RStudio - a cheap and effective statistics program
Updated January 25, 2022

RStudio - a cheap and effective statistics program

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

Overall Satisfaction with RStudio

RStudio is currently used to analyze data. It makes using R much easier for us researchers and allows us to test our hypotheses. It is used by researchers across the department to do quantitative analyses using data we have collected. We use it for social network analyses that include friendship nominations.
  • Quantitative analyses.
  • Descriptive analyses.
  • Graphs.
  • The point and click functions of the program could be better.
  • Updating the program could be an easier process.
  • Other programs make it easier to read in data.
  • Allowed us to publish findings.
  • Expanded our interest in social network analyses.
  • Grew our knowledge of python-type languages.
I prefer SPSS to RStudio, but RStudio is very cheap in comparison to the cost of SPSS. IBM's SPSS does a better job holding the hands of users, but it does come at a very expensive license cost. RStudio is a little bit more difficult to use but is cheap.

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I would use RStudio if you need a cheap way to effectively analyze data using social network analyses. Linear regressions are also fairly easy to run in RStudio, but if you have the money I'd recommend going another direction for your statistics needs.

Posit Feature Ratings

Extend Existing Data Sources
Automatic Data Format Detection
Interactive Data Analysis
Interactive Data Cleaning and Enrichment
Data Transformations
Multiple Model Development Languages and Tools
Single platform for multiple model development
Self-Service Model Delivery
Flexible Model Publishing Options
Security, Governance, and Cost Controls

Value of Using RStudio for Data Science

I think that RStudio scales pretty well based on the size of the datasets I'm using. It has multithreading capabilities unlike some other statistical analysis programs which is very useful in cutting down on time. The format of RStudio's syntax also makes it very easy to replicate regardless off the scale of the analysis and data set.
RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses.
RStudio is effective in its utility - allowing me to run advanced statistical analyses for a very low cost. This allows me to continue to grow my research and be able to reinvest money back into our projects. It is also easy to replicate similar analyses using syntax, so I plan on continuing to use RStudio for that as well.