I am working on a thesis project, and i had to run pcoa. But i had no clue as to how and your video really helped me to understand what i should do and why these steps are taken. Know that your videos are helping a lot of students out there to better understand how to perform statistical analysis and we are very gratefull!
Hey thanks so much!, It captures my attention the fact that there is lower explained variation by the two first axis in comparison with PCA analysis. For my understanding , it is more acceptable when the sum of the explained variation by the two first axis is greater than 50% in PCA. It seems like it is a tendency to get lower explained variance in PCoA isn't it ?
Thanks for this wonderful video!! If we need to extract the first two axes for analysis of microbial community composition. I was wondering which one is better: PCoA or NMDS? Really looking forward to your reply, thanks a lot!
lovely! How do you feel about PCoA vs NMDS in metabarcoding studies? I think the question of which ordination is appropriate for the given data, is one of the most common source for mistakes in modern ecology.
How is it possible to generate outliers uniformly in the p-parallelotope defined by the coordinate-wise maxima and minima of the ‘regular’ observations in R?
Don't you need to perform Bartlett sphericity test or KMO test before? What's about triangle inequality and Calliez correction for negative eigenvalues?
Thanks for watching! You’d have to have a similar matrix but where the pathways are on the rows in place of the samples or in the columns in place of the taxa. What you do depends on what you want each point to represent
