将R ggplot中的直方图中的y轴归一化为比例 [英] Normalizing y-axis in histograms in R ggplot to proportion
问题描述
我想缩放我的直方图的y轴以反映比例(0到1),而不是使条的面积总和为1,因为使用y = .. density .. does或最高的bar为1,因为y = .. ncount ..
我的输入是一个名称和值的列表,格式如下:
名称值
A 0.0000354
B 0.00768
C 0.00309
D 0.000123
我的失败尝试之一:
library(ggplot2)
mydataframe< ; read.delim(mydata)
ggplot(mydataframe,aes(x = value))+
geom_histogram(aes(x = value,y = .. density ..))
这给了我一个直方图,区域为1,但是高度为2000和1000:
和y = .. ncount ..给我一个柱状图,最高的柱状图为1.0,并按比例缩放:
但我希望第一个栏的高度为0.5,另外两个为0.25。
R无法识别scale_y_continuous的这些用法。
scale_y_continuous (formatter =percent)
scale_y_continuous(labels = percent)
scale_y_continuous(expand = c(1 /(nrow(mydataframe)-1),0)
感谢您的任何帮助。
。 .count ..
是非缩放bin数。 ggplot(mydataframe,aes(x =值))+
geom_histogram(aes(y = .. count ../ sum(.. count ..)))
给出:
I have a very simple question causing me to bang my head on the wall.
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.
My input is a list of names and values, formatted like so:
name value
A 0.0000354
B 0.00768
C 0.00309
D 0.000123
One of my failed attempts:
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:
and y=..ncount.. gives me a histogram with highest bar 1.0, and rest scaled to it:
but I would like to have the first bar have a height of 0.5, and the other two 0.25.
R does not recognize these uses of scale_y_continuous either.
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.
Note that ..ncount..
rescales to a maximum of 1.0, while ..count..
is the non scaled bin count.
ggplot(mydataframe, aes(x=value)) +
geom_histogram(aes(y=..count../sum(..count..)))
Which gives:
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