r - 使用带有多个添加点的 plot() 更改 R 中点的大小()

Question

数据可在此处获得。

我正在尝试生成下面的图（个人的比例~年），除了我需要将所有点（resF、resM、immF和immM）缩放到每列的观察数（resFN、resMN、immFN和immMN）。

我用来制作上图的代码如下：

library (plotrix)

plot(resF~year,data=data, type="b", col="black", xlab="Settlement year", ylab="Number of individuals", bty="l", pch=17, ylim=c(0,1))
ablineclip(v=1993, col="grey95", lwd=14, y1=0)
ablineclip(v=1998, col="grey95", lwd=14, y1=0)
ablineclip(v=2005, col="grey95", lwd=14, y1=0)
ablineclip(v=2010, col="grey95", lwd=14, y1=0)
ablineclip(v=2014, col="grey95", lwd=14, y1=0)
points(resF~year,data=data, col="black", type="b", pch=17)
points(resM~year,data=data, col="grey", type="b", pch=16)
points(immF~year,data=data, col="red", type="b", pch=17)
points(immM~year,data=data, col="orange", type="b", pch=16)
legend("topright", c("Resident females","Resident males", "Immigrant females", "Immigrant males"), col=c("black", "grey","red", "orange"), pch=c(17, 16, 17, 16), box.lty=0)

我正在绘制, 并为,和resF加点。我想根据每列的观察次数来缩放点。例如，将需要根据 column 中的观察数重新调整比例，缩放为 number in等。resMimmFimmMresFresFNresMresMN

根据我所阅读的内容，我应该能够通过添加symbols(x=data$resFN, y=data$year, circles=sqrt(data$resFN/pi), inches=1/3, ann=F, bg="steelblue2", fg=NULL)到我的plot()代码来重新调整这些点。我遇到了问题，因为我points()在原始文件中添加了多个，plot()并且我还根据不同列中的值重新缩放。

关于我如何做到这一点的任何建议？

标签： rplotplotrixrescale

Answer 1

例如，我不一定会推荐这种特定的缩放比例，但这会给你基本的想法。我只会按您认为合适的方式缩放分数。特别是，您需要决定它们是应该按类别单独缩放，还是在所有类别中按相同数量缩放。

plot(resF~year,data=data, type="b", col="black", xlab="Settlement year", 
     ylab="Number of individuals", bty="l", pch=17, ylim=c(0,1))
ablineclip(v=1993, col="grey95", lwd=14, y1=0)
ablineclip(v=1998, col="grey95", lwd=14, y1=0)
ablineclip(v=2005, col="grey95", lwd=14, y1=0)
ablineclip(v=2010, col="grey95", lwd=14, y1=0)
ablineclip(v=2014, col="grey95", lwd=14, y1=0)
points(resF~year,data=data, col="black", type="b", pch=17,cex = resFN / median(resFN))
points(resM~year,data=data, col="grey", type="b", pch=16,cex = resMN / median(resMN))
points(immF~year,data=data, col="red", type="b", pch=17,cex = immFN / median(immFN))
points(immM~year,data=data, col="orange", type="b", pch=16,cex = immMN / median(immMN))
legend("topright", c("Resident females","Resident males", "Immigrant females", "Immigrant males"), 
       col=c("black", "grey","red", "orange"), pch=c(17, 16, 17, 16), box.lty=0)