如何从r中的均匀先验分布中找到值的范围？

Question

我在下面编写了一个序列和均匀先验分布图，现在根据均匀先验分布，如何找到 P (0.01 ≤ β ≤ 0.1) 和 P(0.1 ≤ β ≤ 1) 的值？ 谢谢！

beta= seq(0.01,100,0.001)
beta
prior = rep(1/length(beta), length(beta)) 
#assigning equal prior probabilities to each possibility.
plot(beta,prior,
     type="h",
     main="Uniform Prior Distribution")

Answer 1

我认为您正在寻求累积概率。

find_prob <- function(data,prob,start,end) {

    sum(prob[which(data<= end & data>=start)])

}

find_prob(beta,prior,0.01,0.1)

0.0009100819

find_prob(beta,prior,5,100)

0.9500955