print.influence_stat: Print an 'influence_stat' Class Object

Description

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

Usage

# S3 method for influence_stat
print(
  x,
  digits = 3,
  what = c("parameters", "fit_measures", "mahalanobis"),
  first = 10,
  sort_parameters_by = c("gcd", "est"),
  sort_fit_measures_by = NULL,
  sort_mahalanobis = TRUE,
  sort_fit_measures_decreasing = TRUE,
  sort_fit_measures_on_absolute = TRUE,
  sort_mahalanobis_decreasing = TRUE,
  ...
)

Value

x is returned invisibly. Called for its side effect.

Arguments

x: An 'influence_stat'-class object.
digits: The number of digits after the decimal. Default is 3.
what: A character vector of the results #' to be printed, can be one or more of the following: "parameters", "fit_measures", and "mahalanobis". Default is c("parameters", "fit_measures", "mahalanobis").
first: Numeric. If not NULL, it prints only the first k cases, k equal to first. Default is 10.
sort_parameters_by: String. If it is "est", the cases are sorted individually on each columns. If it is "gcd", the default, then cases are sorted by generalized Cook's distance or approximate generalized Cook's distance, depending on which column is available. If NULL, cases are not sorted.
sort_fit_measures_by: String. Default is NULL and the output of case influence on fit measures is not sorted. If set to a column names of case influence on fit measures , cases will sorted by these columns. The sorting is done on the absolute values if sort_fit_measures_on_absolute is TRUE, and in decreasing order if decreasing is TRUE. If decrease is FALSE, the order is increasing. If sort_fit_measures_on_absolute is FALSE, the sorting is done on the raw values.
sort_mahalanobis: Logical. If TRUE, the default, the cases in the output of Mahalanobis distance will be sorted based on Mahalanobis distance. The order is determined by sort_mahalanobis_decreasing.
sort_fit_measures_decreasing: Logical. Whether cases, if sorted on fit measures, are on decreasing order in the output of case influence on fit measures. Default is TRUE.
sort_fit_measures_on_absolute: Logical. Whether cases, if sorted on fit measures, are sorted on absolute values of fit measures. Default is TRUE. See sort_fit_measures_by.
sort_mahalanobis_decreasing: Logical. Whether cases, if sorted on Mahalanobis distance, is on decreasing order. Default is TRUE.
...: Optional arguments. Passed to other print methods, such as print.est_change(), print.fit_measures_change(), and print.md_semfindr().

Details

This method will print the output of influence_stat() in a user-friendly way. Users can select the set(s) of output, case influence on parameter estimates, case influence on fit measures, and Mahalanobis distance, to be printed. The corresponding print methods of est_change-class objects, fit_measures_change-class objects, and md_semfindr-class objects will be called.

Examples

Run this code

library(lavaan)
dat <- pa_dat
# The model
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)

# --- Leave-One-Out Approach

# Fit the model n times. Each time with one case removed.
# For illustration, do this only for selected cases.
fit_rerun <- lavaan_rerun(fit, parallel = FALSE,
                          to_rerun = 1:10)
# Get all default influence stats
out <- influence_stat(fit_rerun)
out
print(out, first = 4)
print(out, what = c("parameters", "fit_measures"))

# --- Approximate Approach

out_approx <- influence_stat(fit)
out_approx
print(out, first = 8)
print(out, what = c("parameters", "fit_measures"),
      sort_parameters_by = "est")