RStudio Desktop Erfahrungen

As a statistician, I have been an active user of the R statistical programming language since 2007, and I had insisted to use the legacy R GUI all these years until about two years ago. Then I started to use RStudio and It was really a big step that makes me more productive.
RStudio is an advanced Integrated Development Environment (IDE) for the R language. It has a very nice user interface with advanced code highlighting, viewing data environment, help, and graphs in the same window. Moreover, It is integrated with GIT for easy version controlling inside of the Rstudio. Furthermore, It facilitates creating R shiny apps and developing R packages. Last but not least, it let to easily develop an R notebook to integrate code, graph, table, and documentation with the ability to export it to HTML, PDF, and Word formats. So it is a complete R environment for both Statisticians and Data scientists.

Rstudio does not provide menu-driven support for data analysis. In fact, a user can make it him/herself by using Shiny apps but the nature of the Rstudio is code-driven and the software graphical user interface is intended to help programmers and data scientists and not ordinary pople that like a menu-driven data analysis framework.

It's user friendly nature and it's community

The graph and charts need to made more simple so that even a layman can do it. Likewise the way results are printed to the screen

Being able to manipulate large datasets and perform complex calculations with ease has greatly improved efficiency in the company.

What I find most beneficial is the ability to create reproducible research and reports using R Markdown

For new developers in R, UI may have some learning curve in comparison to other IDEs.

For the low price of free, one can get top of the line statistical analysis. Of course, the learning curve is much higher than commercial statistical software. R requires some knowledge in programming concepts like data structures. One may also very well learn algorithms used in Computer Science and Numerical Analysis to make full use of R. However, this preparation pays much in using the software.

R-Studio could improve its functionality by adding convenient menus and buttons for basic statistics like Stata does.

I love that I can run code line by line. I work a lot with developing functions and stuff and the ability to see how my data are changing throughout the process is amazing

In my mind, R and RStudio are synonymous. I would never use anything else to write R code. So, the only things I dislike are reasons to not use R. If you are going to use R, you should use RStudio

R is an amazing programming language designed to perform statistical analysis and calculations. It is the swiss army tool of a data-scientist. Thanks to its huge community any doubt you may have can be replied easily by a simple search on internet, or by asking in forums. It's easy to use and thanks to R studio its IDE environment is even easier to check what data is loaded / plot graphs / consult the documentation. Very reccomended.

The software is free and this is amazing since it offers so much. As every programming language it may a bit difficult at the start to learn.

The software performs statistical analysis at a robust level and the invent of R Studio Cloud has made generating reports quick and easy.

What I like the least about this software is the way packages are typically installed and how long it takes to install a package.

I started coding with the terminal alone. Rstudio interfase helps to be more comfortable while creating new codes. Is a great tool to beginners and veterans.

You can not customize colors and themes on the interfase.

I love this software, I may be biased as it was what I started with, but it has some features that I miss in other coding interfaces. To name a few: the ability to find and replace strings in your code (even with regex), the ability to comfortably view stored variables, all the neat keyboard shortcuts. You can even run Python from it!

As I said, I love it, so it is hard to find criticism for it. Perhaps it could have R Markdown integrated right away - I am fairly certain that is not the case by default.

Rstudio is basically the go-to IDE for R code. Period. What I like the most is the way it can handle R scripts, markdown, notebooks, other languages as well (python, sql, etc.) and even latex syntax if you need it.

The only downsides I've always experienced are: memory efficiency and the fact that it is quite slower than "console R". Also, sudden crashes are quite annoying.

The product is very user friendly. From a Hydrologist point of view, RSTUDIO has the capabilities to satisfy all the necessary needs like data processing, analyzing trends, Finding the correlation and also the wide variety of packages are the main attraction. Any latest developed data analysis tools are being made available very soon.

Graphical representation is one of the difficult things to handle in this compared to other software's like MATLAB, PYTHON. Although GGPLOT package provides a lot of features for graphical representations, it is very difficult to handle.

Multi faceted display, flexibility, aesthetics, ease of use and performance

Nothing major, a very minor that I couldn't see a way to add the arrows to the scroll bar for the black background versions (this is an extremely minor thing though!)

There are many sources to find the codes you need like GitHub so you do not need to be a master code to use R-Studio. Statistical analysis is unparalleled and you get insights for your data easily. You can run complex regressions, and statistical tests easily with a few lines of codes

Not easy for beginners, lots of terminologies to get used to. But there are numerous tutorials on YouTube and a large community to help you whenever you get stuck

You can find a lot of useful programs in R, and R studio makes it easier to use, it saves your last commands, you can see the files you are using, the data, and some notes you have all at the same time. It's very friendly and easy to use.

It can be overwhelming at first if you have never code before and to see all the small screen at the time time with the commands, but once you get used to it, it's all very convenient.

I like that it is very easy to use, the display is simple and straightforward. On the right side, you have all of the data and active objects you are using, and you can write, edit and execute your code right there right away in a simple manner on the same screen, which makes it handy.

A con that I would like the developers to work on, is that sometimes the errs I encounter are not easy to understand or to follow the promptings that the debugging gives you

Ease of use, debugging, and GUI are the best in the buisiness when it comes to R IDEs

I wish that I could have better information on ram and CPU usage