Open mluerig opened 1 year ago
I've got an initial version of this working https://github.com/alishinski/lavaanPlot/tree/dir, give it a spin.
model <- 'mpg ~ cyl + disp + hp
qsec ~ disp + hp + wt'
fit <- sem(model, data = mtcars)
summary(fit)
c_opts <- formatting(list(color = "yellow", penwidth = 3), list(color = "blue", penwidth = 3), type = "dir")
lavaanPlot2(fit,
graph_options = list(label = "my first graph with signficance stars"),
edge_options = c_opts)
Regressions:
Estimate Std.Err z-value
mpg ~
cyl -0.987 0.738 -1.337
disp -0.021 0.010 -2.178
hp -0.017 0.014 -1.218
qsec ~
disp -0.008 0.004 -2.122
hp -0.023 0.004 -5.229
wt 1.695 0.398 4.256
this is cool, works like a charm!
one small additional request / question: can we choose to (not) color an edge because it is not significant? e.g., have it in black
also, unrelated: can we control the size of the edge based on its effect size?
hey, great package! I'm giving the
lavaanPlot2
function a try, and I'd like to color edges based on whether the effect is significantly positive or negative, and if neither, gray. is there a way to do this?EDIT: also, right now, turnin off plotting non-significant estimates is not working? (
sig
argument)