Overall Satisfaction with RStudio
RStudio is presently used heavily across several departments in our organization. In Data Science, we utilize RStudio and its related products for analysis of both early- and late-stage biomedical data for drug development. Our Biostatistics group uses RStudio for analyses related to population-wide trends in results from our ongoing clinical trials.
- Software project management
- Software package development
- Report publishing
- Real-time collaborative editing
- More responsive RStudio Sever UI
- Launcher integration directly with Spark clusters (especially via third parties like Databricks)
- RStudio makes analysis work dramatically more efficient
Because RStudio is more specifically focused on facilitating programming in R, whereas these other IDEs focus either on more general programming frameworks or a different language, it is the best choice for most of our analysis. Computational biology relies heavily on the Bioconductor package repository which is tightly tied to the R programming language, compelling us to use R and thus the best IDE for that language.