如何在R中用气泡图绘制比例数据

Question

我有两个不同年份的鱼的饮食比例数据。我正在努力让气泡大小反映出可能的值的范围是从0到1，但没有一个值真正达到1。这是我在SigmaPlot中制作的一个图，我想在R中重新创建。有12种不同的猎物类别。

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我已经设法在R中创建了一个图，但大小似乎缩放到了最大的比例。这是代码和复制的图。

library(reshape)
library(ggplot2)

Species <- as.character(c(1:12))
yr2016 <- as.numeric(c(0.17, 0.011, 0.022, 0.003, 0.51, 0.1, 
                       0.01, 0.03, 0.004, 0.06, 0.07, 0.01))
yr2017 <- as.numeric(c(0.197, 0.005, 0.027, 0.01, 0.337, 0.157,
                       0.008, 0.038, 0.017, 0.17, 0.032, 0.002))
data <- as.data.frame(cbind(Species, yr2016, yr2017))
data$yr2016 <- as.numeric(as.character(data$yr2016))
data$yr2017 <- as.numeric(as.character(data$yr2017))
data2 <- melt(data)

ggplot(data2,
       aes(x = variable, y = factor(Species, levels = unique(Species))))+
  geom_point(aes(size = value))+
  labs(y = "Prey Items", x = "Year")+
  theme_classic() +
  scale_size_area()

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Answer 1

您可以使用参数limits = c(0,1)在scale_size_area中手动设置限制，并使用max_size参数手动设置最大区域的大小，即max_size = 20

希望这能让你得到你想要的东西。

    library(reshape)
    library(ggplot2)
    library(data.table)
    Species <- as.character(c(1:12))
    yr2016 <-as.numeric(c(0.17,0.011,0.022,0.003,0.51,0.1,0.01,0.03,0.004,0.06,0.07,0.01))
    yr2017 <-as.numeric(c(0.197,0.005,0.027,0.01,0.337,0.157,0.008,0.038,0.017,0.17,0.032,0.002))
    data<-as.data.frame(cbind(Species,yr2016,yr2017))
    data$yr2016 <- as.numeric(as.character(data$yr2016)); 
    data$yr2017 <- as.numeric(as.character(data$yr2017))
    data2<-melt(data)
    p <-  ggplot2::ggplot(data2,aes(x=variable, y=factor(Species, levels=unique(Species))))+
      geom_point(aes(size=value))+
      labs(y="Prey Items",x="Year")+
      theme_classic() +
      scale_size_area( limits = c(0,1),max_size = 20)
    p

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如果需要，您还可以添加自己的breaks，如c(0.1, 0.2, 0.5, etc)或创建一系列中断：seq(from = 0.1, to = max(data2$value), by = 0.1)

如果您不仅想设置最大值，还想设置最小值，您可以切换到scale_size而不是scale_size_area，其中range(min，max)设置刻度两端的大小

library(reshape)
library(ggplot2)
library(data.table)
Species <- as.character(c(1:12))
yr2016 <-as.numeric(c(0.17,0.011,0.022,0.003,0.51,0.1,0.01,0.03,0.004,0.06,0.07,0.01))
yr2017 <-as.numeric(c(0.197,0.005,0.027,0.01,0.337,0.157,0.008,0.038,0.017,0.17,0.032,0.002))
data<-as.data.frame(cbind(Species,yr2016,yr2017))
data$yr2016 <- as.numeric(as.character(data$yr2016)); 
data$yr2017 <- as.numeric(as.character(data$yr2017))
data2<-melt(data, id = 'Species')
sizes <- c('0.2' = 0.2, '0.4' = 0.4, '0.6' = 0.6, '0.8'= 0.8, '1.0' = 1.0)
p <-  ggplot2::ggplot(data2,aes(x=variable, y=factor(Species, levels=unique(Species))))+
  geom_point(aes(size=value))+
  labs(y="Prey Items",x="Year")+
  theme_classic() +
  scale_size( limits = c(0,1),breaks = seq(from = 0.1, to = max(data2$value), by = 0.1),range = c(1,20))
p

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