getmatrix: Extract an estimated matrix

In SachaEpskamp/psychonetrics: Structural Equation Modeling and Confirmatory Network Analysis

Extract an estimated matrix

Description

This function will extract an estimated matrix, and will either return a single matrix for single group models or a list of such matrices for multiple group models.

Usage

getmatrix(x, matrix, group, threshold = FALSE, alpha = 0.01,
           adjust = c("none", "holm", "hochberg", "hommel",
           "bonferroni", "BH", "BY", "fdr"), mode = c("tested",
           "all"), diag = TRUE)

Arguments

x	A psychonetrics model.
matrix	String indicating the matrix to be extracted.
group	Integer indicating the group for the matrix to be extracted.
threshold	Logical. Should the matrix be thresholded (non-significant values set to zero? Can also be a value with an absolute threshold below wich parameters are set to zero.)
alpha	Significance level to use.
adjust	p-value adjustment method to use. See p.adjust.
mode	Mode for adjusting for multiple comparisons. Should all parameters be considered as the total number of tests or only the tested parameters (parameters of interest)?
diag	Set to FALSE to set diagonal elements to zero.

Value

A matrix of parameter estimates, of a list of such matrices for multiple group models.

Author(s)

Sacha Epskamp

Examples

# Load bfi data from psych package:
library("psychTools")
data(bfi)

# Also load dplyr for the pipe operator:
library("dplyr")

# Let's take the agreeableness items, and gender:
ConsData <- bfi %>% 
  select(A1:A5, gender) %>% 
  na.omit # Let's remove missingness (otherwise use Estimator = "FIML)

# Define variables:
vars <- names(ConsData)[1:5]

# Let's fit a full GGM:
mod <- ggm(ConsData, vars = vars, omega = "full")

# Run model:
mod <- mod %>% runmodel

# Obtain network:
mod %>% getmatrix("omega")

SachaEpskamp/psychonetrics documentation built on Sept. 1, 2023, 3:40 a.m.