lavaan_var {lavaanExtra} | R Documentation |
Extract relevant variance indices from lavaan model
Description
Extract relevant variance indices from lavaan
model through lavaan::parameterEstimates (when estimate = "sigma",
est
column)) or lavaan::standardizedsolution (when estimate = "r2",
est.std
column). R2 values are then calculated as 1 - est.std
, and
the new p values for the R2, with the following formula:
stats::pnorm((1 - est) / se)
.
Usage
lavaan_var(fit, estimate = "r2", nice_table = FALSE, ...)
Arguments
fit |
lavaan fit object to extract covariance indices from |
estimate |
What estimate to use, either the standardized estimate ("r2", default), or unstandardized estimate ("sigma2"). |
nice_table |
Logical, whether to print the table as a rempsyc::nice_table as well as print the reference values at the bottom of the table. |
... |
Arguments to be passed to rempsyc::nice_table |
Value
A dataframe of covariances/correlation, including the covaried variables, the covariance/correlation, and corresponding p-value.
Examples
x <- paste0("x", 1:9)
(latent <- list(
visual = x[1:3],
textual = x[4:6],
speed = x[7:9]
))
(regression <- list(
ageyr = c("visual", "textual", "speed"),
grade = c("visual", "textual", "speed")
))
(covariance <- list(speed = "textual", ageyr = "grade"))
HS.model <- write_lavaan(
regression = regression, covariance = covariance,
latent = latent, label = TRUE
)
cat(HS.model)
library(lavaan)
fit <- sem(HS.model, data = HolzingerSwineford1939)
lavaan_var(fit)