5. Writing and Running a R Program

1. Create a R Program

   Also commonly used in data analysis, R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. We are going to create a simple visualization program that plots some random data. The R script we are using is included in this directory.

2. Create a Job Script

   Note that unlike the previous examples we have a file we need the program to read. We will need to copy this file to the compute node before running the program. Create a file named compile_and_run.sh with the following content:

   #!/bin/bash #SBATCH --job-name=count_rows #SBATCH --output=result.out #SBATCH --error=result.err #SBATCH --time=00:10:00 #SBATCH --mem=1G module load python/3.8 cp /path/to/your/csvfile.csv $SLURM_TMPDIR # Create a virtual environment and install pandas. python -m venv $SLURM_TMPDIR/venv source $SLURM_TMPDIR/venv/bin/activate pip install pandas python count_rows.py $SLURM_TMPDIR/csvfile.csv

3. Submit the Job

   Use the sbatch command to submit your job script:

   sbatch run_python.sh

4. Monitor the Job

5. Check the Output

6. Cancel Jobs