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

Found 91 packages in 0.04 seconds

aroma.affymetrix — by Henrik Bengtsson, 2 months ago

Analysis of Large Affymetrix Microarray Data Sets

A cross-platform R framework that facilitates processing of any number of Affymetrix microarray samples regardless of computer system. The only parameter that limits the number of chips that can be processed is the amount of available disk space. The Aroma Framework has successfully been used in studies to process tens of thousands of arrays. This package has actively been used since 2006.

TopDom — by Henrik Bengtsson, 4 years ago

An Efficient and Deterministic Method for Identifying Topological Domains in Genomes

The 'TopDom' method identifies topological domains in genomes from Hi-C sequence data (Shin et al., 2016 ). The authors published an implementation of their method as an R script (two different versions; also available in this package). This package originates from those original 'TopDom' R scripts and provides help pages adopted from the original 'TopDom' PDF documentation. It also provides a small number of bug fixes to the original code.

broom — by Simon Couch, a month ago

Convert Statistical Objects into Tidy Tibbles

Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.

sudoku — by David Brahm, 3 years ago

Sudoku Puzzle Generator and Solver

Generates, plays, and solves Sudoku puzzles. The GUI playSudoku() needs package "tkrplot" if you are not on Windows.

googleComputeEngineR — by Mark Edmondson, 6 years ago

R Interface with Google Compute Engine

Interact with the 'Google Compute Engine' API in R. Lets you create, start and stop instances in the 'Google Cloud'. Support for preconfigured instances, with templates for common R needs.

MPAgenomics — by Samuel Blanck, 5 years ago

Multi-Patient Analysis of Genomic Markers

Preprocessing and analysis of genomic data. 'MPAgenomics' provides wrappers from commonly used packages to streamline their repeated manipulation, offering an easy-to-use pipeline. The segmentation of successive multiple profiles is performed with an automatic choice of parameters involved in the wrapped packages. Considering multiple profiles in the same time, 'MPAgenomics' wraps efficient penalized regression methods to select relevant markers associated with a given outcome. Grimonprez et al. (2014) .

RPushbullet — by Dirk Eddelbuettel, 10 days ago

R Interface to the Pushbullet Messaging Service

An R interface to the Pushbullet messaging service which provides fast and efficient notifications (and file transfer) between computers, phones and tablets. An account has to be registered at the site < https://www.pushbullet.com> site to obtain a (free) API key.

tidypopgen — by Andrea Manica, 2 months ago

Tidy Population Genetics

We provide a tidy grammar of population genetics, facilitating the manipulation and analysis of data on biallelic single nucleotide polymorphisms (SNPs). 'tidypopgen' scales to very large genetic datasets by storing genotypes on disk, and performing operations on them in chunks, without ever loading all data in memory. The full functionalities of the package are described in Carter et al. (2025) .

LaplacesDemon — by Henrik Singmann, 4 years ago

Complete Environment for Bayesian Inference

Provides a complete environment for Bayesian inference using a variety of different samplers (see ?LaplacesDemon for an overview).

BrailleR — by A. Jonathan R. Godfrey, 2 years ago

Improved Access for Blind Users

Blind users do not have access to the graphical output from R without printing the content of graphics windows to an embosser of some kind. This is not as immediate as is required for efficient access to statistical output. The functions here are created so that blind people can make even better use of R. This includes the text descriptions of graphs, convenience functions to replace the functionality offered in many GUI front ends, and experimental functionality for optimising graphical content to prepare it for embossing as tactile images.