15

我想制作一个点范围图，其中组的点不相互堆叠。情节应如下所示在此处输入图像描述：

我最好的躲避尝试是在躲避参数中使用向量：

library(ggplot2)

dat <- structure(list(Treatment = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 
2L, 2L, 2L, 2L, 2L, 2L), .Label = c("A", "B"), class = "factor"), 
    Temp = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 
    2L, 2L), .Label = c("10", "20"), class = "factor"), Rep = c(1L, 
    2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), Meas = c(3L, 
    2L, 2L, 2L, 6L, 4L, 4L, 3L, 5L, 1L, 2L, 3L), SD = c(2L, 3L, 
    2L, 2L, 2L, 3L, 2L, 3L, 3L, 3L, 2L, 1L)), .Names = c("Treatment", 
"Temp", "Rep", "Meas", "SD"), row.names = c(NA, -12L), class = "data.frame")

ggplot(dat, aes(x = Treatment, y = Meas, ymin = Meas - SD/2, ymax = Meas + SD/2)) +
geom_linerange(aes(color = Temp), position=position_dodge(width=c(0.6,0.4)), size = 1, alpha = 0.5) +
geom_point(aes(color = Temp, shape = Temp), position=position_dodge(width=c(0.6,0.4)), size = 3) +
theme_bw()

这导致如下图所示。然而，所有的点都没有被躲开，我必须在 Illustrator 中移动点和误差线才能得到上面的绘图。有没有办法ggplot2在两个层面上使用闪避参数？ 在此处输入图像描述

4

2 回答 2

5

逻辑思维，position_dodge比较适合吧。它确实适用lineranges于一个因素级别，但是在第二个级别上，很难定义线之间的最小距离。尽管您可以在因子之间进行数字区分，然后为标签添加适当的位置。

dat1<-cbind(dat,aux=rep(1,length(dat[,1]))) 
dat1<-within(dat1, {aux = unlist(by(aux,Treatment,cumsum))})
dat1$aux<-dat1$aux+as.numeric(dat1$Treatment)*10
ggplot(dat1, aes( x=aux, y = Meas, ymin = Meas - SD/2, ymax = Meas + SD/2)) +
geom_linerange(aes(color = Temp), size = 1, alpha = 0.5) +geom_point(aes(color = Temp, shape = Temp))+
scale_x_continuous("Treatment",breaks=c(13.5,23.5), labels=c("A","B")) + # here you define coordinates for A and B 
theme_bw()

在此处输入图像描述

于 2013-03-18T09:21:15.847 回答
2

这不会解决问题，position_dodge()但会解决此问题。

x向原始数据框添加了新变量。它包含x点/线范围的坐标。数据框中的值应该按照您想要绘制它们的顺序排列。

dat$x<-c(0.85,0.9,0.95,1.05,1.1,1.15,1.85,1.9,1.95,2.05,2.1,2.15)

现在使用这个新变量作为x值，并scale_x_continuos()设置中断和标签来获取A和B缩放。

ggplot(dat, aes(x = x, y = Meas, ymin = Meas - SD/2, ymax = Meas + SD/2)) +
  geom_linerange(aes(color = Temp), size = 1, alpha = 0.5) +
  geom_point(aes(color = Temp, shape = Temp), size = 3) +
  theme_bw()+
  scale_x_continuous("Treatment",breaks=c(1,2),labels=c("A","B"),limits=c(0.5,2.5))
于 2013-03-18T09:15:51.777 回答