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metaSEM

plot

Plot methods for various objects

Description

It plots the models from either the lavaan model or meta, wls, and osmasem objects.

Usage

## 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, ...)
## S3 method for class 'osmasem'
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, ...)

Arguments

`x`	An object returned from either a lavaan model class `character`, `osmasem`, `wls` or `meta`
`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 `effect.sizes=c(1,2)`. If it is missing, all effect sizes will be plotted in a pairwise way.
`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 `col` in `par`.
`study.pch`	Plotting character of individual studies. See `pch` in `points`.
`study.min.cex`	The minimum value of cex for individual studies. See `cex` in `par`.
`study.weight.plot`	Logical. If `TRUE`, the plotting size of individual studies (cex) will be proportional to one over the square root of the determinant of the sampling covariance matrix of the study.
`study.ellipse.plot`	Logical. If `TRUE`, the confidence ellipses of individual studies are plotted.
`study.ellipse.col`	The color of the confidence ellipses of individual studies. See `col` in `par`.
`study.ellipse.lty`	The line type of the confidence ellipse of individual studies. See `lty` in `par`.
`study.ellipse.lwd`	The line width of the confidence ellipse of individual studies. See `lwd` in `par`.
`estimate.col`	The color of the estimated effect size. See `col` in `par`.
`estimate.pch`	Plotting character of the estimated effect sizes. See `pch` in `points`.
`estimate.cex`	The amount of plotting of the estimated effect sizes. See `cex` in `par`.
`estimate.ellipse.plot`	Logical. If `TRUE`, the confidence ellipse of the estimated effect sizes will be plotted.
`estimate.ellipse.col`	The color of the confidence ellipse of the estimated effect sizes. See `col` in `par`.
`estimate.ellipse.lty`	The line type of the confidence ellipse of the estimated effect sizes. See `lty` in `par`.
`estimate.ellipse.lwd`	The line width of the confidence ellipse of the estimated effect sizes. See `lwd` in `par`.
`randeff.ellipse.plot`	Logical. If `TRUE`, the confidence ellipses of the random effects will be plotted.
`randeff.ellipse.col`	Color of the confidence ellipses of the random effects. See `col` in `par`.
`randeff.ellipse.lty`	The line type of the confidence ellipses of the random effects. See `lty` in `par`.
`randeff.ellipse.lwd`	The line width of the confidence ellipses of the random effects. See `lwd` in `par`.
`univariate.plot`	Logical. If `TRUE`, the estimated univariate effect sizes will be plotted.
`univariate.lines.col`	The color of the estimated univariate effect sizes. See `col` in `par`.
`univariate.lines.lty`	The line type of the estimated univariate effect sizes. See `lty` in `par`.
`univariate.lines.lwd`	The line width of the estimated univariate effect sizes. See `lwd` in `par`.
`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 `TRUE`, diagonal panels will be created. They can then be used for forrest plots for univariate meta-analysis.
`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 `semPlotModel`.
`manNames`	Argument passed to `semPaths`
`latNames`	Argument passed to `semPaths`
`labels`	Argument passed to `semPaths`
`what`	Argument passed to `semPaths`
`nCharNodes`	Argument passed to `semPaths`
`nCharEdges`	Argument passed to `semPaths`
`layout`	Argument passed to `semPaths`
`color`	Argument passed to `semPaths`
`sizeMan`	Argument passed to `semPaths`
`sizeLat`	Argument passed to `semPaths`
`edge.label.cex`	Argument passed to `semPaths`
`weighted`	Argument passed to `semPaths`
`...`	Further arguments passed to the methods.

Note

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.

Author(s)

Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>

References

Cheung, M. W.-L. (2013). Multivariate meta-analysis as structural equation models. Structural Equation Modeling, 20, 429-454.

Examples

## Not run: 
## lavaan model
model <- "y ~ m + x
          m ~ x"
plot(model)

## End(Not run)

metaSEM

Meta-Analysis using Structural Equation Modeling

v1.2.5

GPL (>= 2)

Authors

Mike Cheung [aut, cre] (<https://orcid.org/0000-0003-0113-0758>)

Initial release

2020-11-29

plot

Description

Usage

Arguments

Note

Author(s)

References

See Also

Examples

metaSEM

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