How can I extract factor loadings from lavaan?
r, r-lavaan
Solution
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".
Problem
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 ```