plot.netSEMp2 {netSEM} | R Documentation |
Plot netSEMp2 result plot.netSEMp2 plots a network structural equation model diagram, fitted under principle 2, based on best functional form for each selected pairwise variable.
## S3 method for class 'netSEMp2'
plot(
x,
cutoff = c(0.3, 0.6, 0.8),
latent = NULL,
plot.save = FALSE,
filename = NULL,
style = TRUE,
...
)
x |
An object of class "netSEMp2", the returned list from |
cutoff |
A threshold value for adjusted R-squared. The maximum number of cutoff is 3. |
latent |
The latent variable that corresponds to the mechanic variable. The default is NULL. |
plot.save |
True/False, it saves the network diagram plot as png file. The default is false. |
filename |
A character string naming a file to save as a png file. |
style |
True/False, it plots the first interval in the network diagram with dotted weak line. The default is True. |
... |
A S3 generic/method consistency. |
An html style plot of multiple regression relationship pathway diagram between exogenous variables and an endogenous variable. Arrows show relationships between each variable with given statistical relations along the connection lines.
## Not run:
# Load acrylic data set
data(acrylic)
# Build a netSEMp2 model
ans2 <- netSEMp2(acrylic, criterion = "AIC")
ans2_BIC <- netSEMp2(acrylic, criterion = "BIC")
# Plot the network model
plot(ans2, cutoff = c(0.3,0.6,0.8))
plot(ans2_BIC , cutoff = c(0.3,0.6,0.8))
# Drop Relationship lower than minimum cutoff
plot(ans2, cutoff = c(0.3,0.6,0.8), style = FALSE)
# plot network model with latent argument labels
plot(ans2, cutoff = c(0.3, 0.6, 0.8),
latent = c('IAD1' = 'FundAbsEdge',
'IAD2' = 'UVStab',
'IAD2p' = 'UVStab',
'IAD3' = 'YelMet'))
# plot the network diagram and save file
#plot(ans, cutoff = c(0.3,0.6,0.8), plot.save = TRUE, filename = "acrylic-netSEMp2"))
## End(Not run)