堆积面积图Y轴未反映实际数据点 [英] Stacked Area Plot Y-axis not reflecting actual data points

问题描述

我一直在尝试使用ggplot2绘制堆积面积图.我的问题是绘图的y轴无法准确显示 value 的范围.我最大的 value 值是100.

 日期A B C D E2019-12-31 0.0 0.0 0.0 0.0 0.0 0.02019-12-24 0.0 0.0 0.0 0.0 0.0 0.0...2016-12-27 18.09 81.91 40.21 9.70 1.7...2014-01-28 92.11 7.89 0.00 0.00 0.00...2000-01-01 0.0 0.0 0.0 0.0 0.0 

我将数据的格式从宽到长

  long_data< -melt(data，measure.vars = c("A"，"B"，"C"，"D"，"E"))，variable.name =强度") 

绘制的 ggplot(long_data，aes(x =日期，y =值，填充=强度))+ geom_area()我的情节看起来像这样

[堆积面积图] [1][1]:https://i.stack.imgur.com/i5ksF.png我已经在excel中完成了此操作，并且图形相同.我尝试为y轴添加一个限制，但这无济于事.但是，我注意到的一件事是，如果执行 geom_line()，y轴将正确缩放.

解决方案

geom_area的默认值为 position ="stacked" ，而您需要将其设置为 position ="identity" .需要注意的是，您还需要使填充变量成为一个因数，将级别基于y值，否则某些值可能隐藏在更大的值后面.另一种选择是为geom_area设置 alpha = .3

没有数据集，我很难事先进行测试.尝试使用 dput(data)并将输出复制并粘贴到下一个问题

 库(tidyverse)图书馆(forcats)long_data％>％mutate(Intensity = fct_reorder(Intensity，value，.desc = TRUE))％&％;％ggplot(long_data，aes(x =日期，y =值，填充=强度))+geom_area(位置=身份") 

I've been trying to plot a stacked area plot using ggplot2. My problem is that the y-axis of my plot is not accurately showing the range of value. My largest number for value is 100.

  Date          A         B          C         D      E
2019-12-31     0.0       0.0        0.0       0.0    0.0
2019-12-24     0.0       0.0        0.0       0.0    0.0
...
2016-12-27    18.09     81.91      40.21      9.70   1.7
...
2014-01-28    92.11     7.89       0.00       0.00   0.00
...
2000-01-01     0.0       0.0        0.0        0.0    0.0

I formated the data from wide to long

long_data <- melt(data,measure.vars = c("A","B","C","D","E"), variable.name = "Intensity") 

the plottedggplot(long_data,aes(x = Date,y = value,fill = Intensity)) + geom_area() My plot looked like this

[stacked area plot][1] [1]: https://i.stack.imgur.com/i5ksF.png I have done this in excel and the graph is the same. I've tried adding a limit to the y-axis but it doesn't help. But, one thing I noticed is that if I do geom_line() the y-axis is scaled correctly.

解决方案

The geom_area's default is position = "stacked" while you need it to be position = "identity". The caveat here is you need to also make your fill variable a factor, basing the levels on the y value, otherwise some of the values may be hidden behind a bigger value. Another alternative is to set alpha = .3 for geom_area

Without a data set it is hard for me to test beforehand. Try using dput(data) and copy and pasting the output into your next question

library(tidyverse)
library(forcats)

long_data %>%
mutate(Intensity = fct_reorder(Intensity, value, .desc = TRUE)) %>%
ggplot(long_data,aes(x = Date, 
                     y = value,
                     fill = Intensity)) + 
geom_area(position = "identity")

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