plot.riley | R Documentation |
Generates a forest plot for each outcome of the bivariate meta-analysis.
## S3 method for class 'riley' plot(x, title, sort = "asc", xlim, refline, ...)
x |
An object of class |
title |
Title of the forest plot |
sort |
By default, studies are ordered by ascending effect size ( |
xlim |
The |
refline |
Optional numeric specifying a reference line |
... |
Additional parameters for generating forest plots |
Thomas Debray <thomas.debray@gmail.com>
Riley RD, Thompson JR, Abrams KR. An alternative model for bivariate random-effects meta-analysis when the within-study correlations are unknown. Biostatistics 2008; 9: 172–186.
data(Scheidler) #Perform the analysis fit <- riley(Scheidler[which(Scheidler$modality==1),]) plot(fit) require(ggplot2) plot(fit, sort="none", theme=theme_gray())
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