cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • Learn how to build custom Python data connectors and further customize JMP’s Data Connector Framework with the Python Data Connector Demo, available now in the JMP Marketplace!
  • See how to create experiments to support product design and ID useful product features. Register for June 12 webinar, 2pm US Eastern Time.

Discussions

Solve problems, and share tips and tricks with other JMP users.
Choose Language Hide Translation Bar
NMR
NMR
Level I

Rows inclusion in PCA

Hello,

 

I am running a PCA on an NMR dataset that contains some missing values. This isn't due to an error—it's simply the nature of the data, as some samples do not show certain peaks. 

I have noticed that when I include these parameters Y variables in the PCA and color the score plot by sample, some samples are missing entirely from the plot. It's not consistent—some samples with missing values are included, and others are not.

 

Has anyone experienced something similar? Why would certain samples be excluded from the PCA score plot even though missing data is present in other samples that are included? Is there any way to control which samples are included? 

 

Thanks in advance for any insights!

 

0 REPLIES 0

Recommended Articles