How can I extract factor loadings from lavaan?

Question

How can I get a table with all of the latent factors and the loading of each measurement item on all factors? I can't seem to find a way to pull this out of a fit lavaan model. Here is the general code I'm using to generate the model fit.

library(lavaan)
fit <- sem(mySemModel, data=df, std.ov=TRUE, std.lv=TRUE)
summary(fit, fit.measures=TRUE, rsq=TRUE, standardized=TRUE)

I'm looking for the same kind of output that you'd get from an EFA. For example, if I ran the code:

library(psych)
myFA <- fa(tpblatentData, 2)
print(myFA)

I would get something like this:

               PA1   PA2
Qitem1              0.74
Qitem2              0.82
Qitem3              0.87
Qitem4        0.98      
Qitem5        0.94      
Qitem6        0.89      

Answer 1

You can get the standardized loadings of the model in matrix form by using the inspect function from the lavaan package. The following code will return the lambda (factor loadings), theta (observed error covariance matrix), psi (latent covariance matrix), and beta (latent paths) matrices.

inspect(fit,what="std")

It appears from your example that you are looking for the factor loadings, which are in the lambda matrix:

inspect(fit,what="std")$lambda

In like manner, you can extract unstandardized parameters by specifying "est" instead of "std".