My choice of IDE for R
January 10, 2019

My choice of IDE for R

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

Overall Satisfaction with RStudio

RStudio is used mostly by the Data Science team of our company to code in R. We implement both single-time analyses and also full-scale projects for internal usage with Shiny applications. We analyze financial time-series and perform forecasting, do clustering and segmentation of customers, train models in terms of Machine Learning for predictive analysis and data extrapolation. RStudio helps us with these tasks.


  • "Publish" tools, so that Shiny applications and code can be shared instantly from the RStudio window.
  • Customizable workspace, code styling tools availability.


  • Git. RStudio's extension works significantly slowly with it, considering that our corporate laptops are pretty good.
  • Terminal. Same issue as above.
  • Debugging. It is not intuitive for users (especially in large projects) of how to debug the code.
  • RStudio in its simple form is free and can be used by everyone, so, to my knowledge, for now, no ROI has happened in our company.
As for now, RStudio has no significant competitors on the market. As I have mentioned before, to date, it is the best possible option to take, if you wish to use R programming language with IDE, because it is the most powerful one.
RStudio is suitable to perform analyses in terms of Data Science projects. Nowadays, it is still the best option for developers to write code in R programming language. You can easily manipulate the data, however, if you have a project involving BigData, then R and RStudio are not appropriate for such large tasks. Try using Python.


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