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The general process involves updating the conda environment to include kernel related packages, and then configuring the kernel spec to allow it to be picked up by the Jupyter service. |
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Install the IRkernel package
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Activate you R Conda Environment and start R. |
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[salexan5@mblog2 ~]$ module load miniconda3/24.3.0
[salexan5@mblog2 ~]$ conda activate /project/arcc/software/conda-envs/r_4.3.3_env/
(/project/arcc/software/conda-envs/r_4.3.3_env) [salexan5@mblog2 ~]$ R
> install.packages('IRkernel')
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also installing the dependencies ‘fastmap’, ‘fansi’, ‘utf8’, ‘htmltools’, ‘pillar’, ‘base64enc’, ‘repr’, ‘evaluate’, ‘IRdisplay’, ‘pbdZMQ’, ‘crayon’, ‘jsonlite’, ‘uuid’, ‘digest’
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* DONE (IRkernel) |
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