semhelpinghands (version 0.1.10)

filter_by: Filter a Parameter Estimates Table

Description

Filter parameter estimates table and similar tables inlavaan by common fields such as op (operator).

Usage

filter_by(object, op = NULL, lhs = NULL, rhs = NULL, group = NULL, fit = NULL)

Value

The filtered version of the input object.

Arguments

object

The output of lavaan::parameterEstimates(), lavaan::standardizedSolution(), or a lavaan.data.frame object. May also work on an est_table-class object returned by functions like group_by_dvs() but there is no guarantee.

op

A character vector of the operators (op) for filtering. Common operators are "~", "~~", "=~", ":=", and "~1".

lhs

A character vector of names in the lhs column.

rhs

A character vector of names in the rhs column.

group

A vector of either the group numbers in the group column of the labels of the groups. If labels are supplied, the original fit object must be supplied for extracting the group labels.

fit

The original fit object. Usd when group is a vector of the group labels.

Author

Shu Fai Cheung https://orcid.org/0000-0002-9871-9448

Details

This functions accepts the output of lavaan::parameterEstimates() and lavaan::standardizedSolution() and filter the rows by commonly used field.

Examples

library(lavaan)
set.seed(5478374)
n <- 50
x <- runif(n) - .5
m <- .40 * x + rnorm(n, 0, sqrt(1 - .40))
y <- .30 * m + rnorm(n, 0, sqrt(1 - .30))
dat <- data.frame(x = x, y = y, m = m)
model <-
'
m ~ a*x
y ~ b*m
ab := a*b
'
fit <- sem(model, data = dat, fixed.x = FALSE)

model_gp <-
'
m ~ c(a1, a2)*x
y ~ c(b1, b2)*m
a1b1 := a1*b1
a2b2 := a2*b2
'
dat$gp <- sample(c("gp1", "gp2"), n, replace = TRUE)
fit_gp <- sem(model_gp, dat, group = "gp", warn = FALSE)

est <- parameterEstimates(fit)
est_gp <- parameterEstimates(fit_gp)

filter_by(est, op = "~")

filter_by(est, op = "~", lhs = "y")

filter_by(est, rhs = c("m", "x"), op = "~")

filter_by(est_gp, group = 2)

# If the fit object is supplied, can filter
# by group label
filter_by(est_gp, group = "gp2", fit = fit_gp)
filter_by(est_gp, group = "gp2", fit = fit_gp, op = "~")

# Select user-defined parameters
filter_by(est_gp, op = ":=")

# Can be used with some other functions in semhelpinghands
# Piping can also be used
est_gp |> filter_by(op = "~", group = "gp2", fit = fit_gp) |>
          add_sig()