Plot path diagram
Plot the path diagram of a SEM
## S3 method for class 'lvm' plot( x, diag = FALSE, cor = TRUE, labels = FALSE, intercept = FALSE, addcolor = TRUE, plain = FALSE, cex, fontsize1 = 10, noplot = FALSE, graph = list(rankdir = "BT"), attrs = list(graph = graph), unexpr = FALSE, addstyle = TRUE, plot.engine = lava.options()$plot.engine, init = TRUE, layout = lava.options()$layout, edgecolor = lava.options()$edgecolor, graph.proc = lava.options()$graph.proc, ... )
x |
Model object |
diag |
Logical argument indicating whether to visualize variance parameters (i.e. diagonal of variance matrix) |
cor |
Logical argument indicating whether to visualize correlation parameters |
labels |
Logical argument indiciating whether to add labels to plot (Unnamed parameters will be labeled p1,p2,...) |
intercept |
Logical argument indiciating whether to add intercept labels |
addcolor |
Logical argument indiciating whether to add colors
to plot (overrides |
plain |
if TRUE strip plot of colors and boxes |
cex |
Fontsize of node labels |
fontsize1 |
Fontsize of edge labels |
noplot |
if TRUE then return |
graph |
Graph attributes (Rgraphviz) |
attrs |
Attributes (Rgraphviz) |
unexpr |
if TRUE remove expressions from labels |
addstyle |
Logical argument indicating whether additional style should automatically be added to the plot (e.g. dashed lines to double-headed arrows) |
plot.engine |
default 'Rgraphviz' if available, otherwise visNetwork,igraph |
init |
Reinitialize graph (for internal use) |
layout |
Graph layout (see Rgraphviz or igraph manual) |
edgecolor |
if TRUE plot style with colored edges |
graph.proc |
Function that post-process the graph object (default: subscripts are automatically added to labels of the nodes) |
... |
Additional arguments to be passed to the low level functions |
Klaus K. Holst
if (interactive()) { m <- lvm(c(y1,y2) ~ eta) regression(m) <- eta ~ z+x2 regression(m) <- c(eta,z) ~ x1 latent(m) <- ~eta labels(m) <- c(y1=expression(y[scriptscriptstyle(1)]), y2=expression(y[scriptscriptstyle(2)]), x1=expression(x[scriptscriptstyle(1)]), x2=expression(x[scriptscriptstyle(2)]), eta=expression(eta)) edgelabels(m, eta ~ z+x1+x2, cex=2, lwd=3, col=c("orange","lightblue","lightblue")) <- expression(rho,phi,psi) nodecolor(m, vars(m), border="white", labcol="darkblue") <- NA nodecolor(m, ~y1+y2+z, labcol=c("white","white","black")) <- NA plot(m,cex=1.5) d <- sim(m,100) e <- estimate(m,d) plot(e) m <- lvm(c(y1,y2) ~ eta) regression(m) <- eta ~ z+x2 regression(m) <- c(eta,z) ~ x1 latent(m) <- ~eta plot(lava:::beautify(m,edgecol=FALSE)) }
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