---
description: RStudio Desktop : qu'en pensent les utilisateurs ? Lisez les avis clients sur RStudio Desktop, consultez les prix, tarifs, abonnements et découvrez ses fonctionnalités grâce à Capterra Luxembourg.
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title: RStudio Desktop - Avis, notes, prix et abonnements - Capterra Luxembourg 2026
---

Breadcrumb: [Accueil](/) > [Logiciels de gestion du code source](/directory/31420/source-code-management/software) > [RStudio Desktop](/software/210152/rstudio)

# RStudio Desktop

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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.
> 
> Conclusion : 118 utilisateurs lui ont donné la note de **4.7/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**.

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## Présentation

### Qui utilise RStudio Desktop ?

Conçu pour les professionnels de la science des données et les entreprises du secteur des sciences, du gouvernement et de l'éducation ayant des équipes qui utilisent le langage de programmation R et Python.

## Statistiques et notes

| Métrique | Notation | En détail |
| **Note globale** | **4.7/5** | 118 Avis |
| Simplicité | 4.3/5 | D'après l'ensemble des avis |
| Support client | 4.3/5 | D'après l'ensemble des avis |
| Rapport qualité-prix | 4.7/5 | D'après l'ensemble des avis |
|  Fonctionnalités | 4.6/5 | D'après l'ensemble des avis |
| Pourcentage de recommandation | 90% | (9/10 Probabilité de recommander le produit) |

## À propos de l'éditeur

- **Société**: Posit
- **Pays**: Boston, É.-U.

## Contexte commercial

- **À partir de**: 4.975,00 $US
- **Type de licence**:  (Version gratuite disponible) (Essai gratuit)
- **Public cible**: Auto-entrepreneur, 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+
- **Déploiement et plateformes**: Mac (ordinateur), Windows (ordinateur)
- **Langues**: anglais
- **Pays disponibles**: États-Unis

##  Fonctionnalités

- Débogage
- Développement du code
- Examen du code
- Fonctions pour développeurs
- Gestion de versions
- Interface graphique
- Intégration continue
- Modification du code
- Modélisation de données

## Category

- [Logiciels de gestion du code source](https://www.capterra.lu/directory/31420/source-code-management/software)

## Catégories connexes

- [Logiciels de gestion du code source](https://www.capterra.lu/directory/31420/source-code-management/software)
- [Logiciels IDE (Environnement de développement intégrés )](https://www.capterra.lu/directory/32755/integrated-development-environment-%28ide%29/software)

##  Logiciels similaires

1. [Microsoft Visual Studio](https://www.capterra.lu/software/101288/microsoft-visual-studio) — 4.6/5 (3006 reviews)
2. [IntelliJ IDEA](https://www.capterra.lu/software/136010/intellij-idea) — 4.7/5 (1257 reviews)
3. [PyCharm](https://www.capterra.lu/software/186625/pycharm) — 4.7/5 (370 reviews)
4. [Eclipse IDE](https://www.capterra.lu/software/205298/eclipse-ide) — 4.3/5 (203 reviews)
5. [Apache NetBeans](https://www.capterra.lu/software/178681/apache-netbeans) — 4.3/5 (231 reviews)

## Avis

### "R for Data Analysts" — 5.0/5

> **Vivek** | *19 novembre 2021* | Services aux consommateurs | Taux de recommandation : 9.0/10
> 
> **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.
> 
> 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.

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### "Great tool for coding in R" — 5.0/5

> **Prince** | *19 mai 2021* | Agriculture | Taux de recommandation : 9.0/10
> 
> **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.
> 
> 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.

-----

### "R Studio - larger learning curve than SPSS but will save you money" — 3.0/5

> **Utilisateur vérifié** | *22 septembre 2020* | Recherche | Taux de recommandation : 7.0/10
> 
> **Avantages**: I love the price of R/Rstudio - free\!  Competitors such as SPSS/IBM are expensive for one year licenses.  I love how Rstudio is open source.
> 
> **Inconvénients**: I dislike how it's more similar to traditional python coding.  Competitors such as SPSS have point and click options that are more comprehensive and straightforward.
> 
> R studio works well, but it could be better.  It's an open source software so I do not know if I should expect it to be better, though.  You get more than what you pay for (nothing), but the expensive options are worth the price if you can afford it.

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### "Exceptional IDE for Working with Data" — 5.0/5

> **Utilisateur vérifié** | *30 mars 2021* | Génie civil | Taux de recommandation : 10.0/10
> 
> **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.
> 
> 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.

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### "R Studio" — 4.0/5

> **Ibraheem** | *3 février 2022* | Enseignement supérieur | Taux de recommandation : 10.0/10
> 
> **Avantages**: It's user friendly nature and it's community
> 
> **Inconvénients**: 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
> 
> I usually perform simulation, statistical analysis and optimization. It's help me save time and lots of variety of options to analysis

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## Liens

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