We are committed to providing fast, efficient, and affordable software solutions that set new standards in the software development industry.
  • R-Studio for Linux Home Page
  • R-Studio for Linux Technical Documentation

Data Recovery over Network

Generally, data restoring over network is very much the same as that on a local computer.

R‑Studio Agent should be running on the network computer where data are to be recovered.

Read the Connecting over the Internet topic to learn how to establish connection between R‑Studio for Linux and R‑Studio Agent over the Internet.

To connect to a remote computer

1 Click the Connect to Remote button, or

Select Connect To Remote on the Drive menu

2 Specify the name or IP address of the remote computer where data are to be recovered in the Computer : field
Click to enlarge

Connect to Remote Computer dialog box

The Port should coincide with the port specified for the R‑Studio Agent .

The Password: field is for the password of R‑Studio Agent running on the remote computer. If you want to see the entered password, right-click the field and select Show password on the context menu.

Note: If the remote computer is started with R‑Studio Agent Emergency , leave this field blank.

> R‑Studio for Linux will connect to the remote computer and show its hard drive and logical disk structure of the remote computer below the device/disk structure of your local computer

It can be processed the same way as that on a local computer.

Click to enlarge

Recover dialog box

When the Recover dialog box appears, you may select whether you want to save recovered files on the local or remote computer. Saving recovered files on a remote computer may be useful when the remote computer has a healthy disk because you do not have to transfer files over network. It may be an external USB hard drive, for example.

When R‑Studio for Linux connects to the remote computer, it check if R‑Studio Agent is present and its password. If there is no R‑Studio Agent installed, R‑Studio for Linux may try to remotely install it. See the R‑Studio Agent topic for details.