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Was ist RStudio Desktop?

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

Wer verwendet RStudio Desktop?

Wurde für Datenwissenschaftler und spezifische Teams von Unternehmen in der Wissenschafts-, Regierungs- und Bildungsbranche entwickelt, die die Programmiersprachen R und Python verwenden.

RStudio Desktop Software - 1
RStudio Desktop Software - 2
RStudio Desktop Software - 3

Du bist nicht sicher, ob RStudio Desktop das Richtige ist? Mit einer beliebten Alternative vergleichen

RStudio Desktop

RStudio Desktop

4,7 (118)
4.975,00 $
Jahr
Kostenlose Version
Kostenlose Testversion
11
Keine Integrationen gefunden
4,4 (118)
4,7 (118)
4,3 (118)
VS.
Startpreis
Preisoptionen
Funktionen
Integrationen
Benutzerfreundlichkeit
Preis-Leistungs-Verhältnis
Kundenservice
249,00 $
Jahr
Kostenlose Version
Kostenlose Testversion
13
Keine Integrationen gefunden
4,5 (344)
4,6 (344)
4,2 (344)
Die grünen Bewertungsbalken geben an, welches Produkt gemessen an der Durchschnittsbewertung und der Zahl der Bewertungen am besten abschneidet.

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Bewertungen über RStudio Desktop

Durchschnittliche Bewertung

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

Nutzerbewertungen nach Unternehmensgröße (Angestellte)

  • <50
  • 51-200
  • 201-1.000
  • >1.001

Bewertungen nach Punktzahl finden

5
73%
4
24%
3
3%
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 Neu

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.