将不同结果的线添加到ggplot2中的箱线图 [英] Add a line from different result to boxplot graph in ggplot2

问题描述

我有一个数据帧(df1)，其中包含3列(y1，y2，x).我设法在y1，x和y2，x之间绘制了箱形图.我有另一个数据框(df2)，其中包含两列A，x.我想绘制一个折线图(A，x)并将其添加到箱线图中.注意，两个数据帧中的变量x是轴访问，但是它具有不同的值.我试图根据factor(x)合并并重塑两个数据框和图形...在一张图中我得到了3个箱形图.我需要在一张图中将df2绘制为直线，将df1绘制为boxplot.

I have a dataframe (df1) that contains 3 columns (y1, y2, x). I managed to plot a boxplot graph between y1, x and y2, x. I have another dataframe (df2) which contains two columns A, x. I want to plot a line graph (A,x) and add it to the boxplot. Note the variable x in both dataframes is the axis access, however, it has different values. I tried to combine and reshape both dataframes and plot based on the factor(x)... I got 3 boxplots in one graph. I need to plot df2 as line and df1 as boxplot in one graph.

df1 <- structure(list(Y1 = c(905L, 941L, 744L, 590L, 533L, 345L, 202L, 
369L, 200L, 80L, 200L, 80L, 50L, 30L, 60L, 20L, 30L, 30L), Y2 = c(774L, 
823L, 687L, 545L, 423L, 375L, 249L, 134L, 45L, 58L, 160L, 60L, 
20L, 40L, 20L, 26L, 19L, 27L), x = c(10L, 10L, 10L, 20L, 20L, 
20L, 40L, 40L, 40L, 50L, 50L, 50L, 70L, 70L, 70L, 90L, 90L, 90L
 )), .Names = c("Y1", "Y2", "x"), row.names = c(NA, -18L), class = "data.frame")

df2 <- structure(list(Y3Line = c(384L, 717L, 914L, 359L, 241L, 265L, 
240L, 174L, 114L, 165L, 184L, 96L, 59L, 60L, 127L, 54L, 31L, 
44L), x = c(36L, 36L, 36L, 56L, 56L, 56L, 65L, 65L, 65L, 75L, 
75L, 75L, 85L, 85L, 85L, 99L, 99L, 99L)), .Names = c("A", 
"x"), row.names = c(NA, -18L), class = "data.frame")

df_l <- melt(df1, id.vars = "x")

ggplot(df_l, aes(x = factor(x), y =value, fill=variable  )) +
geom_boxplot()+
#  here I'trying to add the line graph from df2
geom_line(data = df2, aes(x = x, y=A))

有什么建议吗?

推荐答案

在第二个数据集中，每个x值有3个y值，是否要为每个x值或每x值绘制均线?两者都显示如下.技巧是首先将两个数据集中的x变量更改为包含两个变量所有级别的因子.

In the second dataset you have three y values per x value, do you want to draw seperate lines per x value or the mean per x value? Both are shown below. The trick is to first change the x variables in both datasets to factors that contain all the levels of both variables.

df1 <-structure(list(Y1 = c(905L, 941L, 744L, 590L, 533L, 345L, 202L, 
369L, 200L, 80L, 200L, 80L, 50L, 30L, 60L, 20L, 30L, 30L), Y2 = c(774L, 
823L, 687L, 545L, 423L, 375L, 249L, 134L, 45L, 58L, 160L, 60L, 
20L, 40L, 20L, 26L, 19L, 27L), x = c(10L, 10L, 10L, 20L, 20L, 
20L, 40L, 40L, 40L, 50L, 50L, 50L, 70L, 70L, 70L, 90L, 90L, 90L
)), .Names = c("Y1", "Y2", "x"), row.names = c(NA, -18L), class = "data.frame")

df2 <- structure(list(Y3Line = c(384L, 717L, 914L, 359L, 241L, 265L, 
240L, 174L, 114L, 165L, 184L, 96L, 59L, 60L, 127L, 54L, 31L, 
44L), x = c(36L, 36L, 36L, 56L, 56L, 56L, 65L, 65L, 65L, 75L, 
75L, 75L, 85L, 85L, 85L, 99L, 99L, 99L)), .Names = c("A", 
"x"), row.names = c(NA, -18L), class = "data.frame")

library(ggplot2)
library(reshape2)

df_l <- melt(df1, id.vars = "x")

allLevels <- levels(factor(c(df_l$x,df2$x)))
df_l$x <- factor(df_l$x,levels=(allLevels))
df2$x <- factor(df2$x,levels=(allLevels))

每个x类别的行:

ggplot(data=df_l,aes(x = x, y =value))+geom_line(data=df2,aes(x = factor(x), y =A))  + 
geom_boxplot(aes(fill=variable )) 

x个类别的关联均值:

Connected means of x categories:

ggplot(data=df2,aes(x = factor(x), y =A)) + 
stat_summary(fun.y=mean, geom="line", aes(group=1))  + 
geom_boxplot(data=df_l,aes(x = x, y =value,fill=variable )) 

这篇关于将不同结果的线添加到ggplot2中的箱线图的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！