ggplot2堆积的条形图，其中每个值都是一个组/颜色 [英] ggplot2 stacked bar graph in which every value is a group/color

问题描述

这是我的第一篇文章，我是新手，我很抱歉，如果我的帖子不干净，或者我没有找到足够的答案。

我试图用ggplot2绘制一个堆积的条形图并且几乎在那里。这是我到目前为止。我有一个数据集有2列（长度和计数）。我已将它附加到此帖子。我读过它并将其绘制为这样：

 示例<  -  read.delim（example.txt，sep， ）
 ggplot（data = example，aes（x = Length，y = Count，fill = Count））+ geom_bar（stat =identity）
  

这给我的图是Fig1A

然而，我正在寻找的是， Count列被赋予它自己的颜色。它应该看起来像图1B（Excel示例）：我试图按照我将它绘制在Excel中的方式绘制它（图1C），但不能复制这种类型的用ggplot2绘图，我无法让我的data.frame适合这种布局。

ggplot自动选择渐变色标，但您可以使用一个不同的调色板或每个因素的手动颜色列表。例如，您可以通过调用以下选项为数据集中的每个级别选择随机颜色：

 颜色<  -  sample（colors（ ），长度（水平（因子（示例$ Count））））
  

  + scale_fill_manual（values = colors）
  

给出类似于此的内容：
< img src =https://i.stack.imgur.com/jhBm2.pngalt =randcolor>

或者，您可以选择遵循R的内置颜色代码。尝试运行

 颜色（）
  

，您将获得可用颜色的完整列表。您可以根据需要手动挑选，也可以选择前n个元素，其中n等于您的级别数量。

 颜色<  -  colors（）[seq（1，length（levels（factor（example $ Count））），by = 1）] 
  

并遵循上述步骤。这一贯给这张图：

< img src =https://i.stack.imgur.com/DHti8.pngalt =fixed>

this is my first post and I am new to coding, I apologise if my post is not clean or I havent looked for answers enough.

I am trying to plot a stacked bar graph with ggplot2 and am almost there. Here is what I have so far. I have a data set with 2 columns (Length and Count). I have attached it to this post. I read it and plot it like this:

example <- read.delim("example.txt", sep",")
ggplot(data=example, aes(x=Length, y=Count, fill=Count))+geom_bar(stat="identity")

The graph this gives me is Fig1A

What I am looking for, however, is that every value in the column "Count" is given its own color. It should look like Fig1B (Excel example):

I tried to plot it the way I would plot it in Excel (Fig1C) but was not able to replicate this kind of plot with ggplot2, I wasnt able to have my data.frame fit this kind of layout.

Example file (example.txt

Thank you

解决方案

Try using the column count as a factor, rather than the column itsself.

ggplot(data=example, aes(x=Length, y=Count, fill=factor(Count)))+geom_bar(stat="identity")

returns

ggplot automatically chooses a gradient color scale, but you can change it with a different color palette or a manual list of colors for each factor. For example, you can choose a random color for each level in your dataset by calling:

colors <- sample(colours(),length(levels(factor(example$Count))))

and adding this to your plot

+ scale_fill_manual(values = colors) 

which gives something similar to this:

alternatively, you can choose to follow R's built in color codes. Try running

colours()

and you will get a full list of available colors. You can hand pick as many as you need or you can select the first n elements, with n equal to your amount of levels

colors <- colours()[seq(1,length(levels(factor(example$Count))),by=1)]

and following the above procedure. That consistently gives this graph:

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