plot_lcsm | R Documentation |
Note that the following three arguments are needed to create a plot (see below for more details):
lavaan_object
: the lavaan fit object needs to be specified together with a
lcsm
: a string indicating whether the latent change score model is "univariate" or "bivariate", and
lavaan_syntax
: a separate object with the lavaan syntax as a string
plot_lcsm( lavaan_object, layout = NULL, lavaan_syntax = NULL, return_layout_from_lavaan_syntax = FALSE, lcsm = c("univariate", "bivariate"), lcsm_colours = FALSE, curve_covar = 0.5, what = "path", whatLabels = "est", edge.width = 1, node.width = 1, border.width = 1, fixedStyle = 1, freeStyle = 1, residuals = FALSE, label.scale = FALSE, sizeMan = 3, sizeLat = 5, intercepts = FALSE, fade = FALSE, nCharNodes = 0, nCharEdges = 0, edge.label.cex = 0.5, ... )
lavaan_object |
lavaan object of a univariate or bivariate latent change score model. |
layout |
Matrix, specifying number and location of manifest and latent variables of LCS model specified in |
lavaan_syntax |
String, lavaan syntax of the lavaan object specified in |
return_layout_from_lavaan_syntax |
Logical, if TRUE and |
lcsm |
String, specifying whether lavaan_object represent a "univariate" or "bivariate" LCS model. |
lcsm_colours |
Logical, if TRUE the following colours will be used to highlight different parts of the model: Observed variables (White); Latent true scores (Green); Latent change scores (Blue) ; Change factors (Yellow). |
curve_covar |
See semPaths. |
what |
See |
whatLabels |
See semPaths. "label" to show edge names as label, "est" for parameter estimates, "hide" to hide edge labels. |
edge.width |
See semPaths. |
node.width |
See semPaths. |
border.width |
See semPaths. |
fixedStyle |
See semPaths. |
freeStyle |
See semPaths. |
residuals |
See semPaths. |
label.scale |
See semPaths. |
sizeMan |
See semPaths. |
sizeLat |
See semPaths. |
intercepts |
See semPaths. |
fade |
See semPaths. |
nCharNodes |
See semPaths. |
nCharEdges |
See semPaths. |
edge.label.cex |
See semPaths. |
... |
Other arguments passed on to semPaths. |
Plot
Sacha Epskamp (2019). semPlot: Path Diagrams and Visual Analysis of Various SEM Packages' Output. R package version 1.1.1. https://CRAN.R-project.org/package=semPlot/
# Simplified plot of univariate lcsm lavaan_syntax_uni <- fit_uni_lcsm( data = data_bi_lcsm, var = c("x1", "x2", "x3", "x4", "x5"), model = list( alpha_constant = TRUE, beta = TRUE, phi = TRUE ), return_lavaan_syntax = TRUE, return_lavaan_syntax_string = TRUE ) lavaan_object_uni <- fit_uni_lcsm( data = data_bi_lcsm, var = c("x1", "x2", "x3", "x4", "x5"), model = list( alpha_constant = TRUE, beta = TRUE, phi = TRUE ) ) plot_lcsm( lavaan_object = lavaan_object_uni, what = "cons", whatLabels = "invisible", lavaan_syntax = lavaan_syntax_uni, lcsm = "univariate" ) ## Not run: # Simplified plot of bivariate lcsm lavaan_syntax_bi <- fit_bi_lcsm( data = data_bi_lcsm, var_x = c("x1", "x2", "x3", "x4", "x5"), var_y = c("y1", "y2", "y3", "y4", "y5"), model_x = list( alpha_constant = TRUE, beta = TRUE, phi = TRUE ), model_y = list( alpha_constant = TRUE, beta = TRUE, phi = TRUE ), coupling = list( delta_lag_xy = TRUE, delta_lag_yx = TRUE ), return_lavaan_syntax = TRUE, return_lavaan_syntax_string = TRUE ) lavaan_object_bi <- fit_bi_lcsm( data = data_bi_lcsm, var_x = c("x1", "x2", "x3", "x4", "x5"), var_y = c("y1", "y2", "y3", "y4", "y5"), model_x = list( alpha_constant = TRUE, beta = TRUE, phi = TRUE ), model_y = list( alpha_constant = TRUE, beta = TRUE, phi = TRUE ), coupling = list( delta_lag_xy = TRUE, delta_lag_yx = TRUE ) ) plot_lcsm( lavaan_object = lavaan_object_bi, what = "cons", whatLabels = "invisible", lavaan_syntax = lavaan_syntax_bi, lcsm = "bivariate" ) ## End(Not run)
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