No Clocks

Introduction My Use Case Workflow Building the Docker image Uploading the docker image to Docker Hub Setting up Travis to use the Docker image References Introduction The below summarize the workflow I’ve converged on, after reading through various tutorials on Docker, examples, etc. If you’re here, I presume you have some interest in R package development and/or using Docker, which is a tool for containerizing an environment for running software.

Minimal Docker images for R. Contribute to r-hub/r-minimal development by creating an account on GitHub.

Virtual workshop on June 20 as part of e-Rum 2020 to learn how to build your own interactive visualisation packages.

The goal of this initiative is to make cloud computing with R easier, by providing robust tools for working with cloud computing platforms.

evaluator

Web framework for R inspired by express.js

Choose your own adeventure and get in the 'usethis' pull request flow with this flow chart.

An attempt to get an R runtime and function working on AWS Lambda using a container. - r-on-lambda/Dockerfile at main · mdneuzerling/r-on-lambda

AWS has announced support for container images for their serverless computing platform Lambda. AWS doesn’t provide an R runtime for Lambda, and this was the excuse I needed to finally try to make one. An R runtime means that I can take advantage of AWS Lambda to put my R functions in the cloud. I don’t have to worry about provisioning servers or spinning up containers — the function itself is the star.

Tools for building and working with docker containers in R - GitHub - thebioengineer/dockyard: Tools for building and working with docker containers in R

R configurations for Docker. Contribute to rocker-org/rocker development by creating an account on GitHub.

R configurations for Docker. Contribute to rocker-org/rocker development by creating an account on GitHub.

Table of conversion of dates and time formats in R

Tips to helps debug R packages errors on local installation of different OS

crosswalkr

Wings for your R packages: Streamline the process of versioning R packages and updating NEWS - krlmlr/fledge

Wrap R for Sweet R Code. Contribute to WinVector/wrapr development by creating an account on GitHub.

PDF Toolkit. :paperclip: :hammer: :wrench: :scissors: :bookmark_tabs: :file_folder::paperclip: :bookmark: :construction: :construction_worker: - pridiltal/staplr

I'm new to R (and programming in general), so I've been making various functions to warm myself up to it. I've been trying to figure out how to make an R function that will clear my global environ...

renv

A shiny gadget to create ggplot2 charts interactively with drag-and-drop to map your variables. You can quickly visualize your data accordingly to their type, export to PNG or PowerPoint, and retrieve the code to reproduce the chart.

It parses a fitted R model object, and returns a formula in Tidy Eval code that calculates the predictions. It works with several databases back-ends because it leverages dplyr and dbplyr for the final SQL translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.