RStudio is the leading IDE for R
Updated December 23, 2020

RStudio is the leading IDE for R

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

Overall Satisfaction with RStudio

RStudio is the leading tool for running R code interactively. We use it for bioinformatics and data science research. While RStudio is free, RStudio the company also offers a series of paid offerings with additional features. They do a good job supporting their paid products. Overall, RStudio is the top tool for running R code.
  • Interactive usage
  • Good community support
  • Active development
  • Better documentation on new offerings
  • Better debugging of community offerings
  • Less closed ecosystem
  • Allows novice users to use R
  • Interactive feedback
  • Good core feature set
RStudio gives a more integrated R experience compared to Jupyter. RStudio is the ideal tool for running R interactively.
Good and active support in my relatively short experience with them.
RStudio is the leading package for running R code interactively. Nothing else really compares.
Allowing users to share 1 core environment allows reproducible code across the institution. R Notebooks allow literate programming and shareable analysis.
Shinyapps.io is a great tool for testing and building Shiny apps. They are great for rapid protocol typing for sharing minimum viable products with teams to build collaborative collorations.
RStudio is great for running R code interactively. It has many highly useful features like projects and renv that allows for better code reproducibility. RStudio the company is always adding new features based on community feedback. Overall, RStudio is great for running R code interactively and highly recommended for such applications.

Using RStudio

100 - RStudio is the major IDE for R, and R is used for statistical and bioinformatics analysis across multiple groups. R is the leading and often only tool for many different types of analysis.
100 - There are a range of skills for RStudio users, from new fellows just starting biostatistics/bioinformatics work to senior users who have many years of experience.
  • Biostatistic modeling - regression analysis etc
  • Bioinformatics analysis - microbiome, RNA-seq, etc
  • Machine Learning through caret
  • Build dash boards to facilitate cooperation between groups.
  • Use notebooks for interactive training.
  • Use notebooks for sharing
  • More dashboards in the future.
  • More notebooks for cooperation.
  • Better reproducibility through Rproj and Renv
RStudio is the leading IDE for R, which is a major tools for many different types of R biostatistic/bioinformatics analysis.

Evaluating RStudio and Competitors

  • Product Features
  • Product Usability
RStudio allows interactive R coding, which is a major language used by our institutions. It allows both novice and expert users to have a good experience with R.
I won't. RStudio products are the best for R

RStudio Implementation

Making sure all stakesholders agree is absolutely essential.
Change management was minimal - More training and communication with users.
  • Changing expectations from users.

RStudio Support

ProsCons
Quick Resolution
Good followup
Knowledgeable team
Problems get solved
Kept well informed
Immediate help available
Support cares about my success
Quick Initial Response
None
Yes - Included in our purchase
Yes - Yes. It was handled quickly and promptly.
We were discussing some additional features, and the product support team helped us find equivalent functions.

Using RStudio

ProsCons
Like to use
Relatively simple
Easy to use
Technical support not required
Well integrated
Consistent
Quick to learn
Convenient
Feel confident using
None
  • Environment reproduction
  • Literate notebooks
  • Rproj for building projects
  • Running cluster or parallel jobs