I would like to replicate this result with the white space between each component (no scores off-diagonal) to easily show which items belong to each component. My issue with my R output is that it is difficult to tell which items belong to each component. Is there a way to easily replicate the white space like in the image below?
Below is the result I get back from R.
Here is the R code I wrote
Here is the SPSS code to get the result in the Rotated Component Matrix image.
FACTOR /VARIABLES Car01 Car02 Car03 Car04 Car05 Car06 Car07 Car08 Conf01 Conf02 Conf03 Conf05 Conf06 Comp01 Comp02 Comp03 Comp04 Tou01 Tou02 Tou03 Tou04 Tou05 Succ01 Succ02 Succ03 Succ04 Succ05 Succ06 Succ07 /MISSING PAIRWISE /PRINT INITIAL EXTRACTION ROTATION /FORMAT SORT BLANK(.3) /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /ROTATION VARIMAX /METHOD=CORRELATION.
Here is the R code I wrote
library("psych") rotatedMatrixCareer <- principal(ambition, nfactors = 6, rotate = "varimax", scores = TRUE, method = "correlation", use = "pairwise")
I have read through this StackOverflow post, Reproducing SPSS factor analysis with R and Replicating results of SPSS PCA with Equamax rotation in R, but was unable to create the same visual SPSS produces (no scores off-diagonal) with the rotated component matrix.