R-Studio

by R-tools Technology Inc.

Provides free and open source tools available

Operating system: Windows

Publisher: R-tools Technology Inc.

Release : R-Studio 7.6-15643

Antivirus check: passed

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R-Studio Data Recovery is a software for recovering accidentally deleted files in cases when it is impossible to recover files by standard methods. R-Studio Data Recovery is the most comprehensive file recovery solution for FAT12/16/32, NTFS, NTFS5 systems. However, it also works on Macintosh, Linux and FreeBSD.

The program carefully analyzes the structure of the discs for the presence of files that can be fully/partially recovered, and displays those found in a clear tree list. It is distributed on a paid basis and puts forward rather strict restrictions in the demo version.

R-Studio Data Recovery enables comprehensive file recovery across multiple systems, even when standard recovery methods fail.

R-Studio Data Recovery can recover files:

- removed without saving in the basket, and also after cleaning the basket;

- ...removed by viruses and lost in the wake of a power outage;

- after partitioning the disk and reformatting the file system;

- from hard drives with broken sectors. In this case, R-Studio Data Recovery can create an image of the entire disk or part of it and then find the files in the image;

Supports RAW format digital camera files.

- currently supports Canon, Fuji, Minolta, Nikon, Olympus, Sony, and Sigma camera files;

Data virtualization.

- R-Studio Data Recovery can show data that has been deleted but is still on the hard drive in the real file/folder structure. Or it can display the list of files available for recovery in the view sorted by extension/creation date/last access date;

Unknown file types.

- new, previously unknown file types can be added to the type database by the user;

Support for mass file recovery.

- R-Studio Data Recovery is able to apply recovery settings to all found files and restore them automatically;

Search dialog.

- you can specify the file search criteria in the file search dialog box;

Supported file systems for files.

- FAT12/16/32, NTFS, NTFS5 (Windows 2000/XP/2003/Vista), HFS/HFS+ (Macintosh), Little and Big Endian UFS1/UFS2 (FreeBSD/OpenBSD/NetBSD/Solaris) and Ext2FS/Ext3FS (Linux);

Support for non-standard RAID configurations.

- R-Studio Data Recovery allows you to specify special parameters such as block size and order, offset, and even the number of consecutive blocks. A visual editor is provided to indicate the order of the blocks;

Compression of disk images.

- When creating images of a disc or a part of it, you can compress them or split them into several files for burning to CD/DVD/Flash.


PROS
Offers a comprehensive package for data analysis and visualization.
Integrated with R programming language, enhancing usability.
Supports direct code execution to prevent errors and save time.

CONS
May be difficult for beginners to understand.
Lacks a comprehensive user interface.
Occasional performance issues with large data sets.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Cole
While it doesn't have remarkable adaptability of R's graphical gadgets, it gives all that numerous clients would require. Furthermore, R Studio permits you to utilize R's graphical gadgets in any capacity that you can utilize them in the fundamental R GUI, in case you feel the need .The Advantages R Studio, cloud doesn't expect you to introduce any product on your PC, making it simple to plunge your toe into information science with R with at least quarrel. Also, the best part is that R studio. cloud accounts are free for individual use.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Alexander K*******q
R-Studio is a data recovery software suite for Windows, Mac, and Linux. It is designed to recover data from local and network drives, even if they have been formatted or partially damaged. It can also be used to recover data from deleted or lost partitions. The software provides several recovery options, including those for individual files, RAID recovery, and disk cloning. Additionally, it can be used to create disk images and backup data.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Caleb Vunk
I have used R-Studio software for my data analysis projects and I find it quite helpful. It has an easy to understand and intuitive user interface. It is also quite fast, allowing me to work on large datasets quite quickly. The coding is simple and straightforward, making it suitable for beginners. The in-built graphing and plotting features are also quite useful. Additionally, there is a comprehensive support system in the form of tutorials and forums. However, the software does have some limitations when it comes to larger datasets. It can also be a bit slow when working with large datasets. All in all, R-Studio is a great software for data analysis.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Nathan D.
I've been using R-Studio for a few years no and I've found it to be an intuitive and powerful tool for data anlysis and visualization, however I find that it sometiems lags and crashes when handling large datasets.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Ben Cilla
This software has a user-friendly interface and offers various useful features for data analysis. It allows for efficient coding and visualization of data. However, some functions may require prior knowledge of coding languages. The software is compatible with different operating systems and offers excellent documentation for troubleshooting. Overall, it is a reliable tool for statistical computing and data analysis.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Muhammad Reynold
R-Studio is a powerful and versatile software for statistical analysis and data manipulation.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Cole
R-Studio software offers an intuitive and user-friendly interface for data analysis and visualization in R.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Angus
A reliable and efficient tool for data analysis and visualization.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Harrison
A reliable tool that aids in data analysis, coding, and visualization for statistical purposes.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Theo
Intuitive, comprehensive tool for data analysis and visualization.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Kayden
Intuitive, comprehensive data visualization tool.
David
Powerful tool for data analysis and statistical modeling.
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