Advanced APFS recovery: support for encryption.

Recovers data forks, resource forks, finder information, extended file attributes and UNIX file system permissions.

Support for specific file system features: Their components with severe corrupted databases can be added manually. R-Studio for Mac can automatically recognize and assemble the components of these disk managers even if their databases are slightly damaged.

Linux Logical Volume Manager (LVM/LVM2) and mdadm RAIDs.

Dynamic disk support including unsyncronized Windows software RAIDs.

Windows Storage Spaces (created by Windows 8/8.1 and 10/Threshold 2/Anniversary/Fall Creators updates).

Apple software RAIDs, CoreStorage, File Vault, and Fusion Drive (APFS/HFS+).

R-Studio for Mac supports all three partition schemes used to define the low-level organization of data on disks formatted for use with Macintosh computers.

Hardware RAID, volume set, and stripe set support.

Recovers files on damaged or deleted partitions.

This is especially useful when new bad sectors are constantly appearing on the hard disk, and remaining information must be immediately saved.

R-Studio for Mac can first copy the entire disk or its part into an image file and then process the image file. Trying to find previously existing partitions and recover files from found partitions. When the partition structure on a hard disk was changed or damaged.After the partition with the files was reformatted, even for different file system.

Removed by virus attack or power failure.

The largest dataset I use for my dissertation has ~1 million observations and reads in as a larger CSV (400MB, although I'm currently exploring more efficient options for reading in the data).Direct access to the system disk even when Apple's System Integration Protection is enabled. I have been worried by what I've seen about some buggy features of RStudio on the new M1 Macs.the main packages I use are the usual for data manipulation (tidyverse etc.) plus some mapping ones (sf, leaflet, usmap). The potential costs pain me but I really just need something that will reliably work for the next year and won't require me to completely change everything I've been doing. I'm trying to decide if I should 1) pay for the repair or 2) just upgrade to a new laptop now since this one has been so glitchy and delay-ridden, and if so, if I should try hard to wait for the M1X. I am a graduate student right in the middle of my dissertation analyses in R and my laptop (2017 MacBook Pro, 8GB RAM, intel) has just gotten quoted for yet another expensive repair (argh!!).

Rstudio mac m1