SAS
---

SAS (Statistical Analysis System) provides extensive statistical capabilities, including tools for both specialized and enterprise-wide analytical needs. 
SAS includes a wide range of statistical analyses, including analysis of variance, regression analysis, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, and nonparametric analysis.

Interactive Mode
################

1. SSH onto the *mercury* login node with X11 forwarding :code:`ssh -X <BoothID>@mercury.chicagobooth.edu`
2. Request an interactive session on a compute node :code:`srun --mem=16G --pty bash --login`
3. Load the module with the desired version of SAS :code:`module load sas/9/9.4`
4. Start SAS by typing: :code:`sas`

.. Note:: Remember to use X11 forwarding to connect to SAS in interactive mode

Batch Mode
##########

..    Navigate to the directory with your SAS program that you want to run.
..    Type :code:`batch-sas <program.sas>` at the prompt, where program.sas is the name of your program file.

.. To run SAS in Batch Mode with the NOTERMINAL switch activated:

..    Navigate to the directory with your SAS program that you want to run.
..    Type :code:`batch-sas-noterminal <program>` at the prompt, where program is the name of your program file.

.. If the program executes without any syntax errors, SAS creates an output file called <program>.lst in the current directory and a second output file named batch.out in your home directory.

.. If the program contained errors, SAS creates an output file called <program>.log in the current directory and a second error file named batch.err in your home directory.


To run SAS in batch mode, generate a submission script similar to the one below, and run by typing :code:`sbatch submit.sh`.

.. code-block:: bash
    :caption: submit.sh

    #!/bin/bash

    #SBATCH --account=phd
    #SBATCH --mem=1G
    #SBATCH --time=0-01:00:00
    #SBATCH --job-name=example_job

    # Load the module with the desired version of matlab
    module load sas/9/9.4
    
    # create a new scratch directory for this job
    scratch_dir="/scratch/${SLURM_JOB_USER}/${SLURM_JOB_ID}"
    mkdir -p $scratch_dir

    # run script named myscript
    sas -work $scratch_dir -noterminal myscript

    # remove scratch directory when done
    rm -r $scratch_dir