:zap::computer::zap: R client for the Lightning Memory-Mapped Database - richfitz/thor

:package: Object cacher for R. Contribute to richfitz/storr development by creating an account on GitHub.

Install R packages from snapshots on checkpoint-server - RevolutionAnalytics/checkpoint

An R package for managing and seamlessly switching between sets of installed R packages. - gmbecker/switchr

Reproducible R Scripts Via Version-Specific CRAN-Package Storing and Loading - CredibilityLab/groundhog

Rbundler manages a project-specific library for dependency package installation. By specifying dependencies in a DESCRIPTION file in a project's root directory, one may install and use dependencies in a repeatable fashion without requiring manual maintenance. rbundler creates a project-specific R library in 'PROJECT_ROOT/.Rbundle' (by default) and a project-specific 'R_LIBS_USER' value, set in 'PROJECT_ROOT/.Renviron'. It supports dependency management for R standard "Depends", "Imports", "Suggests", and "LinkingTo" package dependencies. rbundler also attempts to validate and install versio...

R package to create internally consistent, mini version of CRAN - andrie/miniCRAN

The Data-Centered Data Flow manager for R. Contribute to franapoli/repo development by creating an account on GitHub.

Robust and efficient workflows using a simple language agnostic approach - sahilseth/flowr

A simple system for saving and loading objects in R. Long running computations can be stashed after the first run and then reloaded the next time. Dependencies can be added to ensure that a computation is re-run if any of its dependencies or inputs have changed.

Run R CMD check on any of the R-hub () architectures, from the command line. The current architectures include Windows, macOS, Solaris and various Linux distributions.

In this post, we will examine using GitHub actions and Docker to test our R packages across platforms in a portable way and show how this setup works for the CRAN package languageserversetup.

interface with DHIS2 to get listing of malaria-relevant data elements - jpainter/dataDictionary

How to include datasets in an R package

Easily Extracting Information About Your Data. Contribute to cosimameyer/overviewR development by creating an account on GitHub.

A fresh approach to package installation. Contribute to r-lib/pak development by creating an account on GitHub.

A consistent, flexible and easy to use tool to parse and convert strings into cases like snake or camel among others.

rhub

Copy R data to clipboard. Contribute to BAAQMD/copydat development by creating an account on GitHub.

A package to help deal with devtools::check outputs - ThinkR-open/checkhelper

A Collaborative list of things to know before submitting to CRAN - ThinkR-open/prepare-for-cran

Easily Extracting Information About Your Data. Contribute to cosimameyer/overviewR development by creating an account on GitHub.

Makes it easy to display descriptive information on a data set. Getting an easy overview of a data set by displaying and visualizing sample information in different tables (e.g., time and scope conditions). The package also provides publishable LaTeX code to present the sample information.