R - geom_density()使用什么算法以及如何提取曲线的点/方程? [英] R - What algorithm does geom_density() use and how to extract points/equation of curves?
问题描述
我想知道什么是geom_density()正好在做什么,所以我证明了图的正确性,以及是否有任何方式来提取函数或为绘制的每条曲线生成的点。
感谢
输入 compute_group,ggplot2 :: StatDensity)
(或者,以前, get(calculate,ggplot2 ::: StatDensity)
)会让你用于计算密度的算法。 (在根目录下,这是对 density()
的调用,并且 kernel =gaussian
默认值)。
图中使用的点无形性地由 print.ggplot()
返回,因此您可以像这样访问它们:
library(ggplot2)
m < - ggplot(aes(x = rating))
m< ; - m + geom_density()
p < - print(m)
头(p $ data [[1]],3)
#yx密度缩放计数PANEL组ymin ymax
#1 0.0073761 1.0000 0.0073761 0.025917 433.63 1 1 0 0.0073761
#2 0.0076527 1.0176 0.0076527 0.026888 449.88 1 1 0 0.0076527
#3 0.0078726 1.0352 0.0078726 0.027661 462.81 1 1 0 0.0078726
##为了表明这些是你之后的点,
##提取并使用它们来创建一个格xyplot
库(gridExtra)
库(格)
mm < - xyplot(y〜x,data = p $ data [[1]],type =l)
I would like to know what is geom_density() exactly doing, so I justify the graph and if there is any way of extracting the function or points that generates for each of the curves being plotted.
Thanks
Typing get("compute_group", ggplot2::StatDensity)
(or, formerly, get("calculate", ggplot2:::StatDensity)
) will get you the algorithm used to calculate the density. (At root, it's a call to density()
with kernel="gaussian"
the default.)
The points used in the plot are invisibly returned by print.ggplot()
, so you can access them like this:
library(ggplot2)
m <- ggplot(movies, aes(x = rating))
m <- m + geom_density()
p <- print(m)
head(p$data[[1]], 3)
# y x density scaled count PANEL group ymin ymax
# 1 0.0073761 1.0000 0.0073761 0.025917 433.63 1 1 0 0.0073761
# 2 0.0076527 1.0176 0.0076527 0.026888 449.88 1 1 0 0.0076527
# 3 0.0078726 1.0352 0.0078726 0.027661 462.81 1 1 0 0.0078726
## Just to show that those are the points you are after,
## extract and use them to create a lattice xyplot
library(gridExtra)
library(lattice)
mm <- xyplot(y ~x, data=p$data[[1]], type="l")
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