[英]Normalizing y-axis in histograms in R ggplot to proportion
I have a very simple question causing me to bang my head on the wall.我有一个非常简单的问题,让我把头撞在墙上。
I would like to scale the y-axis of my histogram to reflect the proportion (0 to 1) that each bin makes up, instead of having the area of the bars sum to 1, as using y=..density.. does, or having the highest bar be 1, as y=..ncount.. does.我想缩放直方图的 y 轴以反映每个 bin 组成的比例(0 到 1),而不是像使用 y=..density.. 那样将条形的面积总和为 1,或者最高条为 1,就像 y=..ncount.. 一样。
My input is a list of names and values, formatted like so:我的输入是名称和值的列表,格式如下:
name value
A 0.0000354
B 0.00768
C 0.00309
D 0.000123
One of my failed attempts:我失败的尝试之一:
library(ggplot2)
mydataframe < read.delim(mydata)
ggplot(mydataframe, aes(x = value)) +
geom_histogram(aes(x=value,y=..density..))
This gives me a histogram with area 1, but heights of 2000 and 1000:这给了我一个面积为 1,但高度为 2000 和 1000 的直方图:
and y=..ncount.. gives me a histogram with highest bar 1.0, and rest scaled to it:和 y=..ncount.. 给了我一个最高条形图 1.0 的直方图,其余的缩放到它:
but I would like to have the first bar have a height of 0.5, and the other two 0.25.但我希望第一个条的高度为 0.5,另外两个条的高度为 0.25。
R does not recognize these uses of scale_y_continuous either. R 也不识别 scale_y_continuous 的这些用途。
scale_y_continuous(formatter="percent")
scale_y_continuous(labels = percent)
scale_y_continuous(expand=c(1/(nrow(mydataframe)-1),0)
Thank you for any help.感谢您的任何帮助。
Note that ..ncount..
rescales to a maximum of 1.0, while ..count..
is the non scaled bin count.请注意,
..ncount..
..count..
缩放到最大值 1.0,而..count..
是未缩放的 bin 计数。
ggplot(mydataframe, aes(x=value)) +
geom_histogram(aes(y=..count../sum(..count..)))
Which gives:这使:
As of the latest and greatest ggplot2 version 3.0.0, the format has changed.从最新最好的 ggplot2 版本 3.0.0 开始,格式已经改变。 Now you can wrap the
y
value in stat()
rather than messing with ..
stuff.现在您可以将
y
值包装在stat()
而不是搞乱..
东西。
ggplot(mydataframe, aes(x = value)) +
geom_histogram(aes(y = stat(count / sum(count))))
As of ggplot2 0.9, many of the formatter functions have been moved to the scales package, including percent_format()
.从 ggplot2 0.9 开始,许多格式化程序功能已移至 scales 包,包括
percent_format()
。
library(ggplot2)
library(scales)
mydataframe <- data.frame(name = c("A", "B", "C", "D"),
value = c(0.0000354, 0.00768, 0.00309, 0.000123))
ggplot(mydataframe) +
geom_histogram(aes(x = value, y = ..ncount..)) +
scale_y_continuous(labels = percent_format())
I just wanted to scale the axis, to divide the y-axis by 1000, so I did:我只是想缩放轴,将 y 轴除以 1000,所以我做了:
ggplot(mydataframe, aes(x=value)) +
geom_histogram(aes(y=..count../1000))
Summarizing the above answers:总结以上答案:
library(tidyverse)
mydataframe <- data.frame(name = c("A", "B", "C", "D"),
value = c(0.0000354, 0.00768, 0.00309, 0.000123))
ggplot(mydataframe, aes(x = value)) +
geom_histogram(aes(y = stat(count / sum(count)))) +
scale_y_continuous(labels = scales::percent_format()) +
labs(x="", y="")
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