R中累加和的向量 [英] Vector of cumulative sums in R

问题描述

我正在尝试获得一个累加和的向量，也就是说，我有:

I'm trying to get a vector of cumulative sums, that is, I have:

    # 500 Samples from the U(0,1) Distribution
U<-runif(500,0,1)

# Empty Vector of length 500
F<-rep(0,500)

# Fill the vector with f(U(k))
for ( i in 1:500 ){
  F[i] <- sqrt(1-U[i]^2)
}

# Another Empty Vector of length 500
I<-rep(0,500)

# Fill the second empty vector with the sums of F
for ( i in 1:500 ){
  I[i]<-cumsum(F[1]:F[i])
}

最后一行代码是问题，我希望'I'是一个向量，使得I [1] = F [1]，I [n] = F [1] + F [2] +.... + F [n].出于某些原因，cumsum函数无法正常工作.尝试这样做有什么问题?

The last line of code is the problem, I want 'I' to be a vector such that I[1] = F[1], I[n] = F[1] + F[2] +.....+ F[n]. The cumsum function doesn't work for this for some reason. What is wrong with trying to do it like this ?

推荐答案

如果我有误解，请纠正我，但我相信你只是想要这样做:

Please correct me if I'm misunderstanding, but I believe you simply want this:

I <- cumsum(sqrt(1 - U^2))

目前尚不清楚为什么要对循环使用.

It is unclear why you want to use for loops.

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