Hi guys,
I would like to know more about the applicatibility of PCA (Principal Component Analysis) in the Pharma industry.
I have experience using it in biophysics using MATLAB and I would like to start understanding the applicability of
using this method in SAS.
I know that not always the two reduce-dimensions of maximal variance obtaining with PCA, give you the maximal information of the problem,
but it is a powerful method in multivariate analysis.
Some refferences to books, examples or some papers could help too.
Thanks.
V.
Hi, you might want to post this question in either the STAT forum or the Clinical Trial forum:
https://communities.sas.com/community/sas_statistical_procedures
https://communities.sas.com/community/sas_and_clinical_trials
I do know that PROC PRINCOMP does Principal Component Analysis and that's about all I know. Folks in the other forums may have better insights.
cynthia
Hi, you might want to post this question in either the STAT forum or the Clinical Trial forum:
https://communities.sas.com/community/sas_statistical_procedures
https://communities.sas.com/community/sas_and_clinical_trials
I do know that PROC PRINCOMP does Principal Component Analysis and that's about all I know. Folks in the other forums may have better insights.
cynthia
As Cynthia said .STAT forum is your better place to find answer.
You should choose the eigenvetor whose eigenvalue is great than 1,
Maybe you can get two or three eigenvetor, it is dependent on your correlative matrix.
Ksharp
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