Posit Team Reviews & Product Details

This software is designed to handle large amounts of data, the data display functions are of high quality, it is also quite easy to create reproducible documents, it is also capable of handling large amounts of data without storage problems, the user interface is very clean and very easy to understand, you can also effortlessly review your data sets and factors, it also allows you to check your data frames and filter them in a format, it also has many display packages, it allows to easily manage and visualize all objects in your environment. Review collected by and hosted on G2.com.

The only drawback that I have had with this tool is that when downloading some packages, I have had some problems to carry out that process, but only that, everything else works very well. Review collected by and hosted on G2.com.

This is THE best interface for R development work. They have a strong IDE product, but also a strong vision for what is needed across the organization to roll out and share analytics Review collected by and hosted on G2.com.

Lots of flexibility in the platform - package management is good, and improving, but needs coordination across users that share code to maximize efficiency Review collected by and hosted on G2.com.

Easy coding and user friendly Toolbars. Input and output screens on the same page. Review collected by and hosted on G2.com.

Finding an error in the programming is very difficult. Review collected by and hosted on G2.com.

The user interface is quite simple to understand. I like the part where I can run and see the output by creating different windows. Another thing is autosuggestion helps me not googling syntax. It falls on the same line as Eclipse software, so definitely ticks all the boxes Review collected by and hosted on G2.com.

Some of the complex data science algorithms took a long time. I did not understand if it was due to the way data was built with n number of columns. Review collected by and hosted on G2.com.

There really isn't anything you can't do with RStudio and a working knowledge of R programming. With so many packages, and unparalleled flexibility, I always find myself coming back to RStudio for my analytics workload. Review collected by and hosted on G2.com.

It can be pretty ugly without substantial effort. R and other basic statistical programming tools tend to be hard on the eyes--especially when presenting data and findings to stakeholders. Review collected by and hosted on G2.com.

open-source libraries and easy availability Review collected by and hosted on G2.com.

sometimes getting online solutions and core coding can be challenging Review collected by and hosted on G2.com.

It's open-source, agile, easy to start, and we learn new skills on the websites. There are tons of resources and great websites out there. Such as Kaggle, stackoverflow.com, R-bloggers, and many University websites. Besides, I found youtube is a good place to learn RStudio too. When I have a question, just google it, and will find answers very quickly. Most importantly, it's free software, everyone can download and learn it. Without it, I can't work. Review collected by and hosted on G2.com.

Some new packages are not compatible. Another problem is it doesn't save the process. Every time it requires to run the whole script if my computer restarts. Review collected by and hosted on G2.com.

Integration with R and support online. Easy interface. Review collected by and hosted on G2.com.

Does take some learning of the language but not more difficult than others Review collected by and hosted on G2.com.

You can open multiple of them on different projects Review collected by and hosted on G2.com.

The start up time is pretty slow. Updates on packages could go wrong Review collected by and hosted on G2.com.

RStudio is extremely useful and free software for interpreting and analysing datasets of any size. It's open source, and with the variety of packages available for download, you can run any type of data analysis you desire. There are so many resources available to teach you how to use it, and it's an essential skill for any scientist. Review collected by and hosted on G2.com.

UI isn't very user friendly but does the job (but you can change the colour scheme in settings if you prefer!). Particularly large datasets also require more time to calculate. Otherwise a great tool. Review collected by and hosted on G2.com.