metamisc (version 0.1.9)

plot.riley: Plot the summary of the bivariate model from Riley et al. (2008).

Description

Generates a forest plot for each outcome of the bivariate meta-analysis.

Usage

# S3 method for riley
plot(x, title, sort = "asc", xlim, refline, ...)

Arguments

x

An object of class riley

title

Title of the forest plot

sort

By default, studies are ordered by ascending effect size (sort="asc"). For study ordering by descending effect size, choose sort="desc". For any other value, study ordering is ignored.

xlim

The x limits (x1, x2) of the forest plot

refline

Optional numeric specifying a reference line

…

Additional parameters for generating forest plots

References

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.

Examples

# NOT RUN {
data(Scheidler)

#Perform the analysis
fit <- riley(Scheidler[which(Scheidler$modality==1),])
plot(fit)

require(ggplot2)
plot(fit, sort="none", theme=theme_gray())

# }