print.est_change: Print an 'est_change' Class Object

Description

Print the content of an 'est_change'-class object.

Usage

# S3 method for est_change
print(x, digits = 3, first = 10, sort_by = c("gcd", "est"), ...)

Value

x is returned invisibly. Called for its side effect.

Arguments

x: An 'est_change'-class object.
digits: The number of digits after the decimal. Default is 3.
first: Numeric. If not NULL, it prints only the first k cases, k equal to first. Default is 10.
sort_by: String. Should be "est", "gcd", or NULL. If the output was generated by est_change_raw() or est_change_raw_approx() and sort_by is not NULL, then each column is sorted individually, with case IDs inserted before each column. If the output was generated by est_change() or est_change_approx() and sort_by is not NULL, then sort_by determines how the cases are sorted. If by is "est", the cases are sorted as for the output of est_change_raw(). If by is "gcd", the default for the output of est_change() or est_change_approx(), then cases are sorted by generalized Cook's distance or approximate generalized Cook's distance, depending on which column is available.
...: Other arguments. They will be ignored.

Details

All the functions on case influence on parameter estimates, est_change(), est_change_approx(), est_change_raw(), and est_change_raw_approx(), return an est_change-class object. This method will print the output based on the type of changes and method used.

Examples

Run this code


library(lavaan)

# A path model

dat <- pa_dat
mod <-
"
m1 ~ a1 * iv1 + a2 * iv2
dv ~ b * m1
a1b := a1 * b
a2b := a2 * b
"
# Fit the model
fit <- lavaan::sem(mod, dat)
summary(fit)

# Approximate case influence
out <- est_change_approx(fit)
out
print(out, sort_by = "est")
out <- est_change_raw_approx(fit)
print(out, first = 3)

# Examine four selected cases
fit_rerun <- lavaan_rerun(fit, parallel = FALSE,
                          to_rerun = c(2, 3, 5, 7))
est_change(fit_rerun)
est_change_raw(fit_rerun)