Performing a PCA on multiple datasets

[Marie1]

Hello,

I have a question about performing a PCA on multiple datasets in RStudio.
I have uploaded 6 datasets (landmark coordinates of a wrist bone of 6 different primate species). The landmark coordinates were placed on the bones with landmark editor; the coordinates were saved as a .dta file and I uploaded these in R.
First, I tested the "gpagen" (for procrustes alignment) and "plotTangentSpace" (for PCA) functions with one dataset (e.g. macaque), and this works fine. I have a nice PCA-plot of the first 2 axes for the macaque dataset.

However, this is just one species; and I would like to do a PCA analysis on all 6 datasets (have them all in 1 plot).
I know there is a function called "merge", but I don't think I specifically need to merge the datasets (I tried it and the outline changes ...).
The function "readmulti.nts(filelist)" could be a possibility, but I don't know how to arrange such a 'filelist'.

Can someone help me with this?

Thank you!

Marie.

[andresrcs]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…