When I use the principal function, like in the following code, I get a nice table which gives all the standardized loadings, as well as a table with the eigenvalues and the proportion and cumulative proportion explained.
rotatedpca <- principal(PCFdataset, nfactors = 8, rotate = "varimax", scores = T)
I would like to export this output to an excel file (using WriteXLS), but I can only do that for dataframes, and rotatedpca is not a dataframe and cannot be coerced into one it seems. I am able to extract the standardized loadings by using the following code:
But I cannot figure out how to access the other information that normally displays when I simply call the principal function, in particular the eigenvalues and the proportion and cumulative variance explained. I tried rotatedcpa$values, but that returns what looks like the eigenvalues for all 12 original variables as factors without rotation, which I don't understand. And I haven't been able to figure out any way to even try to extract the variance explained values. How can I simply create a dataframe that looks like the R output I get below from the principal function, for example?
RC2 RC3 RC8 RC1 RC4 RC5 RC6 RC7
SS loadings 1.52 1.50 1.45 1.44 1.01 1.00 0.99 0.98
Proportion Var 0.13 0.12 0.12 0.12 0.08 0.08 0.08 0.08
Cumulative Var 0.13 0.25 0.37 0.49 0.58 0.66 0.74 0.82
Proportion Explained 0.15 0.15 0.15 0.15 0.10 0.10 0.10 0.10
Cumulative Proportion 0.15 0.31 0.45 0.60 0.70 0.80 0.90 1.00
Thanks for reading my post!
I have just added this feature to the latest (as of today) release of psych 18.104.22.168. If you either
f3 <- fa(Thurstone,3) #or p3 <- principal(Thurstone,3) #then p <- print(f3) p # will give you p $Vaccounted MR1 MR2 MR3 SS loadings 2.6411150 1.8621522 1.4951831 Proportion Var 0.2934572 0.2069058 0.1661315 Cumulative Var 0.2934572 0.5003630 0.6664945 Proportion Explained 0.4402995 0.3104389 0.2492616 Proportion 0.4402995 0.7507384 1.0000000
In general, if you have suggestions or questions re the psych package, you will get a faster answer if you contact me directly.
Why not this:
capture.output( print(rotatedpca), file="pc.txt")
You can read desired portions into Excel using its
Text to Columns... function off the /Data menu. Or you can just paste it into an open blank Excel document and select the rows you want to convert. Use the "fixed" option that will probably be offered automagically.