expressions warning and error and their translations to many languages. If these expressions are found, the output is colorized accordingly; otherwise, it is colorized as STDERROR (blue, by default).
You can customize the colors according to your taste, guided by the color table made by the command
show256Colors(). You can also set the colors to any arbitrary string. In this case, it is up to you to set valid values.
r-colorspace 1.3-2 — Color space manipulation
This package carries out a mapping between assorted color spaces including RGB, HSV, HLS, CIEXYZ, CIELUV, HCL (polar CIELUV), CIELAB and polar CIELAB. Qualitative, sequential, and diverging color palettes based on HCL colors are provided.
r-commonmark 1.5 — CommonMark and Github Markdown Rendering in R
The CommonMark specification defines a rationalized version of markdown syntax. This package uses the 'cmark' reference implementation for converting markdown text into various formats including HTML, LaTeX and groff man. In addition, it exposes the markdown parse tree in XML format. The latest version of this package also adds support for Github extensions including tables, autolinks and strikethrough text.
r-compare 0.2-6 — Comparing objects for differences
This package provides functions to compare a model object to a comparison object. If the objects are not identical, the functions can be instructed to explore various modifications of the objects (e.g., sorting rows, dropping names) to see if the modified versions are identical.
r-complexheatmap 1.18.1 — Making Complex Heatmaps
Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential structures. This package provides a highly flexible way to arrange multiple heatmaps and supports self-defined annotation graphics.
r-complexplus 2.1 — Functions of complex or real variables
This package extends several functions to the complex domain, including the matrix exponential and logarithm, and the determinant.
r-compquadform 1.4.3 — Distribution function of quadratic forms in normal variables
This package provides functions to compute the distribution function of quadratic forms in normal variables using Imhof's method, Davies's algorithm, Farebrother's algorithm or Liu et al.'s algorithm.
r-copyhelper 1.6.0 — Helper files for CopywriteR
This package contains the helper files that are required to run the Bioconductor package CopywriteR. It contains pre-assembled 1kb bin GC-content and mappability files for the reference genomes hg18, hg19, hg38, mm9 and mm10. In addition, it contains a blacklist filter to remove regions that display copy number variation. Files are stored as GRanges objects from the GenomicRanges Bioconductor package.
r-copynumber 1.20.0 — Segmentation of single- and multi-track copy number data
This package segments single- and multi-track copy number data by a penalized least squares regression method.
r-copywriter 2.12.0 — Copy number information from targeted sequencing
CopywriteR extracts DNA copy number information from targeted sequencing by utilizing off-target reads. It allows for extracting uniformly distributed copy number information, can be used without reference, and can be applied to sequencing data obtained from various techniques including chromatin immunoprecipitation and target enrichment on small gene panels. Thereby, CopywriteR constitutes a widely applicable alternative to available copy number detection tools.
r-corrplot 0.84 — Visualization of a correlation matrix
This package provides a graphical display of a correlation matrix or general matrix. It also contains some algorithms to do matrix reordering. In addition, corrplot is good at details, including choosing color, text labels, color labels, layout, etc.
r-cowplot 0.9.2 — Streamlined plot theme and plot annotations for ggplot2
This package provides some helpful extensions and modifications to the ggplot2 package to combine multiple ggplot2 plots into one and label them with letters, as is often required for scientific publications.
r-crayon 1.3.4 — Colored terminal output for R
r-crosstalk 1.0.0 — Inter-widget interactivity for HTML widgets
This package provides building blocks for allowing HTML widgets to communicate with each other, with Shiny or without (i.e. static
.html files). It currently supports linked brushing and filtering.
r-cubature 1.4 — Adaptive multivariate integration over hypercubes
This package is an R wrapper around the cubature C library for adaptive multivariate integration over hypercubes. This version provides both
pcubature routines in addition to a vector interface.
r-curl 3.2 — HTTP client for R
curl_download() functions provide highly configurable drop-in replacements for base
download.file() with better performance, support for encryption, gzip compression, authentication, and other
libcurl goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces.
r-cvst 0.2-2 — Fast cross-validation via sequential testing
This package implements the fast cross-validation via sequential testing (CVST) procedure. CVST is an improved cross-validation procedure which uses non-parametric testing coupled with sequential analysis to determine the best parameter set on linearly increasing subsets of the data. Additionally to the CVST the package contains an implementation of the ordinary k-fold cross-validation with a flexible and powerful set of helper objects and methods to handle the overall model selection process. The implementations of the Cochran's Q test with permutations and the sequential testing framework of Wald are generic and can therefore also be used in other contexts.
r-data-table 1.11.4 — Enhanced version of data.frame R object
The R package
data.table is an extension of
data.frame providing functions for fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group, column listing and fast file reading.
r-dbi 1.0.0 — R database interface
The DBI package provides a database interface (DBI) definition for communication between R and relational database management systems. All classes in this package are virtual and need to be extended by the various R/DBMS implementations.
r-dbplyr 1.2.1 — Dplyr back end for databases
This package provides a dplyr back end for databases that allows you to work with remote database tables as if they are in-memory data frames. Basic features works with any database that has a
DBI back end; more advanced features require SQL translation to be provided by the package author.
r-ddalpha 1.3.4 — Depth-Based classification and calculation of data depth
This package contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included.
r-debugme 1.1.0 — Debug R packages
This package allows the user to specify debug messages as special string constants, and control debugging of packages via environment variables.
r-delayedarray 0.6.1 — Delayed operations on array-like objects
Wrapping an array-like object (typically an on-disk object) in a
DelayedArray object allows one to perform common array operations on it without loading the object in memory. In order to reduce memory usage and optimize performance, operations on the object are either delayed or executed using a block processing mechanism. Note that this also works on in-memory array-like objects like
DataFrame objects (typically with Rle columns),
Matrix objects, and ordinary arrays and data frames.
r-delayedmatrixstats 1.2.0 — Functions that apply to rows and columns of DelayedMatrix objects
This package provides a port of the
matrixStats API for use with
DelayedMatrix objects from the
DelayedArray package. It contains high-performing functions operating on rows and columns of
DelayedMatrix objects, e.g.
rowSds. Functions are optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized.
r-dendextend 1.8.0 — Extending 'dendrogram' functionality in R
This package offers a set of functions for extending
dendrogram objects in R, letting you visualize and compare trees of hierarchical clusterings. You can adjust a tree's graphical parameters (the color, size, type, etc of its branches, nodes and labels) and visually and statistically compare different dendrograms to one another.
r-deoptimr 1.0-8 — Differential evolution optimization in pure R
This package provides a differential evolution (DE) stochastic algorithms for global optimization of problems with and without constraints. The aim is to curate a collection of its state-of-the-art variants that (1) do not sacrifice simplicity of design, (2) are essentially tuning-free, and (3) can be efficiently implemented directly in the R language.
r-desc 1.2.0 — Manipulate DESCRIPTION Files
This package provides tools to read, write, create, and manipulate DESCRIPTION files. It is intended for packages that create or manipulate other packages.
r-deseq 1.32.0 — Differential gene expression analysis
This package provides tools for estimating variance-mean dependence in count data from high-throughput genetic sequencing assays and for testing for differential expression based on a model using the negative binomial distribution.
r-deseq2 1.20.0 — Differential gene expression analysis
This package provides functions to estimate variance-mean dependence in count data from high-throughput nucleotide sequencing assays and test for differential expression based on a model using the negative binomial distribution.
r-desolve 1.21 — Solvers for initial value problems of differential equations
This package provides functions that solve initial value problems of a system of first-order ordinary differential equations (ODE), of partial differential equations (PDE), of differential algebraic equations (DAE), and of delay differential equations. The functions provide an interface to the FORTRAN functions lsoda, lsodar, lsode, lsodes of the ODEPACK collection, to the FORTRAN functions dvode and daspk and a C-implementation of solvers of the Runge-Kutta family with fixed or variable time steps. The package contains routines designed for solving ODEs resulting from 1-D, 2-D and 3-D partial differential equations (PDE) that have been converted to ODEs by numerical differencing.
r-devtools 1.13.5 — Tools to make developing R packages easier
The devtools package is a collection of package development tools to simplify the devolpment of R packages.
r-dexseq 1.26.0 — Inference of differential exon usage in RNA-Seq
This package is focused on finding differential exon usage using RNA-seq exon counts between samples with different experimental designs. It provides functions that allows the user to make the necessary statistical tests based on a model that uses the negative binomial distribution to estimate the variance between biological replicates and generalized linear models for testing. The package also provides functions for the visualization and exploration of the results.
r-dichromat 2.0-0 — Color schemes for dichromats
Dichromat collapses red-green or green-blue distinctions to simulate the effects of different types of color-blindness.
r-diffbind 2.8.0 — Differential binding analysis of ChIP-Seq peak data
This package computes differentially bound sites from multiple ChIP-seq experiments using affinity (quantitative) data. Also enables occupancy (overlap) analysis and plotting functions.
r-diffusionmap 1.1-0 — Diffusion map
This package implements the diffusion map method of data parametrization, including creation and visualization of diffusion maps, clustering with diffusion K-means and regression using the adaptive regression model.
r-digest 0.6.15 — Create cryptographic hash digests of R objects
This package contains an implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the md5, sha-1, sha-256, crc32, xxhash and murmurhash algorithms) permitting easy comparison of R language objects, as well as a function 'hmac()' to create hash-based message authentication code.
Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as OpenSSL should be used.
r-dimred 0.1.0 — Framework for dimensionality reduction
This package provides a collection of dimensionality reduction techniques from R packages and provides a common interface for calling the methods.
r-diptest 0.75-7 — Hartigan's dip test statistic for unimodality
This package computes Hartigan's dip test statistic for unimodality, multimodality and provides a test with simulation based p-values, where the original public code has been corrected.
r-directlabels 2018.05.22 — Direct labels for multicolor plots
This package provides an extensible framework for automatically placing direct labels onto multicolor plots. Label positions are described using positioning methods that can be re-used across several different plots. There are heuristics for examining
ggplot objects and inferring an appropriate positioning method.
r-dirichletmultinomial 1.22.0 — Dirichlet-Multinomial mixture models for microbiome data
Dirichlet-multinomial mixture models can be used to describe variability in microbial metagenomic data. This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15.
r-distillery 1.0-4 — Functions for confidence intervals and object information
This package provides some very simple method functions for confidence interval calculation and to distill pertinent information from a potentially complex object; primarily used in common with the packages extRemes and SpatialVx.
r-diversitree 0.9-10 — Comparative 'phylogenetic' analyses of diversification
This package contains a number of comparative "phylogenetic" methods, mostly focusing on analysing diversification and character evolution. Contains implementations of "BiSSE" (Binary State Speciation and Extinction) and its unresolved tree extensions, "MuSSE" (Multiple State Speciation and Extinction), "QuaSSE", "GeoSSE", and "BiSSE-ness" Other included methods include Markov models of discrete and continuous trait evolution and constant rate speciation and extinction.
r-dnacopy 1.54.0 — Implementation of a circular binary segmentation algorithm
This package implements the circular binary segmentation (CBS) algorithm to segment DNA copy number data and identify genomic regions with abnormal copy number.
r-domc 1.3.5 — Foreach parallel adaptor for the 'parallel' package
This package provides a parallel backend for the
%dopar% function using the multicore functionality of the parallel package.
r-doparallel 1.0.11 — Foreach parallel adaptor for the 'parallel' package
This package provides a parallel backend for the
%dopar% function using the parallel package.
r-dosnow 1.0.16 — Foreach parallel adaptor for the snow package
This package provides a parallel backend for the
%dopar% function using the
r-dplyr 0.7.5 — Tools for working with data frames in R
dplyr is the next iteration of plyr. It is focussed on tools for working with data frames. It has three main goals: 1) identify the most important data manipulation tools needed for data analysis and make them easy to use in R; 2) provide fast performance for in-memory data by writing key pieces of code in C++; 3) use the same code interface to work with data no matter where it is stored, whether in a data frame, a data table or database.
r-dropbead 0-2.d746c6f — Basic exploration and analysis of Drop-seq data
This package offers a quick and straight-forward way to explore and perform basic analysis of single cell sequencing data coming from droplet sequencing. It has been particularly tailored for Drop-seq.
r-drr 0.0.3 — Dimensionality reduction via regression
This package provides an implementation of dimensionality reduction via regression using Kernel Ridge Regression.
r-dtw 1.20-1 — Dynamic Time Warping Algorithms
This package provides a comprehensive implementation of dynamic time warping (DTW) algorithms in R. DTW computes the optimal (least cumulative distance) alignment between points of two time series. Common DTW variants covered include local (slope) and global (window) constraints, subsequence matches, arbitrary distance definitions, normalizations, minimum variance matching, and so on.
r-dyn 0.2-9.6 — Time series regression
This package provides the dyn class interfaces
zooreg time series classes to
randomForest::randomForest() and other regression functions, allowing those functions to be used with time series including specifications that may contain lags, diffs and missing values.
r-dynamictreecut 1.63-1 — Detect clusters in hierarchical clustering dendrograms
This package contains methods for the detection of clusters in hierarchical clustering dendrograms.
r-e1071 1.6-8 — Miscellaneous functions for probability theory
This package provides functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, and more.
r-edaseq 2.14.0 — Exploratory data analysis and normalization for RNA-Seq
This package provides support for numerical and graphical summaries of RNA-Seq genomic read data. Provided within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization. Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization.
r-edger 3.22.2 — EdgeR does empirical analysis of digital gene expression data
This package can do differential expression analysis of RNA-seq expression profiles with biological replication. It implements a range of statistical methodology based on the negative binomial distributions, including empirical Bayes estimation, exact tests, generalized linear models and quasi-likelihood tests. It be applied to differential signal analysis of other types of genomic data that produce counts, including ChIP-seq, SAGE and CAGE.
r-ellipse 0.4.1 — Functions for drawing ellipses and ellipse-like confidence regions
This package contains various routines for drawing ellipses and ellipse-like confidence regions, implementing the plots described in Murdoch and Chow (1996), A graphical display of large correlation matrices, The American Statistician 50, 178-180. There are also routines implementing the profile plots described in Bates and Watts (1988), Nonlinear Regression Analysis and its Applications.
r-emdbook 1.3.10 — Support functions and data for "Ecological Models and Data"
This package provides auxiliary functions and data sets for "Ecological Models and Data", a book presenting maximum likelihood estimation and related topics for ecologists (ISBN 978-0-691-12522-0).
r-energy 1.7-4 — Multivariate inference via the energy of data
This package provides e-statistics (energy) tests and statistics for multivariate and univariate inference, including distance correlation, one-sample, two-sample, and multi-sample tests for comparing multivariate distributions, are implemented. Measuring and testing multivariate independence based on distance correlation, partial distance correlation, multivariate goodness-of-fit tests, clustering based on energy distance, testing for multivariate normality, distance components (disco) for non-parametric analysis of structured data, and other energy statistics/methods are implemented.
r-ensembldb 2.4.1 — Utilities to create and use Ensembl-based annotation databases
The package provides functions to create and use transcript-centric annotation databases/packages. The annotation for the databases are directly fetched from Ensembl using their Perl API. The functionality and data is similar to that of the TxDb packages from the
GenomicFeatures package, but, in addition to retrieve all gene/transcript models and annotations from the database, the
ensembldb package also provides a filter framework allowing to retrieve annotations for specific entries like genes encoded on a chromosome region or transcript models of lincRNA genes.
r-erma 0.12.0 — Epigenomic road map adventures
The epigenomics road map describes locations of epigenetic marks in DNA from a variety of cell types. Of interest are locations of histone modifications, sites of DNA methylation, and regions of accessible chromatin. This package presents a selection of elements of the road map including metadata and outputs of the ChromImpute procedure applied to ENCODE cell lines by Ernst and Kellis.
r-estimability 1.3 — Tools for assessing estimability of linear predictions
Provides tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly.
r-evaluate 0.10.1 — Parsing and evaluation tools for R
This package provides tools that allow you to recreate the parsing, evaluation and display of R code, with enough information that you can accurately recreate what happens at the command line. The tools can easily be adapted for other output formats, such as HTML or LaTeX.
r-expm 0.999-2 — Tools for matrix exponentials and related quantities
This package provides tools for the computation of the matrix exponential, logarithm, square root, and related quantities.
r-extradistr 1.8.9 — Additional univariate and multivariate distributions
This package implements density, distribution functions, quantile functions and random generation functions for a large number of univariate and multivariate distributions.
r-extremes 2.0-9 — Extreme value analysis
ExtRemes is a suite of functions for carrying out analyses on the extreme values of a process of interest; be they block maxima over long blocks or excesses over a high threshold.
r-factoextra 1.0.5 — Extract and visualize the results of multivariate data analyses
This package provides some easy-to-use functions to extract and visualize the output of multivariate data analyses, including
PCA (Principal Component Analysis),
CA (Correspondence Analysis),
MCA (Multiple Correspondence Analysis),
FAMD (Factor Analysis of Mixed Data),
MFA (Multiple Factor Analysis) and
HMFA (Hierarchical Multiple Factor Analysis) functions from different R packages. It contains also functions for simplifying some clustering analysis steps and provides ggplot2-based elegant data visualization.
r-factominer 1.41 — Multivariate exploratory data analysis and data mining
This package provides exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis.
r-fail 1.3 — File abstraction interface layer (FAIL)
This package provides a more comfortable interface to work with R data or source files in a key-value fashion.
r-fastcluster 1.1.25 — Fast hierarchical clustering routines
This package implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines:
linkage() in the SciPy package
hclust() in R's
stats package, and the
flashClust package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide.
r-fastica 1.2-1 — FastICA algorithms to perform ICA and projection pursuit
This package provides an implementation of the FastICA algorithm to perform independent component analysis (ICA) and projection pursuit.
r-fastmatch 1.1-0 — Fast match function
This package provides a fast
match replacement for cases that require repeated look-ups. It is slightly faster that R's built-in
match function on first match against a table, but extremely fast on any subsequent lookup as it keeps the hash table in memory.
r-fastseg 1.26.0 — Fast segmentation algorithm for genetic sequencing data
Fastseg implements a very fast and efficient segmentation algorithm. It can segment data from DNA microarrays and data from next generation sequencing for example to detect copy number segments. Further it can segment data from RNA microarrays like tiling arrays to identify transcripts. Most generally, it can segment data given as a matrix or as a vector. Various data formats can be used as input to fastseg like expression set objects for microarrays or GRanges for sequencing data.
r-fdrtool 1.2.15 — Estimation of false discovery rates and higher criticism
This package provides tools to estimate tail area-based false discovery rates as well as local false discovery rates for a variety of null models (p-values, z-scores, correlation coefficients, t-scores). The proportion of null values and the parameters of the null distribution are adaptively estimated from the data. In addition, the package contains functions for non-parametric density estimation (Grenander estimator), for monotone regression (isotonic regression and antitonic regression with weights), for computing the greatest convex minorant (GCM) and the least concave majorant (LCM), for the half-normal and correlation distributions, and for computing empirical higher criticism (HC) scores and the corresponding decision threshold.
r-feather 0.3.1 — R Bindings to the Feather API
Read and write feather files, a lightweight binary columnar daa store designed for maximum speed.
r-ff 2.2-14 — Memory-efficient storage of large data on disk and access functions
This package provides data structures that are stored on disk but behave (almost) as if they were in RAM by transparently mapping only a section in main memory.
r-ffbase 0.12.3 — Basic statistical functions for package 'ff'
This package extends the out of memory vectors of
ff with statistical functions and other utilities to ease their usage.
r-fit-models 0.5-14 — Compare fitted models
fit.models function and its associated methods (coefficients, print, summary, plot, etc.) were originally provided in the
robust package to compare robustly and classically fitted model objects. The aim of the
fit.models package is to separate this fitted model object comparison functionality from the robust package and to extend it to support fitting methods (e.g., classical, robust, Bayesian, regularized, etc.) more generally.
r-fitdistrplus 1.0-9 — Fitting a parametric distribution from data
This package extends the
fitdistr function of the MASS package with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left-censored, right-censored and interval-censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME) and maximum goodness-of-fit estimation (MGE) methods (available only for non-censored data). Weighted versions of MLE, MME and QME are available.
r-fithic 1.6.0 — Confidence estimation for intra-chromosomal contact maps
Fit-Hi-C is a tool for assigning statistical confidence estimates to intra-chromosomal contact maps produced by genome-wide genome architecture assays such as Hi-C.
r-fivethirtyeight 0.1.0 — Data and code behind the stories at FiveThirtyEight
This R package provides access to the code and data sets published by the statistics blog FiveThirtyEight.
- License: Expat.
- Website: https://mran.microsoft.com/package/fivethirtyeight/.
- Package source: statistics.scm.
- Patches: None.
- Lint issues: No.
- Builds: x86_64-linux, i686-linux.
r-flashclust 1.01-2 — Implementation of optimal hierarchical clustering
This package provides a fast implementation of hierarchical clustering.
r-flexmix 2.3-14 — Flexible mixture modeling
This package implements a general framework for finite mixtures of regression models using the EM algorithm. FlexMix provides the E-step and all data handling, while the M-step can be supplied by the user to easily define new models. Existing drivers implement mixtures of standard linear models, generalized linear models and model-based clustering.
r-fnn 1.1 — Fast nearest neighbor search algorithms and applications
This package provides cover-tree and kd-tree fast k-nearest neighbor search algorithms. Related applications including KNN classification, regression and information measures are implemented.
r-forcats 0.3.0 — Tools for working with factors
This package provides helpers for reordering factor levels (including moving specified levels to front, ordering by first appearance, reversing, and randomly shuffling), and tools for modifying factor levels (including collapsing rare levels into other, "anonymizing", and manually "recoding").
r-foreach 1.4.4 — Foreach looping construct for R
This package provides support for the
foreach looping construct.
foreach is an idiom that allows for iterating over elements in a collection, without the use of an explicit loop counter. This package in particular is intended to be used for its return value, rather than for its side effects. In that sense, it is similar to the standard
lapply function, but doesn't require the evaluation of a function. Using
foreach without side effects also facilitates executing the loop in parallel.
r-foreign 0.8-70 — Read data stored by other statistics software
This package provides functions for reading and writing data stored by some versions of Epi Info, Minitab, S, SAS, SPSS, Stata, Systat and Weka and for reading and writing some dBase files.
r-formatr 1.5 — Format R code automatically
This package provides a function to format R source code. Spaces and indent will be added to the code automatically, and comments will be preserved under certain conditions, so that R code will be more human-readable and tidy. There is also a Shiny app as a user interface in this package.
r-formula 1.2-3 — Extended model formulas
This package provides a new class
Formula, which extends the base class
formula. It supports extended formulas with multiple parts of regressors on the right-hand side and/or multiple responses on the left-hand side.
r-fpc 2.1-11 — Flexible procedures for clustering
This package provides various methods for clustering and cluster validation. For example, it provides fixed point clustering, linear regression clustering, clustering by merging Gaussian mixture components, as well as symmetric and asymmetric discriminant projections for visualisation of the separation of groupings.
r-fractal 2.0-4 — Fractal time series modeling and analysis
This package provides tools for stochastic fractal and deterministic chaotic time series analysis.
r-futile-logger 1.4.3 — Logging utility for R
This package provides a simple yet powerful logging utility. Based loosely on log4j, futile.logger takes advantage of R idioms to make logging a convenient and easy to use replacement for
r-futile-options 1.0.1 — Options management framework
The futile.options subsystem provides an easy user-defined options management system that is properly scoped. This means that options created via
futile.options are fully self-contained and will not collide with options defined in other packages.
r-gage 2.30.0 — Generally applicable gene-set enrichment for pathway analysis
GAGE is a published method for gene set (enrichment or GSEA) or pathway analysis. GAGE is generally applicable independent of microarray or RNA-Seq data attributes including sample sizes, experimental designs, assay platforms, and other types of heterogeneity. The gage package provides functions for basic GAGE analysis, result processing and presentation. In addition, it provides demo microarray data and commonly used gene set data based on KEGG pathways and GO terms. These funtions and data are also useful for gene set analysis using other methods.
r-gclus 1.3.1 — Clustering graphics
This package orders panels in scatterplot matrices and parallel coordinate displays by some merit index. It contains various indices of merit, ordering functions, and enhanced versions of
parcoord which color panels according to their merit level.
r-gdata 2.18.0 — Various R programming tools for data manipulation
This package provides various R programming tools for data manipulation, including:
medical unit conversions
character vector operations
obtaining information about R objects
manipulating MS-Excel formatted files
generating fixed-width format files
extricating components of date and time objects
operations on columns of data frames
operations on vectors and data frames
value of last evaluated expression
samplethat ensures consistent behavior for both scalar and vector arguments
r-gdtools 0.1.7 — Utilities for graphical rendering
gdtools package provides functionalities to get font metrics and to generate base64 encoded string from raster matrix.
r-genefilter 1.62.0 — Filter genes from high-throughput experiments
This package provides basic functions for filtering genes from high-throughput sequencing experiments.
r-geneplotter 1.58.0 — Graphics functions for genomic data
This package provides functions for plotting genomic data.
r-genomation 1.12.0 — Summary, annotation and visualization of genomic data
This package provides a package for summary and annotation of genomic intervals. Users can visualize and quantify genomic intervals over pre-defined functional regions, such as promoters, exons, introns, etc. The genomic intervals represent regions with a defined chromosome position, which may be associated with a score, such as aligned reads from HT-seq experiments, TF binding sites, methylation scores, etc. The package can use any tabular genomic feature data as long as it has minimal information on the locations of genomic intervals. In addition, it can use BAM or BigWig files as input.