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R Studio Review
What do you like best about the product?
I like the R studio due to it is open source so we can use any where and its runs on any platforms like windows, Linux and Mac. i like the plotting feature of R for any statistical data. visualization of the data is so easy to understand.
What do you dislike about the product?
Sometimes i feel that R is so easy to understand for engineering student who learn C and C++ in starting.
What problems is the product solving and how is that benefiting you?
basically i use the R Studio for data visualization and sometimes for analysis the data as well.
Recommendations to others considering the product:
Yes of course i want to everyone who is using SAS (Statistical Analysis System) or Python must be using R Studio as well.
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Excellent Development Environment for R
What do you like best about the product?
I like the way R Studio makes it easy to write and test R code.
What do you dislike about the product?
It doesn't have all of the bells and whistles of other commercial IDEs.
What problems is the product solving and how is that benefiting you?
To develop solutions in data science using R
Experienced R and R Studio user
What do you like best about the product?
- Ease of use for first-time learners of R
- Availability in multiple platforms (Mac OS X, Linux, Windows)
- Very comprehensive IDE / Interface
- Ease of installing R Packages
- Debugging capabilities
- Quadrant View (IDE)
- Git Integration
- Sweave / KnitR Support
- Project workspaces
- Open-Source
- User Management (in the Commercial Version)
- Availability in multiple platforms (Mac OS X, Linux, Windows)
- Very comprehensive IDE / Interface
- Ease of installing R Packages
- Debugging capabilities
- Quadrant View (IDE)
- Git Integration
- Sweave / KnitR Support
- Project workspaces
- Open-Source
- User Management (in the Commercial Version)
What do you dislike about the product?
- Commercial edition price is very high (starts at $ 10,000)
- Support is only available via email and response times can be quite high
- Since the support is so limited, I didn't think that the high cost was justified. The main reason we wanted to use it was so that we can get enterprise support which was almost non-existent. When you have a production issue and need to get something fixed, there is no phone support to help you and you need to wait for someone to respond via email.
- The licensing is not perfect. We had a HPC server and every now and then RStudio would stop working because it detected some change in hardware when nothing had in fact happened. This would cause immense issues as no one would be able to access RStudio until it was fixed. Since the support was via email, it meant that there was no option other than informing the business/statistics groups that we were 'waiting to hear back from RStudio'.
- The account manager was hard to get a hold of when we needed. It seemed like they were content with making the sale and not working on maintaining a customer relationship.
- So, while the product is great and has a lot of nice, well-done features, I think the management of the product in the commercial space is sub-optimal and not worth the cost. The quality of development is very high in contrast.
- Alternatives such as Jupyter Notebook (Jupyter Lab), Open Analytics (EU) may be better options
- Using multicore packages sometimes causes issues
- Support is only available via email and response times can be quite high
- Since the support is so limited, I didn't think that the high cost was justified. The main reason we wanted to use it was so that we can get enterprise support which was almost non-existent. When you have a production issue and need to get something fixed, there is no phone support to help you and you need to wait for someone to respond via email.
- The licensing is not perfect. We had a HPC server and every now and then RStudio would stop working because it detected some change in hardware when nothing had in fact happened. This would cause immense issues as no one would be able to access RStudio until it was fixed. Since the support was via email, it meant that there was no option other than informing the business/statistics groups that we were 'waiting to hear back from RStudio'.
- The account manager was hard to get a hold of when we needed. It seemed like they were content with making the sale and not working on maintaining a customer relationship.
- So, while the product is great and has a lot of nice, well-done features, I think the management of the product in the commercial space is sub-optimal and not worth the cost. The quality of development is very high in contrast.
- Alternatives such as Jupyter Notebook (Jupyter Lab), Open Analytics (EU) may be better options
- Using multicore packages sometimes causes issues
What problems is the product solving and how is that benefiting you?
- Enterprise acceptance of RStudio
- Open Source Version has been very stable and is a much better interface to demonstrate R functionalities than using the terminal
- Have used it regularly since it started
- Open Source Version has been very stable and is a much better interface to demonstrate R functionalities than using the terminal
- Have used it regularly since it started
Recommendations to others considering the product:
Consider the benefits of using the open-source version vs commercial prior to making the purchase
It's a 'must-have' if you are using R for development
It's a 'must-have' if you are using R for development
Great
What do you like best about the product?
It's R and usable. Helpful for stats and visualization.
What do you dislike about the product?
Learning menu that is different from Rcmdr or SPSS. Not having great organization support for using this.
What problems is the product solving and how is that benefiting you?
Stats
Recommendations to others considering the product:
Use it, it's free
Recently I have started loving RStudio
What do you like best about the product?
I have used the RStudio on windows machine, before this I have worked on MSVS for couple of years.
In comparison with VS, RStudio comes with loads of features and tools, light weighted and very easy to use.
In comparison with VS, RStudio comes with loads of features and tools, light weighted and very easy to use.
What do you dislike about the product?
IDE is little hard to get familiar with for beginners.
What problems is the product solving and how is that benefiting you?
I am learning ML so that I can create POC's in my current organization, RStudio is kind of giving me comfort level day-by-day to learn things at a very good pace and I am sure I will be able to build the POC's before schedules.
Simple and clean
What do you like best about the product?
Cuts down advanced tasks in just a few lines of code.
What do you dislike about the product?
That I have to do the install and updates myself. Open source means that there are disparate support sites.
What problems is the product solving and how is that benefiting you?
Predictive analytics, repeat manual tasks to consolidate databases.
RStudio
What do you like best about the product?
It allows you to use code, allowing for straightforward analyses
What do you dislike about the product?
It takes time to learn the code, however it is quite worth the investent
What problems is the product solving and how is that benefiting you?
Biopsychological research
Recommendations to others considering the product:
Check online forums for help with coding
Advance user
What do you like best about the product?
Support team
Open source
Resources rich
Easy to use
Open source
Resources rich
Easy to use
What do you dislike about the product?
Nothing nothing nothing nothing nothing
What problems is the product solving and how is that benefiting you?
Free to use and good for reproducible research
Makes R More Approachable
What do you like best about the product?
The interface is much more familiar to people like me, who have programming experience in other statistical software packages but not much other programming background. I also LOVE that R and RStudio are free.
What do you dislike about the product?
I still find R to have a steep learning curve, but RStudio helps make the transition a bit easier.
What problems is the product solving and how is that benefiting you?
I use R for data management, social network analysis, and statistical analysis.
Recommendations to others considering the product:
I think RStudio is great for people who are just beginning to work with R.
Well organized tool for both beginners and experts
What do you like best about the product?
An intuitive layout to understand easily how you can get started and see result based on your progress. You can see data structure in memory on top right to see how data is being process upon your command
What do you dislike about the product?
Libraries should be more organized. This is not a tool for Java developer and class pathes are not so critical, but as you use more libraries they should be organized
What problems is the product solving and how is that benefiting you?
Use of R for statistical analysis of clinical data captured through hospital systems. Very enriched algorithms is the biggest benefit
Recommendations to others considering the product:
Consider price carefully before you spread out from pilot to enterprise wide
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