A native R plotting library that provides a flexible declarative interface for creating interactive web-based graphics, backed by the Bokeh visualization library <https://bokeh.pydata.org/>.

Import excel files into R. Supports .xls via the embedded libxls C library <https://github.com/libxls/libxls> and .xlsx via the embedded RapidXML C++ library <https://rapidxml.sourceforge.net/>. Works on Windows, Mac and Linux without external dependencies.

Apache Arrow <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the Arrow C++ library.

Zero-dependency data frame to xlsx exporter based on libxlsxwriter <https://libxlsxwriter.github.io>. Fast and no Java or Excel required.

Visual Studio Code is a code editor redefined and optimized for building and debugging modern web and cloud applications.  Visual Studio Code is free and available on your favorite platform - Linux, macOS, and Windows.

Access and manipulate Microsoft Word, RTF and Microsoft PowerPoint documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. The package does not require any installation of Microsoft products to be able to write Microsoft files.

Use a grammar for creating and customizing pretty tables. The following formats are supported: HTML, PDF, RTF, Microsoft Word, Microsoft PowerPoint and R Grid Graphics. R Markdown, Quarto and the package officer can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.

Pipeline tools coordinate the pieces of computationally demanding analysis projects. The targets package is a Make-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU Make (2015, ISBN:978-9881443519) and drake (2018, <doi:10.21105/joss.00550>).

Bokeh is a Python library for creating interactive visualizations for modern web browsers. It helps you build beautiful graphics, ranging from simple plots to complex dashboards with streaming data...

Extension for Visual Studio Code - R Extension for Visual Studio Code

Discover data applications for production with Plotly Dash. Put data and AI into action with scalable, interactive data apps for your organization.

TextMate support for R. Contribute to textmate/r.tmbundle development by creating an account on GitHub.

Functional programming in R. Contribute to zatonovo/lambda.r development by creating an account on GitHub.

R's data.table package extends data.frame:. Contribute to Rdatatable/data.table development by creating an account on GitHub.

A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools

INDOJITU adalah salah satu bandar situs toto dan situs togel online terbesar di indonesia yang memiliki pengalaman selama 14 tahun sebagai pasaran togel terlengkap.

Download RPy (R from Python) for free. RPy is a very simple, yet robust, Python interface to the R Programming Language. It can manage all kinds of R objects and can execute arbitrary R functions (including the graphic functions).

The best data science is open source. Posit is committed to creating incredible open-source tools for individuals, teams, and enterprises.

rocker-org has 27 repositories available. Follow their code on GitHub.

A collaborative project to build R tools facilitating access to quantitative healthcare and public health data - rOpenHealth

A logging package in R similar to log4j. Contribute to zatonovo/futile.logger development by creating an account on GitHub.

The leading provider of test coverage analytics. Ensure that all your new code is fully covered, and see coverage trends emerge. Works with most CI services. Always free for open source.

Efficient R Programming is about increasing the amount of work you can do with R in a given amount of time. It’s about both computational and programmer efficiency.

This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data.

Integrate R to Java and enhance your data analysis and statistical computing with R code and packages using Renjin, the JVM-based interpreter for the R language.

Code coverage reporting solution for any test suite — Codecov gives developers actionable insights to deploy reliable code with confidence.

R news and tutorials contributed by hundreds of R bloggers

Docker is a platform designed to help developers build, share, and run container applications. We handle the tedious setup, so you can focus on the code.

This book teaches you to use R to visualize and explore data, a key element of the data science process.

This book teaches the concepts and tools behind reporting modern data analyses in a reproducible manner.

R in Action, Second Edition</i> presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines.</p>

Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, … - Selection from R Cookbook, 2nd Edition [Book]

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are … - Selection from The Art of R Programming [Book]

Learn the fundamentals for R programming and gain the tools needed for doing data science.

We've integrated the interactivity from Code School into the Pluralsight platform. Grow your skills with code courses, assessments, paths and expert-led content on today’s most in-demand technologies.

Spotfire is a visual data science platform that makes smart people smarter by combining interactive visualizations and advanced analytics to solve complex industry specific business problems.

Learn R, R tutorials, R resources, blog posts and the latest updates about the statistical programming R language.

Offered by Johns Hopkins University. Launch Your Career in Data Science. A ten-course introduction to data science, developed and taught by ... Enroll for free.

This series of inexpensive and focused books on R is aimed at practitioners. Books can discuss the use of R in a particular subject area (e.g., epidemiology, ...