首页 > 解决方案 > 使用 R 将图例添加到结合​​ geom_line 和 geom_shape 的 ggplot

问题描述

我有以下 MWE:

library(scales)
library(tidyverse)

Canada <- c(383.927, 387.088, 390.648, 393.926, 395.947, 393.98, 388.772, 
392.391, 391.804, 389.321, 390.583, 390.062, 390.596, 392.19, 
392.267, 397.572, 397.807, 394.64, 391.737, 392.659, 392.483, 
392.012, 391.842, 394.06, 391.661, 390.621, 392.533, 396.218, 
401.802, 397.298, 392.468, 392.056, 394.752, 392.947, 392.606, 
391.839, 392.169, 393.29, 399.993, 396.114, 403.1, 398.263, 395.066, 
397.16, 399.562, 396.865, 392.898, 396.89, 398.529, 402.269, 
-9.999e+09, 398.294, 401.033, 399.328, -9.999e+09, 400.062, 395.829, 
397.754, 395.306, 394.87, 398.469, 399.91, 405.053, 404.678, 
402.185, 396.605, -9.999e+09, 402.252, 405.295, 401.08, 400.527, 
398.38, 400.152, 396.42, 402.497, 406.855, 403.56, -9.999e+09, 
-9.999e+09, 405.773, 402.306, 403.146, 403.079, 400.712)

Canada1 <- c(390.704083333333, 393.322083333333, 393.900083333333, 396.780833333333, 
398.3274, 401.312181818182, 402.45)

x.axis <- c("Jan. 2010","","","","","July 2010","","","","","",
"Dec. 2010","","","","","","July 2011","","","","","",
"Dec. 2011","","","","","","July 2012","","","","","",
"Dec. 2012","","","","","","July 2013","","","","","",
"Dec. 2013","","","","","","July 2014","","","","","",
"Dec. 2014","","","","","","July 2015","","","","","",
"Dec. 2015","","","","","","July 2016","","","","","",
"Dec. 2016","")

# Edit
d1 <- as.Date(paste0("201001","01"), "%Y%m%d")
d2 <- as.Date(paste0("201612","01"), "%Y%m%d")
date1 <- format(seq(d1,d2,by="month"), "%Y%m%d")
datCan <- data.frame(co2 = Canada, labels = as.character(time), date = date1, group = 1)
d1 <- as.Date(paste0("201006","01"), "%Y%m%d")
d2 <- as.Date(paste0("201606","01"), "%Y%m%d")
date2 <- format(seq(d1,d2,by="year"), "%Y%m%d")
dat2Can <- data.frame(co2 = Canada1, date = date2, group = 2)

Canplot <- ggplot() + geom_line(data = datCan, aes(x = date, y = co2, group = group)) 
  + geom_line(data = dat2Can, linetype = "dashed", aes(x = date, y = co2, group = group), color = "Red")
  + geom_point(data = dat2Can, size=2, aes(x = date, y = co2, group = group), color = "Red")
  + ylim(380,410) + scale_x_discrete(labels = x.axis)
  + theme_classic(base_size=12) + ylab("yval")
  + xlab("Time") + theme(axis.text.x = element_text(angle = 45, hjust=1))

哪个生产

在此处输入图像描述

我想在这个情节中添加一个图例,但由于我包含geom_lineand 而遇到了麻烦geom_point。我相信我需要这样做,因为这些点位于特定位置。关于我如何做到这一点的任何想法?我愿意创建一个独立的图例,它只是一条黑线和红色虚线,中间有一个圆圈。这可以正常工作,因为无论如何我都在使用 LaTeX 来格式化我的文档。

标签: rggplot2legend

解决方案


要为不同的数据框获取两个不同的图例,您可以使用包中的new_color_scale函数ggnewscale

在这里,我曾经lubridate将日期序列添加到线和点的各个向量中,然后从这些向量中创建数据框:

library(lubridate)
date_seq = seq(ymd("2010-01-01"),ymd("2016-12-01"),length.out = length(Canada))
date_seq_point = seq(ymd("2010-06-01"),ymd("2016-06-01"),length.out = length(Canada1))

Can <- data.frame(Canada = Canada,
                  Xaxis = date_seq,
                  dataset = "Lines")

Can_point = data.frame(Canada = Canada1,
                       Xaxis = date_seq_point,
                       dataset2 ="Points")

现在,您可以使用这些新数据框进行绘图,并在调用时为线和点获取适当的图例new_color_scale

library(ggnewscale)
library(ggplot2)

ggplot()+
  geom_line(data = Can, aes(x = Xaxis, y = Canada, color = dataset))+
  scale_color_manual(name = "Lines",values = "black")+
  new_scale_color()+
  geom_line(data = Can_point, aes(x  = Xaxis, y = Canada, color = dataset2))+
  geom_point(data = Can_point, aes(x  = Xaxis, y = Canada, color = dataset2))+
  scale_color_manual(name = "Points",values = "red")+
  ylim(380,410)+
  scale_x_date(date_breaks = "6 months", date_labels = "%b %Y")+
  theme(axis.text.x = element_text(angle = 45, hjust = 1))

在此处输入图像描述


编辑:一个传说中有两个不同的传说

根据 OP 的要求,目标是为线和点保留一个图例,但线图例中不显示点。

因此,您可以通过执行以下操作将两个数据帧绑定在一起:

library(lubridate)
date_seq = seq(ymd("2010-01-01"),ymd("2016-12-01"),length.out = length(Canada))
date_seq_point = seq(ymd("2010-06-01"),ymd("2016-06-01"),length.out = length(Canada1))

Can <- data.frame(Canada = Canada,
                  Xaxis = date_seq,
                  dataset = "Lines")

Can_point = data.frame(Canada = Canada1,
                       Xaxis = date_seq_point,
                       dataset ="Points")

DF <- rbind(Can, Can_point)

然后,您可以在每个数据集的函数中绘制线和点,但通过将shape参数添加到aes. 然后,您可以将黑点的形状设置为 NA in scale_shape_manual

library(ggplot2) 

ggplot(DF, aes(x = Xaxis, y = Canada, color = dataset, shape = dataset))+
  geom_point()+
  geom_line()+
  ylim(380,410)+
  scale_color_manual(values = c("black","red"))+
  scale_shape_manual(values = c(NA,16))

在此处输入图像描述

它回答了你的问题吗?


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