coeff_plot: Coefficient plot for a SEM

In masurp/pmstats: Customized Functions for Statistical Computations, Result Extractions, and Reporting

Description

This function plots a classic coefficient plot for a structural equation model. More ggplot functions (e.g., theme, labs, etc.) can be passed to the resulting object.

Usage

coeff_plot(
  object,
  effect = NULL,
  labels = FALSE,
  regressions = FALSE,
  y_limits = NULL,
  y_intercept = 0
)

Arguments

object	An object of class lavaan created by using sem() from the package 'lavaan'.
effect	Vector of specific effects in the model (need to be labelled in the original model)
labels	A logical value specifying whether only effects with labels should be plotted
y_limits	Change the limits of the x-axis.
y_intercept	Defaults to a dashed vertical line at y = 0.
regression	A logical value specifying whether only regressions should be plotted

Value

A ggplot object that can be further customized using standard ggplot elements.

Examples

library(lavaan)
model <- '
  # latent variables
  ind60 =~ x1 + x2 + x3
  dem60 =~ y1 + y2 + y3 + y4
  dem65 =~ y5 + y6 + y7 + y8
  
  # regressions
  dem60 ~ a*ind60
  dem65 ~ b*ind60 + c*dem60
  
  # residual covariances
  y1 ~~ y5
  y2 ~~ y4 + y6
  y3 ~~ y7
  y4 ~~ y8
  y6 ~~ y8
'
fit <- sem(model,
data = PoliticalDemocracy)

# Creating output table
coeff_plot(fit, regression = T, y_limits = c(-1,2.5)) + theme_minimal()

masurp/pmstats documentation built on Oct. 6, 2020, 9:24 p.m.