Mac Users To Install R. Open an internet browser and go to www.r-project.org. Click the 'download R' link in the middle of the page under 'Getting Started.' Select a CRAN location (a mirror site) and click the corresponding link. Click on the 'Download R for (Mac) OS X' link at the top of the page. Download WinRAR for Mac. WinRAR is a powerful archive manager. It can backup your data and reduce the size of email attachments, decompress RAR, ZIP and other files. RStudio is the premier integrated development environment for the R statistical programming language.It is available in open source and commercial editions and runs on the desktop (Mac, Linux, and Windows) or over the web with RStudio Server.
- Latest Version:R-Studio 6.3 build 5571 LATEST
- Requirements:Mac OS X 10.6 or later
- Author / Product:R-Tools Technology Inc. / R-Studio for Mac
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In addition to being a full-featured data recovery utility, R Studio also includes: An advanced RAID reconstruction module. A feature-rich text/hexadecimal editor. An entire advanced disk copying/imaging module in one single piece of software, which makes R-Studio for Mac your ideal complete solution for creating a data recovery workstation.
Empowered by the new unique data recovery technologies, RStudio for macOS is the most comprehensive data recovery solution for recovery files from NTFS, NTFS5, ReFS, FAT12/16/32, exFAT, HFS/HFS+ and APFS (Macintosh), Little and Big Endian variants of UFS1/UFS2 (FreeBSD/OpenBSD/NetBSD/Solaris) and Ext2/Ext3/Ext4 FS (Linux) partitions. It also uses raw file recovery (scan for known file types) for heavily damaged or unknown file systems. It functions on local and network disks, even if such partitions are formatted, damaged or deleted. Flexible parameter settings give you absolute control over data recovery.
Features and Highlights
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- Standard 'Windows Explorer' - style interface.
- Data recovery over Network. Files can be recovered on network computers running Win95/98/ME/NT/2000/XP/2003/Vista, Linux and UNIX.
- Supported file systems: FAT12, FAT16, FAT32, NTFS, NTFS5 (created or updated by Win2000/XP/2003/Vista), Ext2FS/Ext3FS (Linux), UFS1/UFS2 (FreeBSD/OpenBSD/NetBSD).
- Recognition and parsing Dynamic (Windows 2000/XP/2003/Vista/7/8/Windows 10), Basic and BSD (UNIX) partitions layout schema.
- Damaged RAID recovery. If OS cannot recognize your RAID, you can create a virtual RAID from its components. Such virtual RAID can be processed like a real one.
- Creates IMAGE FILES for an entire Hard Disk, Partition or its part. Such image files can be processed like regular disks.
- Data recovery on damaged or deleted partitions, encrypted files (NTFS 5), alternative data streams (NTFS, NTFS 5).
- FDISK or other disk utilities have been run;
- VIRUS has invaded; FAT is damaged; MBR is destroyed.
- Recognizes localized names.
- Recovered files can be saved on any (including network) disks accessible by the host operating system.
- File or disk content can be viewed and edited in the hexadecimal editor. The editor supports NTFS file attribute editing.
Note: Limited functionality in demo version.
Also Available: Download R-Studio for Windows
Also Available: Download R-Studio for Windows
R is a computer language. It’s a tool for doing the computation and number-crunching that set the stage for statistical analysis and decision-making. RStudio is an open source integrated development environment (IDE) for creating and running R code. It’s available in versions for Windows, Mac, and Linux. Although you don’t need an IDE in order to work with R, RStudio makes life a lot easier.
Download R from the Comprehensive R Archive Network (CRAN). In your browser, type this address if you work in Windows:
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cran.r-project.org/bin/windows/base/
Type this one if you work on the Mac:
cran.r-project.org/bin/macosx/
Click the link to download R. This puts the win.exe file in your Windows computer, or the .pkg file in your Mac. In either case, follow the usual installation procedures. When installation is complete, Windows users see an R icon on their desktop, Mac users see it in their Application folder.
Both URLs provides helpful links to FAQs. The Windows-related URL also links to “Installation and other instructions.”
Now for RStudio.
Click the link for the installer for your computer, and again follow the usual installation procedures.
After the RStudio installation is finished, click the RStudio icon to open the window shown.
If you already have an older version of RStudio and you go through this installation procedure, the install updates to the latest version (and you don’t have to uninstall the older version).
The large Console pane on the left runs R code. One way to run R code is to type it directly into the Console pane.
The other two panes provide helpful information as you work with R. The Environment and History pane is in the upper right. The Environment tab keeps track of the things you create (which R calls objects) as you work with R. The History tab tracks R code that you enter.
Get used to the word object. Everything in R is an object.
The Files, Plots, Packages, and Help tabs are in the pane in the lower right. The Files tab shows files you create. The Plots tab holds graphs you create from your data. The Packages tab shows add-ons (called packages) you downloaded as part of the R installation. Bear in mind that “downloaded” doesn’t mean “ready to use.” To use a package’s capabilities, one more step is necessary, and you’ll want to use packages.
This figure shows the Packages tab. The packages are in either the user library (which you can see in the figure) or the system library (which you have to scroll down to).
The Help tab, shown here, provides links to a wealth of information about R and RStudio.
To tap into the full power of RStudio as an IDE, click the larger of the two icons in the upper right corner of the Console pane. That changes the appearance of RStudio so that it looks like this:
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The top of the Console pane relocates to the lower left. The new pane in the upper left is the Scripts pane. You type and edit code in the Scripts pane and press Ctrl+R (Command+Enter on the Mac), and then the code executes in the Console pane.
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Ctrl+Enter works just like Ctrl+R. You can also select
Code → Run Selected Line(s)
.