如何通过R中的x值缩放直方图上的y轴? [英] How do I scale the y-axis on a histogram by the x values in R?

问题描述

我有一些表示粒子大小的数据.我想将每个合并大小的粒子的频率绘制为直方图，但要缩放频率但要调整粒子的大小(因此它表示该大小的总质量.)

I have some data which represents a sizes of particles. I want to plot the frequency of each binned-size of particles as a histogram, but scale the frequency but the size of the particle (so it represents total mass at that size.)

我可以很好地绘制直方图，但是我不确定如何通过每个bin的X值缩放Y轴.

I can plot a histogram fine, but I am unsure how to scale the Y-axis by the X-value of each bin.

例如如果我在40-60格中有10个粒子，我希望Y轴值为10 * 50 = 500.

e.g. if I have 10 particles in the 40-60 bin, I want the Y-axis value to be 10*50=500.

推荐答案

您最好使用barplot，以便通过垃圾箱的面积表示总质量(即，高度表示计数，宽度表示质量):

You would better use barplot in order to represent the total mass by the area of the bins (i.e. height gives the count, width gives the mass):

sizes <- 3:10   #your sizes    
part.type <- sample(sizes, 1000, replace = T)  #your particle sizes  

count <- table(part.type)  
barplot(count, width = size)  

如果粒径都不同，则应首先将范围切成适当的间隔数，以创建part.type因子:

If your particle sizes are all different, you should first cut the range into appropriate number of intervals in order to create part.type factor:

part <- rchisq(1000, 10)  
part.type <- cut(part, 4)  

count <- table(part.type)  
barplot(count, width = size)  

如果感兴趣的数量仅是总质量.然后，适当的绘图为点图.与大量尺寸的条形图相比，它也更加清晰:

If the quantity of interest is only total mass. Then, the appropriate plot is the dotchart. It is also much clearer comparing to the bar plot for a large number of sizes:

part <- rchisq(1000, 10)
part.type <- cut(part, 20)

count <- table(part.type)
dotchart(count)

用垃圾箱表示总质量会产生误导，因为垃圾箱的面积没有意义.

Representing the total mass with bins would be misleading because the area of the bins is meaningless.

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