plot.valmeta {metamisc}R Documentation

Forest Plots

Description

Function to create forest plots for objects of class "valmeta".

Usage

## S3 method for class 'valmeta'
plot(x, sort = "asc", ...)

Arguments

x

An object of class "valmeta"

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.

...

Additional arguments which are passed to forest.

Details

The forest plot shows the performance estimates of each validation with corresponding confidence intervals. A polygon is added to the bottom of the forest plot, showing the summary estimate based on the model. A 95% prediction interval is added by default for random-effects models, the dotted line indicates its (approximate) bounds.

Value

An object of class ggplot

Author(s)

Thomas Debray <thomas.debray@gmail.com>

References

Examples

data(EuroSCORE)
fit <- with(EuroSCORE, valmeta(cstat=c.index, cstat.se=se.c.index, 
            cstat.95CI=cbind(c.index.95CIl,c.index.95CIu), N=n, O=n.events))
plot(fit)

library(ggplot2)
plot(fit, theme=theme_grey())


[Package metamisc version 1.0.0 Index]