Using libs from Anaconda Repository

You can use software packages and libraries from Anaconda Repository for IBM Cloud Pak for Data in RStudio.

Service Anaconda Repository for IBM Cloud Pak for Data is not available by default. An administrator must install this service.

To use packages and libraries from Anaconda Repository in RStudio:

Create channels, mirror packages and configure conda. See Configuring conda and creating channels.. The steps in the topic will create a .condarc file at /cc-home/_global_/config/conda. For example, the .condarc could look as follows:
```
channel_alias: <ip address>/api/repo
channels:
    - myDataScience
default_channels:
    - <ip address>/api/repo/myDataScience
```
Launch RStudio from your project and click the Terminal tab.

Verify that the .condarc file is loaded. Enter:

conda info

Example of the response:

     active environment : R-4.2-rt23.1
    active env location : /opt/conda/envs/R-4.2-rt23.1
            shell level : 1
       user config file : /home/wsuser/.condarc
 populated config files : /opt/conda/.condarc
                          /opt/conda/envs/R-4.2-rt23.1/.condarc
          conda version : 23.7.2
    conda-build version : not installed
         python version : 3.10.13.final.0
       virtual packages : __archspec=1=x86_64
                          __glibc=2.28=0
                          __linux=5.14.0=0
                          __unix=0=0
       base environment : /opt/conda  (writable)
      conda av data dir : /opt/conda/etc/conda
  conda av metadata url : None
           channel URLs : <ip address>/api/repo/myDataScience/linux-64
                          <ip address>/api/repo/myDataScience/noarch
          package cache : /opt/conda/pkgs
                          /home/wsuser/.conda/pkgs
       envs directories : /opt/conda/envs
                          /home/wsuser/.conda/envs
               platform : linux-64
             user-agent : conda/23.7.2 requests/2.31.0 CPython/3.10.13 Linux/5.14.0-284.25.1.el9_2.x86_64 rhel/8.8 glibc/2.28
                UID:GID : 1000770000:103000
             netrc file : None
           offline mode : False

You can now install packages from an R script file or the R console:
```
system('conda info')
system('conda install <conda-packages>')
```
For example, to install the assertthat package enter:
```
system('conda install r-assertthat')
```
Verify that you can load the R packages from console by clicking the Packages tab and searching for the packages that you installed. If the packages are found and listed, they were successfully installed.

Parent topic: RStudio