Sas on Anvil

content/applications/app_specific/running_sas.md

@@ -4,9 +4,9 @@ description = "How to run SAS on HCC resources."
 +++
 
 
-- [Running SAS through the command line](#connecting-to-jupyterhub)
-- [Running SAS on JupyterHub](#connecting-to-jupyterhub)
-- [Running SAS on Anvil](#connecting-to-jupyterhub)
+- [Running SAS through the command line](#sas-on-hcc-clusters)
+- [Running SAS on JupyterHub](#sas-on-jupyterhub)
+- [Running SAS on Anvil](#sas-on-anvil)
 
 This quick start demonstrates how to implement a SAS program on
 HCC supercomputers through the command line and JupyterHub, and on HCC's Anvil platform. The sample code and submit scripts can be
@@ -95,51 +95,18 @@ Replace `<username>` with your HCC username.
 
 #### Sample Output
 
-The results of the t-test are computed and printed to the `.lst` file (see
-below). 
-{{%expand "t-test.lst" %}}
-{{< highlight batchfile>}}
-The SAS System                       
-
-                                                         Obs    pre    post
-
-                                                           1     62     61
-                                                           2     63     62
-                                                           3     58     59
-                                                           4     64     61
-                                                           5     64     63
-                                                           6     61     58
-                                                           7     68     61
-                                                           8     66     64
-                                                           9     65     62
-                                                          10     67     68
-                                                          11     69     65
-                                                          12     61     67
-                                                          13     64     65
-                                                          14     61     63
-                                                          15     63     62
-
-                                                           The SAS System                       
-
-                                                        The TTEST Procedure
-
-                                                      Difference:  pre - post
-
-                                    N        Mean     Std Dev     Std Err     Minimum     Maximum
-
-                                   15      1.0000      3.0237      0.7807     -6.0000      7.0000
-
-                                       Mean       95% CL Mean        Std Dev      95% CL Std Dev
-
-                                     1.0000     -0.6745   2.6745      3.0237      2.2137   4.7687
-
-                                                       DF    t Value    Pr > |t|
-
-                                                       14       1.28      0.2211
-{{< /highlight >}}
-{{% /expand %}}
+The results of the t-test are computed and printed to the `.lst` file 
 
 ## SAS on JupyterHub
 
 
 ## SAS on Anvil
+
+SAS can also be ran on a Windows 10 instance on anvil. This allows SAS scripts to be run with a full GUI environment. 
+
+Start off creating a `Windows 10 SAS` instance from the [Anvil dashboard](https://anvil.unl.edu/). [Create an instance]({{< relref "../../anvil/creating_an_instance.md" >}}) and use the image labeled `Windows 10 SAS`. Once the instance is fully launched, [connect to the instance]({{< relref "../../anvil/connecting_to_windows_instances.md" >}}) using the retrieved password. After connecting to the instance and logging , SAS can be launched from the desktop shortcut. 
+{{< figure src="/images/sasAnvilDesktop.png" height="450" >}}   
+From here sas scripts can be ran from the editor at the bottom of the SAS window. Scripts can also be opened from a script file on the Anvil instance. 
+{{< figure src="/images/sasAnvil.png" height="450" >}}   
+Executing a script is done at the top of the SAS window `Run` and click `Submit`. When the script finishes executing, the results will be displayed.
+{{< figure src="/images/sasAnvilResults.png" height="450" >}}   
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