
Last chance! 50% off unlimited learning
Sale ends in
This is a method for returning the coefficients of an mplus.model object.
It works directly on an object stored from readModels
such as:
object <- readModels("/path/to/model/model.out")
.
Method that calls coef.mplus.model
.
See further documentation there.
# S3 method for mplus.model
coef(
object,
type = c("un", "std", "stdy", "stdyx"),
params = c("regression", "loading", "undirected", "expectation", "variability",
"new"),
...,
raw = FALSE
)# S3 method for mplusObject
coef(object, ...)
An object of class mplusObject
A character vector indicating the type of coefficients to return. One of “un”, “std”, “stdy”, or “stdyx”.
A character vector indicating what type of parameters to extract. Any combination of “regression”, “loading”, “undirected”, “expectation”, “variability”, and “new”. A single one can be passed or multiple. By default, all are used and all parameters are returned.
Additional arguments to pass on (not currently used)
A logical defaulting to FALSE
indicating whether to
parse and return coefficients based on the type (regression, etc.) and
relabel using an arrow notation, or to return the raw coefficients in a named
vector.
Either a data frame of class ‘mplus.model.coefs’, or in
the case of multiple group models, a list of class ‘mplus.model.coefs’,
where each element of the list is a data frame of class ‘mplus.model.coefs’,
or a named vector of coefficients, if raw=TRUE
.
Other Mplus-Formatting:
confint.mplus.model()
,
extract()
,
print.MplusRstructure()
,
summary.mplusObject()
# NOT RUN {
# simple example of a model using builtin data
# demonstrates use
test <- mplusObject(
TITLE = "test the MplusAutomation Package;",
MODEL = "
mpg ON wt hp;
wt WITH hp;",
OUTPUT = "STANDARDIZED;",
usevariables = c("mpg", "wt", "hp"),
rdata = mtcars)
res <- mplusModeler(test, "mtcars.dat", modelout = "model1.inp", run = 1L)
# example of the coef method on an mplud.model object
# note that res$results holds the results of readModels()
coef(res$results)
coef(res$results, type = "std")
coef(res$results, type = "stdy")
coef(res$results, type = "stdyx")
# there is also a method for mplusObject class
coef(res)
# remove files
unlink("mtcars.dat")
unlink("model1.inp")
unlink("model1.out")
unlink("Mplus Run Models.log")
# }
Run the code above in your browser using DataLab