R-Studio is used to recover lost data and files using advanced recovery functionalities. This software is capable of recovering files from a different platform such as Linux, Windows and ReFS (Resilient File System) that is used in Windows server. It has advanced RAID reconstruction module for faster data recovery. Along with this, it has multi-language GUI that allows the user to choose their preferred language. This software is equipped with a bundle of features such as extensive and versatile file search, file sorting and file recovery. It is a web-based application that will be deployed on-premise for experienced users. However, beginners may find it difficult to operate this software.
|Support||Business Hours Online||Customer Type||Large Enterprises Medium Business Small Business|
|API||NA||Contact||Richmond Hill, Canada / 1-888-978-8266|
|Deployment||Installed - Windows Installed - Mac||Category||Backup Software|
Disclaimer: The pricing details were last updated on 04/04/2018 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.
Pros: I really like being able to make predictive models through R. Ive been using this software for about 8 months now and I feel like I am staring to get the hang of it. it requires just a good background in coding but the applications that you can use it for are great! Ive learned how to calculate discrete probability functions on R and its very accurate. oh and its free!
Cons: My biggest complaint about R is the huge learning curve that comes along with trying to learn it. I have to say that I was very frustrated at times. I had no previous experience in small amounts of coding or statistics but I must say that this software is good when you get the hang of it
Overall: With R I have actually used some of the predictive modeling to help make some financial decisions where I work and it has been very valuable for what our needs are.
Pros: 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.
Cons: 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.
Overall: 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.
Pros: It is user friendly. Make using R programming easy with its features.
Cons: Sometimes is does not run properly and needs to be restarted
Overall: I am using it for almost 2 years and it makes me like the programming much more!
Pros: It has a user-friendly interface and it's much easier to use R-studio rather than an R console. It's a great tool for statistics and data analysis.
Cons: If you are working in an optimization area, this tool does not provide many options.
Pros: R studio is the gold standard for modern day coding solution. I just love it
Cons: The UI could be better, long scripts of code starts becoming confusing because of its not so good UI
Pros: R-Studio is great for doing any form of statistical analysis. R is very easy to learn and everything seems to flow once you get the basics down. There are countless number of packages that you can use to make your analytics and data manipulation easier. There are even packages to allow you to use python libraries and tools.
Cons: No major complaints. Sometimes it's difficult to find the packages (and their documentation) easily. I often find myself googling things instead of using the built in help function.
Overall: R is incredibly simple and allows for easy manipulation and analyzation of data. It is a tool that handles anything from basic data manipulation to complex machine learning applications.
Pros: Well compared to other similar software this one is userfriendly
Cons: Can't think of anything at this time that I didn't like.
Overall: Overall was happy to use it.
Pros: R is a great tool. The amount of packages that are offered within it is mind-boggling, and they all have countless capabilities. I use one called "psych" to do different statistical calculations on data. It's awesome.
Cons: The only cons in my opinion so far is that it can be challenging to learn. Syntax differs between packages, so that's just something you have to get used to. The only upside is that Google oftentimes can help you figure out what you're trying to do.
Pros: R Studio works fantastically to make full use of the powerful capabilities of the language.
Cons: No real problems - the learning curve for R can be steep but is worth it!
Pros: Its an easy software to learn and use. The interface is very user friendly and allows for easy navigation within the software. R Studio is a great software to master as it is an easier tool than R and also produces the same results.
Cons: At times, R Studio can be confusing as there is a lot of different sections open at one time and navigating through different things takes multiple steps. Some things in R Studio can be deleted or removed as it doesn't help the overall software and makes it seem like a lot things are going on at once.
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