Getting NaN using normcdf with array inputs
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I want to get two arrays of data using normcdf, each with its own sigma. So (in both R2019a and R2018a) I tried something like
normcdf((-1:1)',0,[0.5,0.2])
which is supposed to output a 3*2 matrix whose columns contain the data corresponding to the same sigma, right? However, what I got is
>> normcdf((-1:1)',0,[.5,.2])
ans =
0.0228 NaN
0.5000 NaN
NaN NaN
It works perfectly if I just have one parameter being an array. Am I using normcdf in a wrong way? Thank you for any suggestions.
采纳的回答
Walter Roberson
2019-5-3
0 个投票
If one or more of the input arguments x, mu, and sigma are arrays, then the array sizes must be the same.
Your x is 3 x 1, your sigma is 1 x 2. You are violating the array size compatibility rule.
You need to repmat your sigma to has as many rows as x has.
2 个评论
Weiqing Xu
2019-5-3
Walter Roberson
2019-5-3
编辑：Walter Roberson
2019-5-3
normcdf handles special cases around sigma == 0. Then it extracts the remaining cases to handle. However, when it extracts the remaining cases, it does so according to the size of sigma, not according to the size of what sigma implicitly expanded with x would be. (Furthermore, the special cases it does for sigma also rely on the size of sigma, not the implicitly expanded size.)
normpdf only boundary checks sigma <= 0, which triggers NaN output. The rest of the calculation happens to be done in a way that supports implicit expansion.
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