如何更改特定象限中点的颜色?

时间:2019-04-14 17:40:12

标签: r plot

我有一个数据点的散点图,并且能够使用abline创建象限线。现在,我尝试为第1象限和第3象限中的点着色。我将首先绘制所有点,然后仅将第1象限中的点绘制为红色,而在第3象限中的点绘制为蓝色。它们将被叠加在旧的上。但是,我不知道如何按象限绘制点。谢谢。

”编写R代码以绘制红色(等待,爆发)(Q1,Q1)象限中的点,以及红色(等待,爆发)(Q3,Q3)象限中的点蓝色,其他所有黑色,分别使用pch=19cex=0.5。(提示,首先使用pch=19, col="black"绘制所有内容,然后添加条件颜色和所需的颜色,它们将叠加在旧的,剩下的就变成黑色了。”

这是我的基础:

plot(faithful$waiting, faithful$eruptions, pch=19, cex=0.5, col="black")

plot

我意识到我某种程度上只需要用一种颜色绘制象限1中的那些,然后用另一种颜色绘制象限3中的那些,然后在我的基础之后运行该代码。但是我不确定如何。谢谢。

dput(faithful)是:

structure(list(eruptions = c(3.6, 1.8, 3.333, 2.283, 4.533, 2.883, 
4.7, 3.6, 1.95, 4.35, 1.833, 3.917, 4.2, 1.75, 4.7, 2.167, 1.75, 
4.8, 1.6, 4.25, 1.8, 1.75, 3.45, 3.067, 4.533, 3.6, 1.967, 4.083, 
3.85, 4.433, 4.3, 4.467, 3.367, 4.033, 3.833, 2.017, 1.867, 4.833, 
1.833, 4.783, 4.35, 1.883, 4.567, 1.75, 4.533, 3.317, 3.833, 
2.1, 4.633, 2, 4.8, 4.716, 1.833, 4.833, 1.733, 4.883, 3.717, 
1.667, 4.567, 4.317, 2.233, 4.5, 1.75, 4.8, 1.817, 4.4, 4.167, 
4.7, 2.067, 4.7, 4.033, 1.967, 4.5, 4, 1.983, 5.067, 2.017, 4.567, 
3.883, 3.6, 4.133, 4.333, 4.1, 2.633, 4.067, 4.933, 3.95, 4.517, 
2.167, 4, 2.2, 4.333, 1.867, 4.817, 1.833, 4.3, 4.667, 3.75, 
1.867, 4.9, 2.483, 4.367, 2.1, 4.5, 4.05, 1.867, 4.7, 1.783, 
4.85, 3.683, 4.733, 2.3, 4.9, 4.417, 1.7, 4.633, 2.317, 4.6, 
1.817, 4.417, 2.617, 4.067, 4.25, 1.967, 4.6, 3.767, 1.917, 4.5, 
2.267, 4.65, 1.867, 4.167, 2.8, 4.333, 1.833, 4.383, 1.883, 4.933, 
2.033, 3.733, 4.233, 2.233, 4.533, 4.817, 4.333, 1.983, 4.633, 
2.017, 5.1, 1.8, 5.033, 4, 2.4, 4.6, 3.567, 4, 4.5, 4.083, 1.8, 
3.967, 2.2, 4.15, 2, 3.833, 3.5, 4.583, 2.367, 5, 1.933, 4.617, 
1.917, 2.083, 4.583, 3.333, 4.167, 4.333, 4.5, 2.417, 4, 4.167, 
1.883, 4.583, 4.25, 3.767, 2.033, 4.433, 4.083, 1.833, 4.417, 
2.183, 4.8, 1.833, 4.8, 4.1, 3.966, 4.233, 3.5, 4.366, 2.25, 
4.667, 2.1, 4.35, 4.133, 1.867, 4.6, 1.783, 4.367, 3.85, 1.933, 
4.5, 2.383, 4.7, 1.867, 3.833, 3.417, 4.233, 2.4, 4.8, 2, 4.15, 
1.867, 4.267, 1.75, 4.483, 4, 4.117, 4.083, 4.267, 3.917, 4.55, 
4.083, 2.417, 4.183, 2.217, 4.45, 1.883, 1.85, 4.283, 3.95, 2.333, 
4.15, 2.35, 4.933, 2.9, 4.583, 3.833, 2.083, 4.367, 2.133, 4.35, 
2.2, 4.45, 3.567, 4.5, 4.15, 3.817, 3.917, 4.45, 2, 4.283, 4.767, 
4.533, 1.85, 4.25, 1.983, 2.25, 4.75, 4.117, 2.15, 4.417, 1.817, 
4.467), waiting = c(79, 54, 74, 62, 85, 55, 88, 85, 51, 85, 54, 
84, 78, 47, 83, 52, 62, 84, 52, 79, 51, 47, 78, 69, 74, 83, 55, 
76, 78, 79, 73, 77, 66, 80, 74, 52, 48, 80, 59, 90, 80, 58, 84, 
58, 73, 83, 64, 53, 82, 59, 75, 90, 54, 80, 54, 83, 71, 64, 77, 
81, 59, 84, 48, 82, 60, 92, 78, 78, 65, 73, 82, 56, 79, 71, 62, 
76, 60, 78, 76, 83, 75, 82, 70, 65, 73, 88, 76, 80, 48, 86, 60, 
90, 50, 78, 63, 72, 84, 75, 51, 82, 62, 88, 49, 83, 81, 47, 84, 
52, 86, 81, 75, 59, 89, 79, 59, 81, 50, 85, 59, 87, 53, 69, 77, 
56, 88, 81, 45, 82, 55, 90, 45, 83, 56, 89, 46, 82, 51, 86, 53, 
79, 81, 60, 82, 77, 76, 59, 80, 49, 96, 53, 77, 77, 65, 81, 71, 
70, 81, 93, 53, 89, 45, 86, 58, 78, 66, 76, 63, 88, 52, 93, 49, 
57, 77, 68, 81, 81, 73, 50, 85, 74, 55, 77, 83, 83, 51, 78, 84, 
46, 83, 55, 81, 57, 76, 84, 77, 81, 87, 77, 51, 78, 60, 82, 91, 
53, 78, 46, 77, 84, 49, 83, 71, 80, 49, 75, 64, 76, 53, 94, 55, 
76, 50, 82, 54, 75, 78, 79, 78, 78, 70, 79, 70, 54, 86, 50, 90, 
54, 54, 77, 79, 64, 75, 47, 86, 63, 85, 82, 57, 82, 67, 74, 54, 
83, 73, 73, 88, 80, 71, 83, 56, 79, 78, 84, 58, 83, 43, 60, 75, 
81, 46, 90, 46, 74)), row.names = c(NA, 272L), class = "data.frame")

以及我如何定义象限:

plot(faithful$waiting, faithful$eruptions, pch=19, cex=0.5, col="green")
abline(v=quantile(faithful$waiting, 0.75), col="red")
abline(h=quantile(faithful$eruptions,0.75),col="red")  
abline(v=quantile(faithful$waiting, 0.25), col="red")
abline(h=quantile(faithful$eruptions,0.25),col="red")  

mtext("Q1", side=1, at=quantile(faithful$waiting, 0.25), col="red")
mtext("Q1", side=2, at=quantile(faithful$eruptions, 0.25), col="red")
mtext("Q3", side=2, at=quantile(faithful$eruptions, 0.75), col="red")
mtext("Q3", side=1, at=quantile(faithful$waiting, 0.75), col="red")

使用分组时我一直在尝试的事情:

faithful$color<- 'black'

q1<-quantile(faithful$waiting, 0.25)  #how do I assign the quantiles
q3<-quantile(faithful$waiting, 0.75)

faithful$color[faithful$waiting  ]="red"    #how do I then assign the quantiles a color
faithful$color[faithful$waiting  ]="blue"

1 个答案:

答案 0 :(得分:2)

我们可以cut将两个变量都分成分位数,paste的级别一起以获得每个象限的组。

faithful <- within(faithful, {
  e.qtl <- as.integer(cut(faithful$eruptions, 
                          quantile(faithful$eruptions, c(0, .25, .75, 1)), 
                          include.lowest=TRUE))
  w.qtl <- as.integer(cut(faithful$waiting, 
                          quantile(faithful$waiting, c(0, .25, .75, 1)), 
                          include.lowest=TRUE))
  qtl <- as.integer(as.factor(with(faithful, 
                                   paste0(e.qtl, w.qtl))))
})

然后,我们可以轻松地绘制分配col或每个组的数据。

colors <- rainbow(length(unique(faithful$qtl)))  # create colors

# plot
plot(faithful$waiting, faithful$eruptions, type="n")  # empty plot here
with(faithful, points(waiting, eruptions, col=colors[qtl], pch=19, cex=0.5))

然后添加您的ablinemtext

abline(v=quantile(faithful$waiting, 0.75), col="red")
abline(h=quantile(faithful$eruptions, 0.75),col="red")  
abline(v=quantile(faithful$waiting, 0.25), col="red")
abline(h=quantile(faithful$eruptions, 0.25),col="red")  
mtext("Q1", side=1, at=quantile(faithful$waiting, 0.25), col="red")
mtext("Q1", side=2, at=quantile(faithful$eruptions, 0.25), col="red")
mtext("Q3", side=2, at=quantile(faithful$eruptions, 0.75), col="red")
mtext("Q3", side=1, at=quantile(faithful$waiting, 0.75), col="red")

结果

enter image description here