问题描述
所以,我正在尝试计算隐函数的积分fx01
So, I'm trying to compute the integral of the implicit functionfx01
fx01<-function(y,z0) pnorm(z0+y)-pnorm(z0-y)-0.5
fx11<-function(z0){
uniroot(fx01,interval=c(0,10),z0=z0)$root
}
integrate(fx11,lower=1,upper=1.1)$value
我得到:
Error in uniroot(fx01, interval = c(0, 10), z0 = z0) :
f() values at end points not of opposite sign
In addition: Warning messages:
1: In if (is.na(f.lower)) stop("f.lower = f(lower) is NA") :
the condition has length > 1 and only the first element will be used
2: In if (is.na(f.upper)) stop("f.upper = f(upper) is NA") :
the condition has length > 1 and only the first element will be used
现在,我不明白是什么导致了这些错误:函数 fx01
为所有返回一个有界标量-infty +infty 中 z0
的值(这是标准正态分布),如果检查:
Now, I don't understand what is causing these errors: the function fx01
returns a bounded scalar for all the values of z0
in -infty +infty (it is the standard normal distribution) and if one checks:
interval=c(0,10)
fx01(min(interval),z0=1)
fx01(max(interval),z0=1)
fx01(min(interval),z0=1.1)
fx01(max(interval),z0=1.1)
值是的相反符号.这些错误消息在这种情况下意味着什么?
The values are of opposite sign. What do these error messages mean in this context?
推荐答案
您的 fx11
函数未正确矢量化.试试
Your fx11
function isn't properly vectorized. Try
integrate(Vectorize(fx11),lower=1,upper=1.1)$value
问题在于 integrate
会立即将值向量传递给您尝试集成的函数,它不会单独评估每个点.当 z0
的长度为 1
The problem is that integrate
will pass in a vector of values at once to the function you are trying to integrate, it does not evaluate each point separately. Your function works when z0
is of length one
uniroot(fx01,interval=c(0,10),z0=1)$root
# [1] 1.050555
但不是当它是值向量时
uniroot(fx01,interval=c(0,10),z0=c(1,1.05))$root
# Error in uniroot(fx01, interval = c(0, 10), z0 = c(1, 1.05)) :
# f() values at end points not of opposite sign
# In addition: Warning messages:
# 1: In if (is.na(f.lower)) stop("f.lower = f(lower) is NA") :
# the condition has length > 1 and only the first element will be used
# 2: In if (is.na(f.upper)) stop("f.upper = f(upper) is NA") :
# the condition has length > 1 and only the first element will be used
Vectorize()
函数将分别运行 z0
的每个值.
The Vectorize()
function will run each value of z0
separately.
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