R experts, for all your R needs

Shiny applications (design and deployment)

Application and dashboard using Shiny framework

R server and infrastructure

Rstudio serveur, Rconnect, Shinyproxy, Shiny server…

Code and R scripts optimization

Performance, Maintainability & Reusability

R Software Engineering

Package creation, algorithm production, …

From SAS to R

DiscoveR a new world

Open-source contributions

Our contributions to the R community

R experts at your disposal

Contact us

Team R-software consulting

A team of R consultants

At ThinkR we are passionate about R. We are a team of developers and R consultants, with solid knowledge and skills in everything R-related — development, application deployment, or infrastructure .
Contact us if you need a team of experts to carry out your R projects:

Follow us on Twitter

Contact us





Your Name (required)

Your Email (required)

Your Phone (required)

Subject

Your Message

Our blog posts:

Dockerise and deploy your own R Archive Repo

There are severals reasons you would want to deploy your own R archive repo: you don’t want to rely on GitHub for your dev packages, you want to use a more “confidential” way, or maybe (and that’s good enough a …
Lire La Suite…
/ / docker, server

[How-to] Share content between several R6 instances

The object oriented system is a nice and powerful way to program and to build softwares and data in R. Yet, it can be a little bit daunting at first, especially if you’ve alway been coding in R, and with …
Lire La Suite…
/ / object-oriented, R6

The Best Rstudio Snippet Ever!

Because I was tired of typing the same thing over and over. I finally took the time to make myself a little Rstudio snippet. To do this just go to Tools > global Option > code > edit snippet and …
Lire La Suite…
/ / tips

Installation to connect Spark and H2O in R

In the ThinkR Task force, we love playing with H2O in R. Their algorithms for machine learning are really powerful. Combined with Apache Spark through Sparkling Water, H2O provides even more powerful data processing workflows, which you can run on …
Lire La Suite…

Our Package template to design a prod-ready Shiny application

In this article, I will introduce the approach we use at ThinkR for Shiny applications we design. This is a relatively strict framework but designed to simplify our life and guarantee to deliver a “prod ready” application (whether it is launched …
Lire La Suite…
/ / shiny