It extracts the terms
object from an lm_from_lavaan
-class
object.
Usage
# S3 method for class 'lm_from_lavaan'
terms(x, ...)
Value
A terms
-class object. See
terms.object for details.
Details
A method for
lm_from_lavaan
-class that converts
a regression model for a variable in
a lavaan
model to a formula
object. This function simply calls
stats::terms()
on the formula
object to extract the predictors of a
variable.
Examples
library(lavaan)
data(data_med)
mod <-
"
m ~ a * x + c1 + c2
y ~ b * m + x + c1 + c2
"
fit <- sem(mod, data_med, fixed.x = FALSE)
fit_list <- lm_from_lavaan_list(fit)
terms(fit_list$m)
#> m ~ x + c1 + c2
#> attr(,"variables")
#> list(m, x, c1, c2)
#> attr(,"factors")
#> x c1 c2
#> m 0 0 0
#> x 1 0 0
#> c1 0 1 0
#> c2 0 0 1
#> attr(,"term.labels")
#> [1] "x" "c1" "c2"
#> attr(,"order")
#> [1] 1 1 1
#> attr(,"intercept")
#> [1] 1
#> attr(,"response")
#> [1] 1
#> attr(,".Environment")
#> <environment: 0x55b911769ad0>
terms(fit_list$y)
#> y ~ m + x + c1 + c2
#> attr(,"variables")
#> list(y, m, x, c1, c2)
#> attr(,"factors")
#> m x c1 c2
#> y 0 0 0 0
#> m 1 0 0 0
#> x 0 1 0 0
#> c1 0 0 1 0
#> c2 0 0 0 1
#> attr(,"term.labels")
#> [1] "m" "x" "c1" "c2"
#> attr(,"order")
#> [1] 1 1 1 1
#> attr(,"intercept")
#> [1] 1
#> attr(,"response")
#> [1] 1
#> attr(,".Environment")
#> <environment: 0x55b91176c950>