为多个变量制作堆叠条形图 - g中的ggplot2 [英] Making a stacked bar plot for multiple variables - ggplot2 in R

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问题描述

在ggplot2中制作堆叠条形图时遇到一些问题。我知道如何用barplot()创建一个,但是我想使用ggplot2,因为它很容易让bar具有相同的高度('position ='fill'',如果我没有弄错的话)。



我的问题是我有多个变量,我想在彼此之上绘图;我的数据如下所示:

  dfr < -  data.frame(
V1 = c(0.1,0.2, (0.3,0.6,0.5),
V4 = c(0.5,0.1,0.7),
row.names = LETTERS [1:3]

我想要的是在X轴上具有类别A,B和C的绘图,并且对于其中的每一个,V1,V2,V3和V4的值在Y轴上彼此堆叠。我所看到的大多数图表在Y轴上只绘制了一个变量,但我确信某人可以以某种方式做到这一点。



我怎样才能用ggplot2做到这一点?谢谢!

解决方案

首先进行一些数据操作。

  dfr $ category<  -  row.names(dfr)将数据类型作为变量添加并将数据融化为长格式。 
mdfr < - melt(dfr,id.vars =category)

现在使用名为变量的变量来确定每个栏的填充颜色。

 (p <-ggplot(mdfr,aes(category,value,fill = variable))+ 
geom_bar(position =fill,stat =identity) +
scale_y_continuous(labels = percent)

(编辑:代码已更新使用 scales 包,按照ggplot2 v0.9的要求。)


I have some problems with making a stacked bar chart in ggplot2. I know how to make one with barplot(), but I wanted to use ggplot2 because it's very easy to make the bars have the same height (with 'position = 'fill'', if I'm not mistaken).

My problem is that I have multiple variables that I want to plot on top of each other; my data looks like this:

dfr <- data.frame(
  V1 = c(0.1, 0.2, 0.3),
  V2 = c(0.2, 0.3, 0.2),
  V3 = c(0.3, 0.6, 0.5),
  V4 = c(0.5, 0.1, 0.7),
  row.names = LETTERS[1:3]
)

What I want is a plot with categories A, B, and C on the X axis, and for each of those, the values for V1, V2, V3, and V4 stacked on top of each other on the Y axis. Most graphs that I have seen plot only one variable on the Y axis, but I'm sure that one could do this somehow.

How could I do this with ggplot2? Thanks!

解决方案

First, some data manipulation. Add the category as a variable and melt the data to long format.

dfr$category <- row.names(dfr)
mdfr <- melt(dfr, id.vars = "category")

Now plot, using the variable named variable to determine the fill colour of each bar.

library(scales)
(p <- ggplot(mdfr, aes(category, value, fill = variable)) +
    geom_bar(position = "fill", stat = "identity") +
    scale_y_continuous(labels = percent)
)

(EDIT: Code updated to use scales packages, as required since ggplot2 v0.9.)

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