R-Studio

"Easy IDE"

Commentaires: I use R Studio on a daily basis to interact with data. It's my go-to software anytime I need to do something too big for Excel or something that might need to be repeated.

Avantages: Such a user-friendly IDE. It makes managing all of my active data objects, visualizations, and packages extremely easy.

Inconvénients: Nobody will ever accuse R or R Studio in being the fastest or most memory-efficient software.

"Excellent tool for modelling!"

Avantages: Really great tool and the execution time is quite low!

Inconvénients: There is nothing that I did't like about R-Studio.

"Powerful data analysis software for working with multiple large datasets at once"

Commentaires: Overall, R is an excellent data analysis platform, that allows for the creation of polished graphs, and includes a large number of packages that make data analysis easy and intuitive. It very rarely if ever crashes and allows for pulling data from different datasets. Some commands are more complicated than comparable code lines in other programs but usually any issues can be solved by a search engine inquiry.

Avantages: I use R to analyze data for academic papers. Most recently, I used it to analyze a large dataset of survey responses, and what I like the most is that it can manage using data from different datasets all at once, which is great for large projects. I also think that R is very intuitive when it bounces back with an error to the user, because it explains what the issue is in more detail than other comparable data analysis programs. Lastly, I really like the fact that R very rarely, if ever crashes and that the data analysis code is saved whenever there is a package that requires the program to restart. The packages are also great and allow you to solve more complex data issues than other programs, and it R is particularly adequate for polished graphs, using the ggplot package.

Inconvénients: My least favorite part about R is that it is sometimes surprisingly complicated in terms of the code required to complete simple tasks like rename a variable, but there are a lot of forums online for R support, so usually any issues are a search away. I also think R is not quite as good as other programs at giving detailed information on the results of data matching or reshaping data, but this is only a true issue for very specific research projects.

"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.

""R" is your savior and nemesis"

Commentaires: I loved that it was free and worked well. However, it definitely made life a little bit more complicated because I just could not figure out things on my own. Do R if you have a bunch of friends jumping on it with you because it requires a lot of team effort and help.

Avantages: Nothing beats free and that is for sure true with R statistics because it offers a great range of functions for free. It is such a beautiful software to do graphs and run regressions.

Inconvénients: Free, of course, comes at a price. Ironic, right? it definitely will take a long time before you feel proficient at what you are doing in "R". It requires a lot of guidance to know you are on the right track. I had to spend hours of hours with a TA to figure out how to use it at a low intermediate level.