绘制叠加的 ggplot stat_density2d 图形(R语言)

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本文介绍了如何使用R语言ggplot2包绘制叠加的stat_density2d图形,通过示例展示了如何比较不同数据集的分布情况,包括安装ggplot2包、创建数据集和生成叠加图形的步骤。

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绘制叠加的 ggplot stat_density2d 图形(R语言)

在本文中,我们将介绍如何使用 R 语言中的 ggplot2 包绘制叠加的 stat_density2d 图形。我们将通过给标题润色和修改来开始我们的讨论。

绘制叠加的 ggplot stat_density2d 图形

在 R 语言中,ggplot2 包提供了强大的绘图功能,可以绘制各种类型的图形。其中,stat_density2d 函数用于绘制二维核密度估计图形。我们可以通过叠加多个 stat_density2d 图形来比较不同数据集的分布情况。

首先,我们需要安装 ggplot2 包。可以使用以下代码安装:

install.packages("ggplot2")

安装完成后,我们可以加载 ggplot2 包:

library(ggplot2)

接下来,我们将创建两个示例数据集来演示叠加的 stat_density2d 图形。假设我们有两个数据集 A 和 B,每个数据集包含两个连续变量 x 和 y。我们将使用以下代码生成示例数据:

# 创建示例数据集
x1=c(101,119,143,162,98,122,135,144,141,180,135,130,154,88,107,125,114,157,142,155,100,168,143,122,111,167,189,147,99,156,131,101,118,176,133,100,157,97,103,109) x2=c(25,27,33,35,25,29,32,33,33,42,32,32,34,23,26,27,27,34,33,34,25,37,33,30,28,38,43,33,23,38,30,25,27,40,32,25,36,24,25,26) x3=c("女","女","男","男","女","男","男","男","男","男","男","女","男","女","女","男","女","男","男","男","女","男","男","男","女","男","男","男","女","男","男","女","女","男","男","女","男","女","女","女") x4=c("A","A","C","B","A","B","B","B","A","B","C","A","B","A","A","B","A","C","A","C","A","A","B","B","C","B","C","B","C","B","C","C","B","C","C","B","C","A","A","C") data1=data.frame(x1,x2) data2=data.frame(x3,x1) data3=data.frame(x3,x2) data4=data.frame(x1) data5=data.frame(x2) data6=data.frame(x3) data7=data.frame(x3,x4) install.packages("ggplot2") library(ggplot2) p1=ggplot(DATA4,aes(x=x1,y=density..))+ geom_histogram(binwidth=20,fill="lightblue")+ geom_density() p1 p2=ggplot(DATA5,aes(x=x2))+ stat_ecdf(aes(x2)) p2 p3=ggplot(DATA6,aes(x=x3))+ geom_bar(stat="count") p3 p4=ggplot(DATA1,aes(x1,x2))+ geom_point()+ geom_smooth(method="lm") p4 p5=ggplot(DATA1,aes(x=x1,y=x2))+ geom_point()+stat_density2d() p5 m=ggplot(scale(x1),scale(x2), xlab="x1",ylab="x2") x1=m$x x2=m$y p6=ggplot()+stat_qq(aes(sample=x2))+ stat_qq_line(aes(sample=x2)) p6=p6+xlab("x1")+ylab("x2") p6 p7=ggplot(data=DATA7,mapping=aes(x=x4,fill=x3))+ geom_bar(stat="count",width=0.5,position="dodge")+ geom_text(stat="count",aes(label=..count..), color="black",size=3.5,position=position_dodge(0.5), vjust=-0.5)+ scale_fill_manual(values=c("#999999","black")) p7 p8=ggplot(DATA2,aes(x=x3,y=x1))+ geom_boxplot(aes(x=x3,group=x3),width=.25, fill="cornsilk",colour="grey60")+ geom_dotplot(aes(x=x3,group=x3), binaxis="y",binwidth= .5,stackdir="center", fill="red") p8 p9=ggplot(DATA2,aes(x=x4,y=x2))+ geom_boxplot(aes(x=x4,group=x4),width=.25, fill="cornsilk",colour="grey60")+ geom_dotplot(aes(x=x4,group=x4), binaxis="y",binwidth= .5,stackdir="center", fill="red") p9 library("gridExtra") grid.arrange(p1,p2,p3,p4,p5,p6,p7,p8,p9,ncol=3,nrow=3) 分析上述代码
03-17
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