[英]How to reuse my kernel density estimation function in R?
I use density()
to do KDE ,like 我用
density()
做KDE ,就像
#Rscript#
x <- c(rep(1,3),rep(2,4),rep(3,5))
density(x)
Am I suppose to get a probability density function? 我想得到一个概率密度函数吗? If so, How do I reuse it to obtain the probability of 1 value eg what is the probability of x<=2 P(x<=2) under my KDE function?
如果是这样,我该如何重用它以获得1值的概率,例如,在我的KDE函数下x <= 2 P(x <= 2)的概率是多少?
Tanks for sharing your idea! 分享您的想法的坦克!
Because density() gives you the continous KDE, the probability of an exact value is zero. 由于density()为您提供连续的KDE,因此精确值的可能性为零。 You can only get some information like P(x <= 1).
您只能得到一些信息,例如P(x <= 1)。 In your case hist() should be the correct selection.
在您的情况下,hist()应该是正确的选择。
EDIT: Please have a look here 编辑:请在这里看看
https://stats.stackexchange.com/questions/78711/how-to-find-estimate-probability-density-function-from-density-function-in-r https://stats.stackexchange.com/questions/78711/how-to-find-estimate-probability-density-function-from-density-function-in-r
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