Tidy a(n) lavaan object
Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
## S3 method for class 'lavaan' tidy(x, conf.int = FALSE, conf.level = 0.95, ...)
x |
A |
conf.int |
Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to |
conf.level |
The confidence level to use for the confidence interval
if |
... |
Additional arguments passed to |
A tibble::tibble() with one row for each estimated parameter and
columns:
term |
The result of paste(lhs, op, rhs) |
op |
The operator in the model syntax (e.g. |
group |
The group (if specified) in the lavaan model |
estimate |
The parameter estimate (may be standardized) |
std.error |
|
statistic |
The z value returned by |
p.value |
|
conf.low |
|
conf.high |
|
std.lv |
Standardized estimates based on the variances of the (continuous) latent variables only |
std.all |
Standardized estimates based on both the variances of both (continuous) observed and latent variables. |
std.nox |
Standardized estimates based on both the variances of both (continuous) observed and latent variables, but not the variances of exogenous covariates. |
Other lavaan tidiers:
glance.lavaan()
if (requireNamespace("lavaan", quietly = TRUE)) {
## Not run:
library(lavaan)
cfa.fit <- cfa("F =~ x1 + x2 + x3 + x4 + x5 + x6 + x7 + x8 + x9",
data = HolzingerSwineford1939, group = "school"
)
tidy(cfa.fit)
## End(Not run)
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