metaplot: Meta-analysis plot (forest plot)

In rmeta: Meta-Analysis

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.

See Also

forestplot for more flexible plots

plot.meta.DSL, plot.meta.MH, plot.meta.summaries

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"))

Example output

Loading required package: grid

rmeta documentation built on May 2, 2019, 1:10 p.m.