BayesCombo: forestplot – R documentation

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forestplot

Forest plot

Description

Plots the effect sizes and standard errors for a set of studies as a standard forest plot. Also shown are the priors for each study.

Usage

forestplot(x, range = NULL, xlab = "Effect size", ylab = "Study", ...,
  labels = NULL)

Arguments

`x`	An object of the class `EV`.
`range`	A numeric vector of length two that sets the range of the x-axis. Values are passed to `xlim`. Sensible default values are used when `range = NULL`.
`xlab, ylab`	Text for the x and y axes labels.
`...`	Other options passed to `plot()`.
`labels`	Names for studies to be plotted on the y-axis. If `NULL`, then numbers are used.

Details

This function plots results from the ev.combo() function. The results may be hard to visualise if the effect sizes differ greatly, and it may be preferable to standardise the effect sizes by setting scale = TRUE in the ev.combo() function.

Value

A forest plot.

Examples

x <- ev.combo( beta = c(0.0126, 5.0052, 1.2976, 0.0005),
       se.beta = c(0.050, 2.581, 2.054, 0.003) )
forestplot(x)

BayesCombo

Bayesian Evidence Combination

v1.0

GPL-3

Authors

Bruno Contrino, Stanley E. Lazic

Initial release

2017-02-06