Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.
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Sublime Text
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Sublime Text is a highly customizable text editing solution featuring advanced API, Goto functions, and other features, from Sublime HQ in Sydney.
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Posit
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Posit
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Community Pulse
Posit
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We have considered other editors for R, but no other editor is as feature rich as RStudio. Since RStudio makes an open-source version of their products available, we were able to increase adoption within the organization with zero risk and zero cost and buy into the commercial …
In my humble opinion, if you are working on something related to Statistics, RStudio is your go-to tool. But if you are looking for something in Machine Learning, look out for Python. The beauty is that there are packages now by which you can write Python/SQL in R. Cross-platform functionality like such makes RStudio way ahead of its competition. A couple of chinks in RStudio armor are very small and can be considered as nagging just for the sake of argument. Other than completely based on programming language, I couldn't find significant drawbacks to using RStudio. It is one of the best free software available in the market at present.
My CMS has a small window in which I can edit custom HTML/CSS. It can be expanded some, but not as much as I would like. It also displays all code as dark text on a white background. On a page where I am doing extensive custom coding, it is helpful to see it in a larger window and in a color-coded display so that I don't have to strain my eyes as hard. Especially when I'm trying to scan for specific elements and target issues and so that I don't have to scroll endlessly in a tiny window.
The support is incredibly professional and helpful, and they often go out of their way to help me when something doesn't work.
The one-click publishing from RStudio Connect is absolutely amazing, and I really like the way that it deploys your exact package versions, because otherwise, you can get in a terrible mess.
Python doesn't feel quite as native as R at the moment but I have definitely deployed stuff in R and Python that works beautifully which is really nice indeed.
Python integration is newer and still can be rough, especially with when using virtual environments.
RStudio Connect pricing feels very department focused, not quite an enterprise perspective.
Some of the RStudio packages don't follow conventional development guidelines (API breaking changes with minor version numbers) which can make supporting larger projects over longer timeframes difficult.
There is no viable alternative right now. The toolset is good and the functionality is increasing with every release. It is backed by regular releases and ongoing development by the RStudio team. There is good engagement with RStudio directly when support is required. Also there's a strong and growing community of developers who provide additional support and sample code.
For someone who learns how to use the software and picks up on the "language" of R, it's very easy to use. For beginners, it can be hard and might require a course, as well as the appropriate statistical training to understand what packages to use and when
This is a programmers tool. As such a lot of the features and benefits are lost on a non-technical user. To get the most out of the tool you need to have a basic crash course in how it works and what it can do. The documentation and community are good, but it takes a bit of time to get up to speed.
RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses
Since R is trendy among statisticians, you can find lots of help from the data science/ stats communities. If you need help with anything related to RStudio or R, google it or search on StackOverflow, you might easily find the solution that you are looking for.
Never had to use their customer support before. There is ample documentation online so it's straightforward to find a solution to any problem you might encounter. For example, I needed to convert a string of HTML code to a properly formatted HTML file to "modify." Easy to do when there are so many users of the product who have needed to do that same thing before.
RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful when we had R heavy code with some python threaded in. Overall we picked Rstudio for the features it provided for our data analysis needs and the ability to interface with our existing resources.
We've used both Notepad++ and Atom; both are great but nothing really beats the Sublime Text UI; super intuitive and friendly and does everything you need without overwhelming you with stuff you don't. Other options are free, but for our organization, it was well worth the small license cost for the persistent use of a great product.
RStudio is very scalable as a product. The issue I have is that it doesn't necessarily fit in nicely with the mainly Microsoft environment that everybody else is using. Having RStudio for us means dedicated servers and recruiting staff who know how to manage the environment. This isn't a fault of the product at all, it's just part of the data science landscape that we all have to put up with. Having said that RStudio is absolutely great for running on low spec servers and there are loads of options to handle concurrency, memory use, etc.
Using it for data science in a very big and old company, the most positive impact, from my point of view, has been the ability of spreading data culture across the group. Shortening the path from data to value.
Still it's hard to quantify economic benefits, we are struggling and it's a great point of attention, since splitting out the contribution of the single aspects of a project (and getting the RStudio pie) is complicated.
What is sure is that, in the long run, RStudio is boosting productivity and making the process in which is embedded more efficient (cost reduction).
Sublime Text has helped me to focus on specific tasks, cutting out the clutter that many other IDEs have. As such, it has helped me be a more productive employee because I don't get dazed by hundreds of buttons. I can focus on just the code.
Sublime Text is so affordable that it's a no-brainer to have an extra tool in your toolset.
The Search features of Sublime Text are so useful that it has saved me a great amount of time compared to using Find & Replace menus in Xcode, Android Studio, or Eclipse.
