plotIndiv and PCA

[bgautier]

Maybe we should put the percentage of explained variance on the plotIndiv graph when the object is a PCA?

-- Florian

[Kim-Anh Le Cao]

Ok sounds good, thanks!

Regards,

Kim-Anh

Too brief? Apologies, I need to restrain my typing due to a computer elbow injury.

--

Dr. Kim-Anh Lê Cao

NHMRC Career Development Fellow

ResTeach Affiliate (School of Chemistry and Molecular Biosciences)

The University of Queensland Diamantina Institute

Translational Research Institute

Level 5, 37 Kent Street | Woolloongabba QLD 4102

T: [phone]| F: [phone]

http://www.tri.edu.au/staff/kim-anh-le-cao

mixOmics: http://mixomics.org/

[bgautier]

In presence of missing data (for the input data), i can only retrieve the eigenvalues on the components selected by the user. In other words, I do not know the total variance of the data and thus cannot get the explained variance per component.

[Kim-Anh Le Cao]

Yes, agreed, This explains why we have different outputs when you run a PCA-missing values (via nipals) and a normal PCA. For missing values, proceed as usual.

--

Dr. Kim-Anh Lê Cao

NHMRC Career Development Fellow

ResTeach Affiliate (School of Chemistry and Molecular Biosciences)

The University of Queensland Diamantina Institute

Translational Research Institute

Level 5, 37 Kent Street | Woolloongabba QLD 4102

T: [phone]| F: [phone]

http://www.tri.edu.au/staff/kim-anh-le-cao

mixOmics: http://mixomics.org/