如何在另一行图内使直方图较小
我希望像以下内容一样制作一个情节：
plot(cp1cold,"overall",col=4,ylab="RR",xlab="Temperature",xlim=c(-5,35),
ylim=c(-0.5,3.5),axes=F,lwd=1.5)
lines(cp1hot,"overall",ci="area",col=2,lwd=1.5)
axis(1,at=-1:7*5)
axis(2,at=c(1:7*0.5))
title("Overall cumulative association and temperature distribution")
mtext("London 1993-2006",cex=0.75)
par(new=T)
hist(lndn$tmean,xlim=c(-5,35),ylim=c(0,1200),axes=F,ann=F,col=grey(0.95),breaks=30)
abline(v=quantile(lndn$tmean,c(0.01,0.99)),lty=2)
abline(v=cen,lty=3)
axis(4,at=0:4*100)
mtext("Freq",4,line=2.5,at=200,cex=0.8)
可以在此处找到哪个代码：
我的情节带有巨大的直方图。 有人知道如何使该直方图较小吗？
obs：我尝试使用不同的布局，将每个图都放在一个线层中，但在美学上并不令人愉悦
I wish to make a plot just like the following:
plot(cp1cold,"overall",col=4,ylab="RR",xlab="Temperature",xlim=c(-5,35),
ylim=c(-0.5,3.5),axes=F,lwd=1.5)
lines(cp1hot,"overall",ci="area",col=2,lwd=1.5)
axis(1,at=-1:7*5)
axis(2,at=c(1:7*0.5))
title("Overall cumulative association and temperature distribution")
mtext("London 1993-2006",cex=0.75)
par(new=T)
hist(lndn$tmean,xlim=c(-5,35),ylim=c(0,1200),axes=F,ann=F,col=grey(0.95),breaks=30)
abline(v=quantile(lndn$tmean,c(0.01,0.99)),lty=2)
abline(v=cen,lty=3)
axis(4,at=0:4*100)
mtext("Freq",4,line=2.5,at=200,cex=0.8)
Which code can be found here: https://github.com/gasparrini/2014_gasparrini_BMCmrm_Rcodedata/blob/master/03.graphs.R
However, no matter what I try, when I try using my own data my plot comes with a huge histogram.
Do someone know how to make this histogram smaller?
OBS: I have tried using a different layout, putting each plot in one line layer, but it was not aesthetically pleasing
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评论（1）
您的数据具有很高的值四个直方图。您的上限值（1200）低于您的较高值。因此，您的直方图超过了其边界。您必须在“ Ylim = C（0,1200）”处更改上限值。
Your data have very high values four your histogram. Your upper limit value (1200) is lower than your higher values. Because of that, your histogram exceeds its boundries. You must change the upper limit value at "ylim=c(0,1200)".