Durchschnittliche Bewertung73 Bewertungen
- Gesamt 4.6 / 5
- Benutzerfreundlichkeit 4.2 / 5
- Kundenservice 4.2 / 5
- Funktionen 4.6 / 5
- Preis-Leistungs-Verhältnis 4.7 / 5
- Startpreis 79,99 $
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Installiert - Windows
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Die hilfreichsten Reviews für R-Studio
Bewertet am 13.3.2019
Best IDE for R
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.
Bewertet am 8.1.2019
For all statistics and data analysis needs
Vorteile: R studio - IDE is has made coding in R easier. This software stands out from other such IDEs for different programming platforms because of its ease of installation (Won't face problems related to environment variable/path as often as faced by other tools) and features - the notepad/console/library etc are available in others but this tool lets you look at the variables/dataset - sort and filter interactively without having to code every step. R studio is available in the cloud version as well - so we need not install it in every computer in case we want to use on the go.
Nachteile: I like everything about this tool, I would definitely recommend this to all R programmers
Bewertet am 29.10.2019
Excellent tool for modelling!
Vorteile: Really great tool and the execution time is quite low!
Nachteile: There is nothing that I did't like about R-Studio.
Bewertet am 18.12.2018
Excellent IDE for R.
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.
Bewertet am 21.5.2019
Best tool to use when working in R
Kommentare: Overall, this software is great and makes my day to day life much easier. There aren't many issues to complain about.
Vorteile: I like pretty much everything about this software. It makes my code writing tasks so much easier and more enjoyable. I really like the integration with Bash and Python. It's nice being able to write code in various languages in the same document. I like being able to see my code, console, global environment, and other windows all at the same time which is done with finesse in this software. Having a easy-access, searchable "help" window is a huge time saver.
Nachteile: There are some bugs I come across every now and again. For example, I had code that would not work like expected. The function I was using was giving a weird output. After troubleshooting for an hour, I closed out of R-Studio, went back in and the function was working as it should. I've encountered other similar issues as well where a simple, "close" and "reopen" fixes problems.