Item: Posit
Rating: 8
Author: Verified User

Overall Satisfaction with RStudio

Use Cases and Deployment Scope

We use RStudio for our Data Science work in cancer research. It is used by our Informatics department. We have multiple external systems that house our research data, and RStudio addresses the business problem of providing an environment for doing interactive analysis on that data using a controlled package environment, as well as a place for publishing dashboards for non-technical users to explore our data.

Pros and Cons

Pros

Interactive programming environment in R
Controlled package environment with docker containers
Management of users with authentication
Management of user sessions with clear options and flexibility

Cons

Management of docker containers for programming environments (ease of use)
Process of deploying dashboards to RStudio Connect (specifically package versioning and management using packrat and RStudio Package Manager is difficult)
Occasional lags and bugs in spinning up sessions or working interactively

Return on Investment

Allowed interactive programming for research
Allowed publication of shiny dashboards for non-technical users to explore our data

Likelihood to Recommend

RStudio works well for providing data scientists with an interactive programming environment, or for developing R packages.

The tools are not really developed to be seamless for controlling the R environment or doing "production" or highly reproducible analysis.

Comments

Please log in to join the conversation

Lou Bajuk
(Vendor Representative) commented 4 years ago
Thank you for leaving this review, and for your feedback on our products.

RStudio for life sciences data science