PCA with SAS Miner

NicolasC — Tue, 24 Apr 2018 10:56:13 GMT

I have a question regarding PCA with the Principal Component Node in SAS Miner. Does the node transform categorical variables into dummy variables or is that a step I should perform prior this node (with the Transform Variable Node)?

Also, once this node get all its interval variables and ready to perform the analysis, does it perform standardization on these interval variables?

And last question, how does it handle missing values?

Many thanks.

Nicolas

Re: PCA with SAS Miner

WendyCzika — Tue, 24 Apr 2018 20:13:06 GMT

If you are using the Principal Components node from the Modify tab, then in order to include class inputs, you would need to dummy encode them using the Transform Variables node first as you said. In the HP Principal Components node however, there is a property for it to do the class level encoding for you. In both nodes, you can set the Eigenvalue Source to Correlation to standardize the inputs. And also in both, any observations with missing values for any of the inputs are excluded, so you would need to first run the Impute node to impute missing values.

topic PCA with SAS Miner in SAS Data Science

PCA with SAS Miner

Re: PCA with SAS Miner