RStudio: An all-purpose way to interact with R
April 13, 2022
RStudio: An all-purpose way to interact with R
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with Posit
Currently, we use RStudio within our group as the primary way to interact with R and particularly R scripts for automated analysis of large datasets. We've also used RStudio to develop Shiny GUIs to provide a user-friendly interface for these R scripts for others in our organization that may be less familiar with running scripts in RStudio.
- Great statistical packages
- Good code visualization (formatting/color coding options)
- Decent integration with other languages
- Documentation and versioning of the packages can be tedious to track and check for compatibility
- Requires startup time from the user to learn to use/setup
- Some features like RStudio Connect are a little buggy/not super smooth
- It enabled our organization to have a common platform for data analysis and for running R, which led to higher efficiencies between groups.
- It provided us with the ability to develop GUIs through RShiny for users who preferred to work with a different user interface which allowed us to reach a higher user base and extend the efficiencies further.
- It expedited some of our analysis workstreams by helping analysts and developers develop scripts faster through its tools and open source offerings.
RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful when we had R heavy code with some python threaded in. Overall we picked Rstudio for the features it provided for our data analysis needs and the ability to interface with our existing resources.
I haven't really used RStudio support but participated in some workshops around shiny and tidyverse, which were both extremely clear, enjoyable, and well-executed - our organization learned a lot from them, so I would highly recommend them.
The open-source offerings are well maintained. They offer a set of functionalities that would be difficult or time-consuming to implement on an individual basis, so they offer us major time savings. The main advantage I see in open source data science is that it'll reduce duplicate work and enable wider use of these tools and for these tools to be able to iteratively improve with the input of these users as well.
We've only used RStudio connect minimally, and so far, it has helped with onboarding other groups that are less familiar with RStudio and R in general. Using Rstudio connect was also super helpful for use in training sessions in general.
Shinyapps.io has been really helpful in hosting interactive data GUIs for users/consumers of our data analytics in the form of a separate user interface that is easier to understand, and it allows users who are less comfortable with R to use to view and consume the analyzed data in a consistent way.
Do you think Posit delivers good value for the price?
Yes
Are you happy with Posit's feature set?
Yes
Did Posit live up to sales and marketing promises?
Yes
Did implementation of Posit go as expected?
Yes
Would you buy Posit again?
Yes