RStudio for life sciences data science
December 22, 2020

RStudio for life sciences data science

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with RStudio

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