绘图窗口的总标题 [英] Overall Title for Plotting Window

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本文介绍了绘图窗口的总标题的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

如果我在R中创建一个具有m行和n列的绘图窗口,我怎么能给整体图形设置一个主标题?

例如,I可能有三张散点图显示了3所不同学校的GPA和SAT分数之间的关系。我怎样才能给所有三个地块提供一个主标题,例如CA中的3所学校的SAT分数与GPA比较? 解决方案

我想到的最明显的方法是使用Lattice或ggplot2。这里有一个使用格子的例子:

pre $ library(lattice)
depthgroup <-equal.count(quakes $ depth,number = 3,overlap = 0)
magnitude< -equal.count(地震$ mag,number = 2,overlap = 0)
xyplot(lat_long | depthgroup * magnitude,
data =地震,
main =Fiji Earthquakes,
ylab =latitude,xlab =longitude,
pch =。,
scales = list(x = list (交替= c(1,1,1))),
之间= list(y = 1),
par.strip.text = list(cex = 0.7),
par。设置= list(axis.text = list(cex = 0.7)))

main =参数。

上述示例已从这里



我没有一个好的ggplot2例子,但是在学习r博客

一个选项可能是这个例子他们使用ggplot2和

  opts(title =RSS和NINO3.4温度异常\和1980年以来的SATO指数趋势)

但是你自然会得到在gg2plot中创建的所有三张图。



我认为你应该可以使用格或ggplot2。

If I create a plotting window in R with m rows and n columns, how can I give the "overall" graphic a main title?

For example, I might have three scatterplots showing the relationship between GPA and SAT score for 3 different schools. How could I give one master title to all three plots, such as, "SAT score vs. GPA for 3 schools in CA"?

解决方案

The most obvious methods that come to my mind are to use either Lattice or ggplot2. Here's an example using lattice:

 library(lattice)
 depthgroup<-equal.count(quakes$depth, number=3, overlap=0)
 magnitude<-equal.count(quakes$mag, number=2, overlap=0)
 xyplot(lat ~ long | depthgroup*magnitude,
 data=quakes,
 main="Fiji Earthquakes",
 ylab="latitude", xlab="longitude",
 pch=".",
 scales=list(x=list(alternating=c(1,1,1))),
 between=list(y=1),
 par.strip.text=list(cex=0.7),
 par.settings=list(axis.text=list(cex=0.7)))

In lattice you would change the main= parameter.

The above example was lifted from here.

I don't have a good ggplot2 example, but there are a metricasston of examples with ggpolot2 over at the learn r blog.

One option might be this example where they use ggplot2 and

opts (title = "RSS and NINO3.4 Temperature Anomalies \nand SATO Index Trends Since 1980")

But you would have to have all three graphs created in gg2plot, naturally.

I think you should be fine with either lattice or ggplot2.

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