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 metaanalysis objects. Additional, you can specifiy your
own lower and upper boarder from the confidence interval.
1 2 3 4 5 6  metaplot.surv(mn, se=NULL, lower=NULL, upper=NULL, nn=NULL,
labels=NULL, conf.level = .95, xlab = "", ylab = "", xlim = NULL,
summn = NULL, sumse = NULL, sumlower = NULL, sumupper = NULL,
sumnn = NULL, summlabel = "Summary", logeffect = FALSE,
lwd = 2, boxsize = 1, zero = as.numeric(logeffect),
colors, xaxt="s", logticks=TRUE, ... )

mn 
point estimates from studies 
se 
standard errors of 
lower 
Vector of lower ends of confidence intervals 
upper 
Vector of upper ends of confidence intervals 
nn 
precision: box ares is proportional to this. 
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 
sumlower 
lower end of confidence intervals of summary estimate 
sumupper 
upper end of confidence intervals of summary estimate 
sumnn 
precision of summary estimate 
summlabel 
label for summary estimate 
logeffect 

lwd 
line width 
boxsize 
Scale factor for box size 
zero 
"Null" effect value 
xaxt 
use 
logticks 
if 
.
colors 
see 
... 
Other graphical parameters 
This function is used for its sideeffect.
forestplot.surv
for more flexible plots
1 
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
All documentation is copyright its authors; we didn't write any of that.