Suppress non-significant correlations?

[PaigeMiller]

It is not "bloating this thread" to explain the background behind your problem. In most cases, it is a necessary ingredient that ought to be in the very first post on the topic. And in this case, @Rick_SAS has been asking for this background information.

In fact, when people focus entirely on the code problem they have and do not provide background, I think this is usually a poor way to get help. When we know the background and the code problem you are having, we can often provide alternative ways to get there rather than the approach the user is taking in writing code; often the alternatives are simpler to code and will run faster. 

[David_M]

My sincerest apologies ... I realize it can be very frustrating to the community I'm trying to ask for help.

[StatDave]

You might want to take a look at PROC CAUSALGRAPH which can help to create an adjustment set of variables that can allow you to estimate the direct effect from X to Y. CAUSALGRAPH takes a DAG as input. Also look over the CAUSALTRT, CAUSALMED, or PSMATCH procedures to deal with confounding or mediating variables.

[PaigeMiller]

Does this help?

https://communities.sas.com/t5/Statistical-Procedures/Filtering-Correlation-Matrix/m-p/645388#M30980

[Ksharp]

@Rick_SAS  did wrote a blog for this topic. Check this:

https://blogs.sas.com/content/iml/2017/08/16/pairwise-correlations-bar-chart.html

And you could find all the correlation coefficient measure at his blog:

https://blogs.sas.com/content/iml/2017/09/05/7-ways-view-correlation.html