Description Usage Arguments Note Author(s) References See Also Examples
It plots the models from either the lavaan model or
meta
and wls
objects.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29  ## S3 method for class 'meta'
plot(x, effect.sizes, add.margin = 0.1, interval = 0.95,
main= "Effect Sizes and their Confidence Ellipses",
axis.labels= paste("Effect size ", effect.sizes, sep = ""),
study.col = "black", study.pch = 19, study.min.cex = 0.8,
study.weight.plot = FALSE, study.ellipse.plot = TRUE,
study.ellipse.col = "black", study.ellipse.lty = 2,
study.ellipse.lwd = 0.5, estimate.col = "blue",
estimate.pch = 18, estimate.cex = 2,
estimate.ellipse.plot = TRUE, estimate.ellipse.col = "red",
estimate.ellipse.lty = 1, estimate.ellipse.lwd = 2,
randeff.ellipse.plot = TRUE, randeff.ellipse.col = "green",
randeff.ellipse.lty = 1, randeff.ellipse.lwd = 2,
univariate.plot = TRUE, univariate.lines.col = "gray",
univariate.lines.lty = 3, univariate.lines.lwd = 1,
univariate.polygon.width = 0.02,
univariate.polygon.col = "red",
univariate.arrows.col = "green", univariate.arrows.lwd = 2,
diag.panel = FALSE, xlim=NULL, ylim=NULL, ...)
## S3 method for class 'character'
plot(x, fixed.x=FALSE, nCharNodes=0, nCharEdges=0,
layout=c("tree", "circle", "spring", "tree2", "circle2"),
sizeMan=8, sizeLat=8, edge.label.cex=1.3, color="white", ...)
## S3 method for class 'wls'
plot(x, manNames=NULL, latNames=NULL, labels=c("labels", "RAM"),
what="est", nCharNodes=0, nCharEdges=0,
layout=c("tree", "circle", "spring", "tree2", "circle2"),
sizeMan=8, sizeLat=8, edge.label.cex=1.3, color="white",
weighted=FALSE, ...)

x 
An object returned from either a lavaan model class

effect.sizes 
Numeric values indicating which effect sizes to
be plotted. At least two effect sizes are required. To plot the effect sizes of y1 and
y2, one may use 
add.margin 
Value for additional margins on the left and bottom margins. 
interval 
Interval for the confidence ellipses. 
main 
Main title of each plot. If there are multiple plots, a vector of character titles may be used. 
axis.labels 
Labels for the effect sizes. 
study.col 
The color for individual studies. See 
study.pch 
Plotting character of individual studies. See 
study.min.cex 
The minimum value of cex for individual
studies. See 
study.weight.plot 
Logical. If 
study.ellipse.plot 
Logical. If 
study.ellipse.col 
The color of the confidence ellipses of
individual studies. See 
study.ellipse.lty 
The line type of the confidence ellipse of
individual studies. See 
study.ellipse.lwd 
The line width of the confidence ellipse of
individual studies. See 
estimate.col 
The color of the estimated effect size. See 
estimate.pch 
Plotting character of the estimated effect sizes. See 
estimate.cex 
The amount of plotting of the estimated effect sizes. See 
estimate.ellipse.plot 
Logical. If 
estimate.ellipse.col 
The color of the confidence
ellipse of the estimated effect sizes. See 
estimate.ellipse.lty 
The line type of the confidence
ellipse of the estimated effect sizes. See 
estimate.ellipse.lwd 
The line width of the confidence
ellipse of the estimated effect sizes. See 
randeff.ellipse.plot 
Logical. If 
randeff.ellipse.col 
Color of the confidence
ellipses of the random effects. See 
randeff.ellipse.lty 
The line type of the confidence
ellipses of the random effects. See 
randeff.ellipse.lwd 
The line width of the confidence
ellipses of the random effects. See 
univariate.plot 
Logical. If 
univariate.lines.col 
The color of the estimated univariate effect
sizes. See 
univariate.lines.lty 
The line type of the estimated univariate effect
sizes. See 
univariate.lines.lwd 
The line width of the estimated univariate effect
sizes. See 
univariate.polygon.width 
The width of the polygon of the estimated univariate effect sizes. 
univariate.polygon.col 
The color of the polygon of the estimated univariate effect sizes. 
univariate.arrows.col 
The color of the arrows of the estimated univariate effect sizes. 
univariate.arrows.lwd 
The line width of the arrows of the estimated univariate effect sizes. 
diag.panel 
Logical. If 
xlim 
NULL or a numeric vector of length 2; if it is NULL, it provides defaults estimated from the data. 
ylim 
NULL or a numeric vector of length 2; if it is NULL, it provides defaults estimated from the data. 
fixed.x 
Argument passed to

manNames 
Argument passed to 
latNames 
Argument passed to 
labels 
Argument passed to 
what 
Argument passed to 
nCharNodes 
Argument passed to 
nCharEdges 
Argument passed to 
layout 
Argument passed to 
color 
Argument passed to 
sizeMan 
Argument passed to 
sizeLat 
Argument passed to 
edge.label.cex 
Argument passed to 
weighted 
Argument passed to 
... 
Further arguments passed to the methods. 
The estimated effect sizes and random effects are based on the labels Intercept1, Intercept2, ... and Tau2_1_1, Tau2_2_1, Tau2_2_2, etc. At least two effect sizes are required for this function.
Mike W.L. Cheung <[email protected]>
Cheung, M. W.L. (2013). Multivariate metaanalysis as structural equation models. Structural Equation Modeling, 20, 429454.
Berkey98
, wvs94a
meta2semPlot
semPaths
1 2 3 4 5 6 7  ## Not run:
## lavaan model
model < "y ~ m + x
m ~ x"
plot(model)
## End(Not run)

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