December 30, 2021 / Rating: 4.5 / Views: 848 Gallery of Images "R-Studio windows Archives" (43 pics):
R-Studio windows Archives
R for Windows Build Tools Archive. This document is a collection of resources that were used in the past for building packages for R under Microsoft Windows, and for building R itself version 1.9.0 or later. The original collection was put together by Prof. Brian Ripley and Duncan Murdoch; it is currently maintained by Jeroen Ooms.
Empowered by the new unique data recovery technologies, R-STUDIO is the most comprehensive data recovery solution for recovery files from NTFS, NTFS5, Re FS, FAT12/16/32, ex FAT, HFS/HFS and APFS (Macintosh), Little and Big Endian variants of UFS1/UFS2 (Free BSD/Open BSD/Net BSD/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.FAT12, FAT16, FAT32, ex FAT, NTFS, NTFS5, Re FS / Re FS2 / Re FS 3.4 (Resilient File System, Windows 2012/2016/2019/2022 Server), HFS/HFS and APFS (including encryption) (Macintosh), Little and Big Endian variants of UFS1/UFS2 (Free BSD/Open BSD/Net BSD/Solaris) and Ext2/Ext3/Ext4 FS (Linux), ISO9660 (CDs/DVDs/Images), UStar/Tar/CPIO/Pax* (Tape drives).As we have seen in this article on how to install R and RStudio, R is useful for many kind of computational tasks and statistical analyses.However, it would not be so powerful and useful without the possibility to import datasets into R.As you will most likely use R with your own data, being able to import it into R is crucial for any user.In this article I present two different ways to import an Excel file; (i) via the text editor and (ii) in a more “user-friendly” way.