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Un programme d'analyse statistique qui fournit un environnement de développement intégré pour R tout en permettant aux équipes de développer, de partager et de gérer leur espace de travail.

En savoir plus sur RStudio Desktop

Avantages :

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.

Inconvénients :

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.

RStudio Desktop - Notes

Note moyenne

Facilité d'utilisation
4,4
Service client
4,3
Fonctionnalités
4,6
Rapport qualité-prix
4,7

Probabilité de recommander le produit

9,2/10

RStudio Desktop a reçu une note globale de 4,7 étoiles sur 5 d'après 120 avis d'utilisateurs publiés sur Capterra.

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Mat
Ingenieur (France)
Énergies renouvelables et environnement, 51–200 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Un indispensable pour la création et la gestion des codes

5,0 il y a 6 mois

Commentaires : Utilisation simple et complète, l'expérience globale est très satisfaisante.

Avantages :

La possibilité de travailler avec plusieurs langages informatiques. L'interface graphique claire et travaillée, qui permettent d'avoir toutes les informations à disposition pour travailler efficacement

Inconvénients :

Pour l'utilisation faite, pas de bug repéré, et pas de fonctionnalité manquante observée.

Prince
Prince
Consultant (É.-U.)
Utilisateur LinkedIn vérifié
Agriculture, 501–1 000 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Alternatives envisagées précédemment :

Great tool for coding in R

5,0 il y a 3 ans

Commentaires : 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.

Avantages :

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.

Inconvénients :

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.

Utilisateur vérifié
Utilisateur LinkedIn vérifié
Génie civil, 2–10 employés
Temps d'utilisation du logiciel : 6 à 12 mois
Source de l'avis

Alternatives envisagées précédemment :

Exceptional IDE for Working with Data

5,0 il y a 3 ans

Commentaires : 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.

Avantages :

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.

Inconvénients :

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

Austin
Austin
Software Analyst (Argentine)
Utilisateur LinkedIn vérifié
Services et technologies de l'information, 201–500 employés
Temps d'utilisation du logiciel : 6 à 12 mois
Source de l'avis

RStudio, your Python buddy IDE

4,0 le mois dernier Nouveau

Commentaires : I was a user migrated from Eclipse to RStudio, and the change of coding language and environment was rough at the start, but once it gets going, it's amazing how fast you can solve every day problems like it's nothing.

Avantages :

I think the best thing about RStudio Desktop are the scheduler for Python scripts, personally these have saved hours of tedious work making it a must-use tool for our team.

Inconvénients :

Maybe the first time configuration could be a little more intuitive or assisted, once you set up the initial config it's really simple to follow along tutorials or videos to make work.

Rachel
graduate student (É.-U.)
Enseignement supérieur, 10 000+ employés
Temps d'utilisation du logiciel : 1 à 5 mois
Source de l'avis

Many functionalities but large learning curve

3,0 il y a 4 ans

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.

Vivek
Vivek
Analytics Consultant (Inde)
Utilisateur LinkedIn vérifié
Services aux consommateurs, 1 001–5 000 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

R for Data Analysts

5,0 il y a 3 ans

Commentaires : 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.

Avantages :

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.

Inconvénients :

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 (É.-U.)
Gestion de l'enseignement, 51–200 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

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

5,0 il y a 2 ans

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

Avantages :

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.

Inconvénients :

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.

Alejandro
PhD student (Mexique)
Enseignement supérieur, 201–500 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Great way to start coding.

5,0 il y a 2 ans

Commentaires : Is great! You start to reduce your fear and anxiety using this software, it is very intuitive and user friendly.

Avantages :

It is great that it has a interfase that helps you to be familiar with the terminal, variables and libraries.

Inconvénients :

It can be helpful a tutorial for each feature, helping to understand all the things that you can do.

Utilisateur vérifié
Utilisateur LinkedIn vérifié
Logistique et chaîne d'approvisionnement, 201–500 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

The best IDE out there for R programming

5,0 il y a 2 ans

Commentaires : 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.

Avantages :

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.

Inconvénients :

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

Utilisateur vérifié
Utilisateur LinkedIn vérifié
Logiciels, 501–1 000 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Excellent tool for modelling!

5,0 il y a 5 ans

Avantages :

Really great tool and the execution time is quite low!

Inconvénients :

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

Utilisateur vérifié
Utilisateur LinkedIn vérifié
Enseignement supérieur, 1 001–5 000 employés
Temps d'utilisation du logiciel : 6 à 12 mois
Source de l'avis

Code with simple insights to what you do

5,0 il y a 3 ans

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

Avantages :

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.

Inconvénients :

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 (É.-U.)
Gestion de l'enseignement, 51–200 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

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

5,0 il y a 2 ans

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

Avantages :

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.

Inconvénients :

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.

Utilisateur vérifié
Utilisateur LinkedIn vérifié
Logiciels, 501–1 000 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Best IDE for R

4,0 il y a 5 ans

Commentaires : 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.

Avantages :

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.

Inconvénients :

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 (É.-U.)
Services financiers, 10 000+ employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Awesome free analytical software

5,0 il y a 3 ans

Commentaires : 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.

Avantages :

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.

Inconvénients :

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

Ailed
Engineer (Mexique)
Enseignement supérieur, 1 001–5 000 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Start to code!

5,0 l’année dernière

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

Avantages :

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.

Inconvénients :

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

Utilisateur vérifié
Utilisateur LinkedIn vérifié
Recherche, 11–50 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Excellent IDE for R.

4,0 il y a 5 ans

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

Avantages :

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.

Inconvénients :

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 (Inde)
Enseignement supérieur, 10 000+ employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

A Good Tool For R Programmers

4,0 il y a 3 ans

Commentaires : 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.

Avantages :

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.

Inconvénients :

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.

Anette
Student (Belgique)
Biotechnologie, Auto-entrepreneur
Temps d'utilisation du logiciel : 6 à 12 mois
Source de l'avis

RStudio Desktop review as a student

4,0 l’année dernière

Commentaires : I have been using RStudio Desktop as a Biomedical Science student as part of my courses Applied Biostatistics and Bioinformatics. It is a powerful tool that provides an IDE for data analysis and visualization with R. RStudio Desktop has a user-friendly and intuitive interface which makes it easy to write and execute code, manage packages and libraries, and visualize data all in one place. In addition, one important aspect is its collaboration features and its ability to share projects, code, and data with classmates via GitHub or RStudio Cloud, which has been helpful during team projects. Additionally, the software comes with an excellent integration with the ggplot2 library that allows the creation of attractive plots in no time, perfect for school reports. Overall, I would highly recommend RStudio Desktop to any science student for data analysis and visualization.

Avantages :

What I like the most about RStudio Desktop is its intuitive and user-friendly interface, which allows people with non to limited knowledge of data science or coding, to perform statistic analysis with very little issues.

Inconvénients :

The software can be quite resource-intensive, which can slow down the computer, especially when working on large projects. I have also encounter some bugs when installing packages.

Anastasios
Data Science Manager (Australie)
Recherche, 11–50 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Best IDE for R

5,0 l’année dernière

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

Avantages :

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).

Inconvénients :

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

Verónica
PhD student (Mexique)
Enseignement supérieur, 501–1 000 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

An improve to R

5,0 il y a 2 ans

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

Avantages :

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

Inconvénients :

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

athira
research scholar (Inde)
Recherche, 201–500 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Great solution for data analysis

4,0 il y a 3 ans

Avantages :

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

Inconvénients :

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

Mourad
IT Faculty (Canada)
Enseignement supérieur, 1 001–5 000 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

RStudio IDE

4,0 il y a 2 ans

Commentaires : I am very pleased with RSudio as it is the best IDE for data analysis

Avantages :

Rstudio has many interesting features, including easy integration with GitHub and RStudio cloud, and output reports in multiple formats, such as PDF, HTML. In addition, it provides a graphical user interface (GUI) as well as a command-line interface (CLI) to manage R packages. It also supports in-line code execution and in-line plotting.

Inconvénients :

Debugging is inefficient in Rstudio, and the software sometimes freezes, especially when working with large datasets.

Martin
PhD Candidate (É.-U.)
Gestion de l'enseignement, 5 001–10 000 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Best stats program around

5,0 il y a 4 ans

Commentaires : Great software that has made the use of R for stats way easier.

Avantages :

I like that makes R language a bit more intuitive, since it has built-in functionalities that operate in that language, making it more accesible.

Inconvénients :

I wish it had more built-in processes, so to make the use of R easier across the board. Sometimes, I find it difficult to find which code to use.

Rahul
Analyst (É.-U.)
Produits alimentaires, 2–10 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

An amazing coding interface

5,0 il y a 5 ans

Avantages :

Great tool for coding and has amazing packages including the ggplot library

Inconvénients :

For automation this tool lacks some of the features present in python.

Bobbi
Research Assistant (É.-U.)
Recherche, 5 001–10 000 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

RStudio is Fantastic! Easy to use

5,0 il y a 4 ans

Commentaires : I typically use RStudio to solve research issues such as data analysis of growth mindset. I would highly recommend it for free, convenient data analyses.

Avantages :

It is super easy to use and convenient. Cheap compared to competitors.

Inconvénients :

I think that it is less intuitive than the competitors, such as SPSS. SPSS is much more expensive but definitely easier to use.