cSEM (version 0.6.0)

plot.cSEMResults_default: cSEMResults method for plot()

Description

lifecycle::badge("experimental")

Usage

# S3 method for cSEMResults_default
plot(
  x = NULL,
  .title = args_default()$.title,
  .plot_significances = args_default()$.plot_significances,
  .plot_correlations = args_default()$.plot_correlations,
  .plot_structural_model_only = args_default()$.plot_structural_model_only,
  .plot_labels = args_default()$.plot_labels,
  .graph_attrs = args_default()$.graph_attrs,
  ...
)

Arguments

x

An R object of class cSEMResults_default object.

.title

Character string. Title of an object. Defaults to "".

.plot_significances

Logical. Should p-values in the form of stars be plotted? Defaults to TRUE.

.plot_correlations

Character string. Specify which correlations should be plotted, i.e., between the exogenous constructs (exo), between the exogenous constructs and the indicators (all), or not at all (none). Defaults to exo.

.plot_structural_model_only

Logical. Should only the structural model, i.e., the constructs and their relationships be plotted? Defaults to FALSE.

.plot_labels

Logical. Whether to display edge labels and R² values in the nodes. Defaults to TRUE (i.e. original plot).

.graph_attrs

Character string. Additional attributes that should be passed to the DiagrammeR syntax, e.g., c("rankdir=LR", "ranksep=1.0"). Defaults to c("rankdir=LR").

...

Currently ignored.

Details

Creates a plot of a cSEMResults object using the grViz function. For more details on customizing plot, see https://rpubs.com/nguyen_mot/1275413.

See Also

savePlot() csem(), cSEMResults, grViz

Examples

if (FALSE) {
model_Bergami_int="
  # Common factor and composite models
  OrgPres <~ cei1 + cei2 + cei3 + cei4 + cei5 + cei6 + cei7 + cei8 
  OrgIden =~ ma1 + ma2 + ma3 + ma4 + ma5 + ma6
  AffJoy =~ orgcmt1 + orgcmt2 + orgcmt3 + orgcmt7
  AffLove  =~ orgcmt5 + orgcmt6 + orgcmt8

  # Structural model 
  OrgIden ~ OrgPres 
  AffLove ~ OrgPres+OrgIden+OrgPres.OrgIden
  AffJoy  ~ OrgPres+OrgIden
  "
  
  outBergamiInt <- csem(.data = BergamiBagozzi2000,.model = model_Bergami_int,
                        .disattenuate = T,
                        .PLS_weight_scheme_inner = 'factorial',
                        .tolerance = 1e-6,
                        .resample_method = 'none')
  
  outPlot <- plot(outBergamiInt)
  outPlot
  savePlot(outPlot,.file='plot.pdf')
  savePlot(outPlot,.file='plot.png')
  savePlot(outPlot,.file='plot.svg')
  savePlot(outPlot,.file='plot.dot')
}