RStudio Desktop

Great tool for coding in R

Commentaires : I've used RStudio to build out code that can help run simple systems that help save a lot of time. Our most important need is that we had to do calculations using data from different sources that can manually take hours but RStudio allows us to get it done within minutes! And the best thing is that you can customize the output better than some other software out there. So overall, I like it a lot but I can understand why some may need something even more powerful.

Avantages :

This is the best way to code in R and run code that could be helpful for all tasks from the mundane (like renaming or moving files) to the more advanced (like calculations across multiple excel sheets and creating a new master excel sheet with all of the data). Variables are clearly defined in the workspace at the top right, console at the bottom left - your typical work layout which helps with consistency. Overall, I love how powerful it is and like how many different packages are available.

Inconvénients :

It's not as fast as some other software, but even for being free, this is more than enough. There isn't a lot of help for using this program either and I feel like I only knew about it because we've used it in school. Overall, the UI could get an update in looks to be more updated with the current times.

The sophisticated features and tools of R make it a fantastic choice for researchers.

Commentaires : In terms of statistical modeling and analysis, R is one of the most used programming languages.

Avantages :

Programming in R is available for free and without restrictions. So, there are no requirements for employment, including fees or licenses. R is a state-of-the-art program that gets updates whenever new features are published. R has a renowned set of graphics libraries. These libraries provide assistance and improve the R development environment. The libraries that R provides are numerous and have many different uses. Being able to open the code editor in a separate window is a wonderful feature. With R, creating impressive graphs and charts is simple.

Inconvénients :

R is not able to be used in online applications, for example, which is just one of many restrictions it has. R lacks sufficient security. MATLAB and Python are both considerably faster than R as a programming language.

Start to code!

Commentaires : Is worth ad it to make more comfortable to create your new codes.

Avantages :

The interfase is amazing! You can look at the different results from your scripts at the same time. Is intuitive and helps to gain confidence.

Inconvénients :

At the beginning the organization of the tabs can be tricky, but once you made it, all goes well.

Many functionalities but large learning curve

Commentaires : Overall it seems like a very worthwhile platform, but extremely time consuming learn the basics. This can be frustrating and discouraging.

Avantages :

There are a ton of packages that can be loaded into R for many purposes (e.g. tables, graphs). For example, GGPlot makes very professional looking graphs that are great for publications. Once you have a basic understanding of the code processes, R can be very useful for a variety of statistics, from simple to quite complex (e.g. MLM, HLM). Also, R is free, which is so amazing considering some of its competitors cost thousands of dollars.

Inconvénients :

This is very very difficult to learn as a beginning. It takes quite some time to feel remotely comfortable with the syntax. There are free tutorials on youtube, etc, but it can still be very discouraging as a beginning with coding experience to get started on this platform.

Great open-source software for statisticians by statisticians

Avantages :

I love the features that allow you to write free open source code to create beautiful output in minutes to be placed in projects and make presentations right in the application. R is a very expandable language and there a many packages that are available to use.

Inconvénients :

There is a learning curve at first, and do to the amount of information available and packages that can be used, it can be hard to narrow down at first what functions to use when. I wish that RStudio made it easier for people to collaborate with people on their team by allowing web access to make the R files like Google Docs - multiple people can edit the same R file at the same time.