NFActor | An Open Source Implementation of the Actor Model in C

I'm new here, and still learning how to properly use R, but I find myself in the need of some expert help. I am currently using the package EFA.dimensions to do my PCA. For this purpose, my script looks like this:

I am working on EFA and would like to customize my tables. There is a function, psych.print to suppress factor loadings of a certain value to make the table easier to read. When I run this function, it produces this data and the summary stats in the console (in an .RMD document, it produces console text and a separate data frame of the factor loadings with loadings suppressed). However, if I attempt to save this as an object, it does not keep this data.

Here is an example:

To test it can be used the mtcars which have non-parametric distribution. I am developing a factor analysis. My data is non-parametric in nature. Therefore, according to the literature, it is recommended to apply the Spearman test. I'm using fuction:

I can't figure out how to selectively print values in a table above or below some value. What I'm looking for is known as "cut" in Revelle's psych package. MWE below.

I've run a principal components analysis. The output pca1$loadings looks like a dataframe, but it's not. Is there a way to turn this into a dataframe?

I'd like to be able to sort the columns of the output. It would also be nice if I could use the output in Excel.

This is the code I used to generate the PCA.