如何在包元组合中结合森林图？

Question

假设下面的代码（如http://www.metafor-project.org/doku.php/plots:forest_plot_with_subgroups中所述）

library(metafor)

### decrease margins so the full space is used
par(mar=c(4,4,1,2))

### fit random-effects model (use slab argument to define study labels)
res <- rma(ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg, measure="RR",
           slab=paste(author, year, sep=", "), method="REML")

### set up forest plot (with 2x2 table counts added; rows argument is used
### to specify exactly in which rows the outcomes will be plotted)
forest(res, xlim=c(-16, 6), at=log(c(.05, .25, 1, 4)), atransf=exp,
       ilab=cbind(dat.bcg$tpos, dat.bcg$tneg, dat.bcg$cpos, dat.bcg$cneg),
       ilab.xpos=c(-9.5,-8,-6,-4.5), cex=.75, ylim=c(-1, 27),
       order=order(dat.bcg$alloc), rows=c(3:4,9:15,20:23),
       xlab="Relative Risk", mlab="RE Model for All Studies", psize=1)

### set font expansion factor (as in forest() above) and use bold italic
### font and save original settings in object 'op'
op <- par(cex=.75, font=4)

### add text for the subgroups
text(-16, c(24,16,5), pos=4, c("Systematic Allocation",
                               "Random Allocation",
                               "Alternate Allocation"))

### switch to bold font
par(font=2)

### add column headings to the plot
text(c(-9.5,-8,-6,-4.5), 26, c("TB+", "TB-", "TB+", "TB-"))
text(c(-8.75,-5.25),     27, c("Vaccinated", "Control"))
text(-16,                26, "Author(s) and Year",     pos=4)
text(6,                  26, "Relative Risk [95% CI]", pos=2)

### set par back to the original settings
par(op)

### fit random-effects model in the three subgroups
res.s <- rma(ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg, measure="RR",
             subset=(alloc=="systematic"), method="REML")
res.r <- rma(ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg, measure="RR",
             subset=(alloc=="random"), method="REML")
res.a <- rma(ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg, measure="RR",
             subset=(alloc=="alternate"), method="REML")

### add summary polygons for the three subgroups
addpoly(res.s, row=18.5, cex=.75, atransf=exp, mlab="RE Model for Subgroup")
addpoly(res.r, row= 7.5, cex=.75, atransf=exp, mlab="RE Model for Subgroup")
addpoly(res.a, row= 1.5, cex=.75, atransf=exp, mlab="RE Model for Subgroup")

此代码提供以下组合森林图：

所以我的问题是如何在情节的最底部消除总相对风险及其相应的结果？换句话说，我只想绘制一些森林图并在同一个图中显示它们，但不想将它们组合起来并显示结果结果。

Answer 1

在forest(...)部分中，使用addfit=FALSE。然后你还想调整ylim值。在这种情况下，ylim=c(1, 27)应该有效。