Posit Team Reviews & Product Details

I have been using RStudio for more than two years. I feel awesome to play with its scripts. I feel good to learn new things every time. For me using this software is the best experience as it has more and more potential to learn a new way of playing with data. This software is made to handle large data frames. It works on the way we provide the command to it. Really learning the command always makes us feel that more and more to go to find the easier method. Really I feel like playing the game of data. I am more passionate about it. I have learned its scripts from the software itself by using the package swirl. As a mathematician creating an R Markdown document to assist the students is one of the best features of this software. Free software, creating own of a project file, saving the script for further work, different packages available for different work makes it more attractive. Review collected by and hosted on G2.com.

Does not read the empty cells, spacing and unnecessary characters can be stated as constraints of this software but I don’t think it as a big deal to be addressed. Review collected by and hosted on G2.com.

Easy

Not space hungry

Intuitive

Effective Review collected by and hosted on G2.com.

Some of the add insult are difficult to install or buggy Review collected by and hosted on G2.com.

What I like the best about working with RStudio is that the extraction of data, the installation of new packages is very easy to do. Also, the interface is amicable for new users Review collected by and hosted on G2.com.

What I don't like about RStudio is that sometimes you have to do some modifications that you didn't know that you have to do for some installations. Review collected by and hosted on G2.com.

The best thing about R studio is the flexible interface. You get a window environment where you can see all the tables. It also comes with suggestions while you code which are really helpful. Review collected by and hosted on G2.com.

There is nothing much to dislike. It will be really helpful if they come with a similar editor for Python as well. Several machine learning libraries are designed for Python. Review collected by and hosted on G2.com.

I use Rstudio for my classes, training research assistants and for data analysis in my lab. I also generate figures here when creating figures for research papers. I like that R is very user friendly and that I can leave comments and make scripts for the students to use and try on their own. Review collected by and hosted on G2.com.

I sometimes wish that the figures/graphs we create did not automatically "float". There is always a weird gap between the x-axis and where the bar graphs start which I later on modify. This sometimes confuses the reader and also makes the graph look less aesthetically pleasing Review collected by and hosted on G2.com.

The libraries you can add on to R for text analysis and literally any kind of data analysis you would like to do is phenomenal. The visualization libraries are beautiful to integrate with your data and make it easy to understand and tell a story through data. Review collected by and hosted on G2.com.

Not much, the IDE is easy to move windows around and run commands on the terminal. You can build out logic to your datasets in the environment and see all the variable you have stored values in. It is immensely helpful to watch your variables when designing the code. Review collected by and hosted on G2.com.

There are four panels in the UI where you can see your code, the console, the plots, and all of the variables that are present in your session Review collected by and hosted on G2.com.

Personally I do not dislike anything about R Studio Review collected by and hosted on G2.com.

Commands can be run line by line, which makes it convenient to find errors and correct them. The program environment is friendly. Ability to save several R scripts in one project. There are many packages with readily available codes which makes programming with it super easy. Graphics using packages like ggplot can generate attractive charts plots and help the users in carrying out comprehensive graphical representations. Coding language is relatively easy to learn. Can generate data analysis reports easily with R markdown files. Can easily access objects in the interactive environment. Review collected by and hosted on G2.com.

It is relatively slow when running programs and optimizations for large data sets. Being an open source software anyone can develop packages and upload, hence the algorithms in different packages may need to be run differently. Review collected by and hosted on G2.com.

-Ease of use

-Can easily handle large amount of data

-Clean user interface

-Intuitive design

-Array of available packages for every use case Review collected by and hosted on G2.com.

Some packages are not compatible and sometimes ingestion/processing of data takes more time than normal and hangs. Review collected by and hosted on G2.com.

It can help you with any analysis you'd like to perform on your dataset with minimal learning curve possible. Just spend a few minutes on youtube and you're good to go. The way it interfaces with R programming, makes it easier to use on day to day basis. Review collected by and hosted on G2.com.

The need to update periodically without an automatic option. Review collected by and hosted on G2.com.