rmeta: metaplot – R documentation

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metaplot

Meta-analysis plot (forest plot)

Description

Plot confidence intervals with boxes indicating the sample size/precision and optionally a diamond indicating a summary confidence interval. This function is usually called by plot methods for meta-analysis objects.

Usage

metaplot(mn, se, nn=NULL, labels=NULL, conf.level=0.95,
         xlab="Odds ratio", ylab="Study Reference",xlim=NULL,
         summn=NULL, sumse=NULL, sumnn=NULL, summlabel="Summary",
         logeffect=FALSE, lwd=2, boxsize=1,
         zero=as.numeric(logeffect), colors=meta.colors(),
         xaxt="s", logticks=TRUE,  ...)

Arguments

`mn`	point estimates from studies
`se`	standard errors of `mn`
`nn`	precision: box ares is proportional to this. `1/se^2` is the default
`labels`	labels for each interval
`conf.level`	Confidence level for confidence intervals
`xlab`	label for the point estimate axis
`ylab`	label for the axis indexing the different studies
`xlim`	the range for the x axis.
`summn`	summary estimate
`sumse`	standard error of summary estimate
`sumnn`	precision of summary estimate
`summlabel`	label for summary estimate
`logeffect`	`TRUE` to display on a log scale
`lwd`	line width
`boxsize`	Scale factor for box size
`zero`	"Null" effect value
`xaxt`	use `"n"` for no x-axis (to add a customised one)
`logticks`	if `TRUE` and `logscale`, have tick values approximately equally spaced on a log scale

`colors`	see `meta.colors`
`...`	Other graphical parameters

Value

This function is used for its side-effect.

Examples

data(catheter)
a <- meta.MH(n.trt, n.ctrl, col.trt, col.ctrl, data=catheter,
             names=Name, subset=c(13,6,5,3,7,12,4,11,1,8,10,2))
metaplot(a$logOR, a$selogOR, nn=a$selogOR^-2, a$names,
         summn=a$logMH, sumse=a$selogMH, sumnn=a$selogMH^-2,
         logeffect=TRUE)
metaplot(a$logOR, a$selogOR, nn=a$selogOR^-2, a$names,
         summn=a$logMH, sumse=a$selogMH, sumnn=a$selogMH^-2,
         logeffect=TRUE,logticks=FALSE)
## angry fruit salad
metaplot(a$logOR, a$selogOR, nn=a$selogOR^-2, a$names,
         summn=a$logMH, sumse=a$selogMH, sumnn=a$selogMH^-2,
         logeffect=TRUE, colors=meta.colors(box="magenta",
             lines="blue", zero="red", summary="orange",
             text="forestgreen"))

rmeta

Meta-Analysis

v3.0

GPL-2

Authors

Thomas Lumley

Initial release