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Über RStudio Desktop

Statistisches Analyseprogramm, das eine integrierte Entwicklungsumgebung für R bereitstellt. So können Teams Arbeitsbereiche entwickeln, teilen und verwalten.

Erfahre mehr über RStudio Desktop

Vorteile:

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.

Nachteile:

Although GGPLOT package provides a lot of features for graphical representations, it is very difficult to handle.

Bewertungen zu RStudio Desktop

Durchschnittliche Bewertung

Benutzerfreundlichkeit
4,4
Kundenservice
4,3
Funktionen
4,6
Preis-Leistungs-Verhältnis
4,7

Weiterempfehlungsquote

9,2/10

RStudio Desktop hat eine Gesamtbewertung von 4,7 von 5 Sternen basierend auf 118 Nutzerbewertungen auf Capterra.

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Nutzerbewertungen filtern (118)

Sara
Sara
Management in Spanien
Verifizierter Nutzer auf LinkedIn
Finanzdienstleistungen, 2–10 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

A simple IDE with great power

5,0 vor 2 Monaten

Kommentare: When developing scripts in R, this IDE is the one that should everyone one choose due to its wide range of functionalities.

Vorteile:

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

Nachteile:

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

Prince
Prince
Consultant in USA
Verifizierter Nutzer auf LinkedIn
Landwirtschaft, 501–1.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

In Betracht gezogene Alternativen:

Great tool for coding in R

5,0 vor 3 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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.

Rachel
graduate student in USA
Hochschulbildung, 10.000+ Mitarbeiter
Verwendete die Software für: 1-5 Monate
Herkunft der Bewertung

Many functionalities but large learning curve

3,0 vor 4 Jahren

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

Vorteile:

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.

Nachteile:

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.

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Tiefbau, 2–10 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

In Betracht gezogene Alternativen:

Exceptional IDE for Working with Data

5,0 vor 3 Jahren

Kommentare: I have found using RStudio intuitive, easy, and fun to use. I continue to marvel at the big and little things the developers have implemented that makes this a world class IDE and an indispensable tool for data analysis, data visualization, and general purpose coding.

Vorteile:

RStudio is a delightful IDE for working with Rlang and data. The ability to view tables instantly as you write each line of code allows for deeper insights and better coding. The table viewer even has sort and filtering functions to assist with the coding. The IDE functions make finding the right code commands and their arguments as simple as can be hoped. The layout of the screen and the ability to break out separate windows is really great and makes using the software on a single screen or multiple screens very friendly.

Nachteile:

Missing since of the third party add-ons of IDEs like PyCharm or Visual Studio that enable greater customisation.

Vivek
Vivek
Analytics Consultant in Indien
Verifizierter Nutzer auf LinkedIn
Verbraucherdienste, 1.001–5.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

R for Data Analysts

5,0 vor 2 Jahren

Kommentare: R was created keeping the data science community in mind, and till date it has lived up to their standards. It is a tool purely focused on analytics and creation of machine learning models. Its libraries allows users to tweak every possible parameters to get the desired results.

Vorteile:

It has always been a tool for statisticians. It provides very specific ML libraries for very specific tasks. The libraries are strategically developed to cater to every minute hyperparameter tuning to achieve optimum results. RStudio allows the codes to be converted to markdowns which can be converted to HTML pages and published as websites effortlessly.

Nachteile:

As mentioned, the R language is quite challenging for naïve users and hence its documentation is also very technical. Its requires some time to gain hands-on experience to get used to this tool. The customer support is also not quite established as compared to python.

Sreekanta
Research Analyst in USA
Bildungsmanagement, 51–200 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

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

5,0 vor 2 Jahren

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

Vorteile:

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.

Nachteile:

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.

Ibraheem
Student in Nigeria
Hochschulbildung, 51–200 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

In Betracht gezogene Alternativen:

R Studio

4,0 vor 2 Jahren

Kommentare: I usually perform simulation, statistical analysis and optimization. It's help me save time and lots of variety of options to analysis

Vorteile:

It's user friendly nature and it's community

Nachteile:

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

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Logistik & Lieferkette, 201–500 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

The best IDE out there for R programming

5,0 vor 2 Jahren

Kommentare: Overall, I think RStudio is one of the best and most complete IDEs out there. For R programming specifically, it gives me a lot of flexibility and productivity boosts which is hard to do with any other R IDE.

Vorteile:

I like the completeness of RStudio as an IDE. It has lots of useful features and integrations with R packages that just boosts my productivity.

Nachteile:

I'd like more theme options to choose from. Other than that, I don't really have anything I dislike about RStudio.

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Computer-Software, 501–1.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Excellent tool for modelling!

5,0 vor 4 Jahren

Vorteile:

Really great tool and the execution time is quite low!

Nachteile:

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

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Hochschulbildung, 1.001–5.000 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

Code with simple insights to what you do

5,0 vor 3 Jahren

Kommentare: Overall, I could write my desired code and do my job using powerful packages which were available.

Vorteile:

R studio provides a user-friendly environment for R-coder, especially for beginners. The environment provides easy access to variables and their values which is more critical to beginners who need to know what is happening in each part of the code.

Nachteile:

This might be a pain point for R overall and not specifically for R studio. However, there are different syntaxes for doing one task when working with some data types, which might get confusing. I prefer simplicity with only one solution.

Mowshori
Researcher in USA
Bildungsmanagement, 51–200 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

In Betracht gezogene Alternativen:

As a researcher, I use R for our project, because it has a lot of advanced features and tools.

5,0 letztes Jahr

Kommentare: Using libraries like ddR or multiDplyr, R can process huge amounts of data in parallel or through distributed computing for our research project.

Vorteile:

R makes it easy to create beautiful graphs and charts. We can do a wide variety of machine learning tasks with R for our research project. R is an open-source programming language that is free to use. Because of this, anyone can work without getting a license or paying a fee. R is cutting-edge software that gets updated as new features become available.

Nachteile:

Other languages for programming, like MATLAB and Python, are much slower than R. R has some limits, such as not being able to be used in a web application. R is not secure enough.

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Computer-Software, 501–1.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Best IDE for R

4,0 vor 5 Jahren

Kommentare: The user interface is friendly enough and easy to navigate through for beginners and the tools and capabilities are very satisfactory for advanced users. So R-Studio is a great product for a wide range of users.

Vorteile:

I have enjoyed sing R studio in my machine learning project. R-Studio provides great visual representations of data which I found tremendously helpful. If you are doing heavy R coding, R Studio is a must. The variables are defined in the environment and you can see them by simply clicking on them. There are lots of great libraries to experience with once yo get a hang of it. R-Studio can slow down with large data, but the great integration with cloud computing technologies make up for it. I used the Azure Cloud for cloud computing with R-Studio and I liked that the integration was seamless and the process was so easy. I set the cloud in R-Studio under five minutes.

Nachteile:

Some libraries are not optimized for performance. So you might need to try a few libraries before finding an implementation that will run the algorithm smoothly for a large data set. Also, the program might freeze and you might not be able to recover your work. It's always a good idea to save your work.

Ogechi
Decision science analyst in USA
Finanzdienstleistungen, 10.000+ Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Awesome free analytical software

5,0 vor 3 Jahren

Kommentare: I used r-studio to clean/visualize data and run analyses for a psychology study I worked on. It helped me build on my basic statistical knowledge and gain confidence in my querying.

Vorteile:

R-studio is one of the easiest to use statistical tools. It's clean, sleek interface is very intuitive and user friendly. It can handle large amounts of data and it suggests functions as you type, making it very beginner friendly. R-studio was a life saver for me in graduate school and is now a convenient tool I use in my work as an analyst.

Nachteile:

R-studio automatically updates periodically which can be a pain. Also, it cannot run multiple queries at the same time.

Ailed
Engineer in Mexiko
Hochschulbildung, 1.001–5.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Start to code!

5,0 letztes Jahr

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

Vorteile:

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.

Nachteile:

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

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Forschung, 11–50 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Excellent IDE for R.

4,0 vor 5 Jahren

Kommentare: Overall, an excellent IDE for the R language. Not as smooth and bug-free as could be.

Vorteile:

An excellent R IDE for beginner and expert alike. A ton of useful features that makes using R extremely easy, such auto-completion, documentation browser, R Notebooks functionality, data viewer, debugging and build tools, GitHub integration, and more. Doesn't hurt that it looks good too, with the available themes.

Nachteile:

Can be a little slow and sometimes glitchy. For example, the data viewer often cannot hand large data samples. Will sometimes crash for no particular reason. The R Notebooks functionality, though still very useful, is currently buggy and missing obvious features - could be much better! Furthermore, there are some features that are lacking compared to a customisable text editor such as Atom.

Sudarsan
Assistant Professor in Indien
Hochschulbildung, 10.000+ Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

A Good Tool For R Programmers

4,0 vor 3 Jahren

Kommentare: Overall, this is my to-go tool for R programming even though there are other options such as Jupyter that offer many different kernels such as Python and Julia other than R.

Vorteile:

The ability to install missing R packages instantly, creating R Markdown documents, and integration with Shiny Web App are the most appealing features for me as a machine learning researcher. I use RStudio almost everyday and have found it be one of the best interfaces to the R programming language for large scale data science projects.

Nachteile:

Memory management, in particular, with regards to installed packages is not intuitive and the user has to rely on command line options for a clearer picture.

Andrei
Student in Brasilien
Bildungsmanagement, 5.001–10.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

It is still really good despite its new competitors.

5,0 vor 2 Jahren

Kommentare: RStudio is still one of the best softwares for statistics and data science, it is very visual and has a lot of content and packages which were produced along the years. Even thought, with R not being popular right now and RStudio being built mostly for it, it still feels good to be home.

Vorteile:

The RStudio software is easy to get in, making it the perfect choice for data science beginners or statisticians. It has tons of visual support, so you have a better idea of what you are doing and better chance to know when you have messed up. The amount of packages it has makes it viable even when having to use another languages since there are a lot of packages that integrates the other languages to the RStudio interface.

Nachteile:

The fact that it is built primarily on R, which right now is becoming a dead language, makes it unattractive for most customers.

Anastasios
Data Science Manager in Australien
Forschung, 11–50 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Best IDE for R

5,0 letztes Jahr

Kommentare: The best IDE for R programmers. Overall great functionality and easy of use.

Vorteile:

Great functionality. Easy to write/edit/modify code. Easy to use and navigate. Great range of options from just writing code to create Reports (RMarkdown) and dashboards (RShiny).

Nachteile:

Integration with Git might be a bit complex. The Plot Panel is quite limited.

Verónica
PhD student in Mexiko
Hochschulbildung, 501–1.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

An improve to R

5,0 vor 2 Jahren

Kommentare: You can create and modify your codes with a user friendly interfase, making your work more efficient and fun.

Vorteile:

R studio help me to be more confident in the creation of new codes, with a custimizable features that made things easier.

Nachteile:

Sometimes it does not save the directory where I was working.

athira
research scholar in Indien
Forschung, 201–500 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Great solution for data analysis

4,0 vor 3 Jahren

Vorteile:

They provide open source tools for doing data management, analysis, and visualization. Vast library packages are available to perform statistical analysis as well as machine learning techniques. Highly recommended to the researchers who are handling large data set

Nachteile:

It requires basic knowledge in programming language/ coding. It would be great if the error messages are more informative.

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Biotechnologie, 2–10 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Very useful for research

5,0 vor 4 Jahren

Kommentare: Very satisfied with it, easy to use and exactly what you need to work as a research student that analyzes a lot of data.

Vorteile:

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.

Nachteile:

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.

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Versicherung, 501–1.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

My experience using R Studio

5,0 vor 4 Jahren

Kommentare: I use R-Studio regularly at the office for data and statistical analysis and also data visualization.

Vorteile:

The layout and ease of use is superb, there are functions for just about any statistical operation you need to carry out in R Studio. The autocomplete feature on the R-Studio IDE is remarkable, it completes the function for you and also gives you tips on what arguments should be keyed into the functions.

Nachteile:

I have not discovered any feature I don't like yet in R, for now, its just remarkable for statistical analysis and visualization.

Mahonri
Project Coordinator in USA
Eisenbahnbau, 201–500 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Free open source tools for R coding

5,0 vor 3 Jahren

Kommentare: I like this software in general, it is very easy to use, and to download tables and databases. It's practical and the console working environment is user friendly

Vorteile:

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.

Nachteile:

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

Jacob
Jacob
Customer Support Represenative in USA
Verifizierter Nutzer auf LinkedIn
Umweltdienstleistungen, 51–200 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Best IDE for R

5,0 vor 2 Jahren

Kommentare: Using R Studio has been a breeze. I used it to learn with R and ts built-in tools helped me in that journey

Vorteile:

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

Nachteile:

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

Ajay
Ajay
Research Assistant in USA
Verifizierter Nutzer auf LinkedIn
Forschung, 2–10 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Great Data Analysis Software With a Learning Curve

4,0 vor 3 Jahren

Kommentare: My overall experience with R-Studio has been positive and I have been able to effectively analyze a large amount of data and write papers on it .

Vorteile:

I use R to analyze data for writing papers. What I like about R is that it allows researchers to great insights on their data by using the tools that are in R.

Nachteile:

There is a big learning curve when trying to use R. The software itself does not look inviting to new users and can be daunting.