how to generate random data (dichotomous 0-1) with normal distrubition
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Hello, I am a measurement and evaluation student and I want to generate [10000,10] random data with matlab. But these data includes only 0 and 1 and has a normal distrubition. First I used binornd function, but the data I generated did not have normal distrubition. Then I used normrnd function, but the datas I created has decimal points and some of them are negative. Please help me... Beril
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RNTL
2012년 3월 27일
If your set contain only two values, namely [0,1] how can it has normal distribution?
Your set should be defined by a probability function that is nonzero only for those two values, hence it cannot be derived from normal distribution.
답변 (3개)
RNTL
2012년 3월 27일
1 개 추천
If your set contain only two values, namely [0,1] how can it has normal distribution? Your set should be defined by a probability function that is nonzero only for those two values, hence it cannot be derived from normal distribution
Image Analyst
2012년 3월 27일
Maybe you want randi
zerosAndOnes = randi(2, [1 1000]) - 1
but it's not going to be a normal distribution. That's impossible with only two values.
댓글 수: 3
Andrei Bobrov
2012년 3월 27일
Hi Image Analyst! From randi - help: randi - Uniformly distributed pseudorandom integers...
Jonathan Sullivan
2012년 3월 27일
I think when he says "normally" distributed, I think he means *uniformly* distributed. That's my guess.
Image Analyst
2012년 3월 27일
andrei: yep. Jonathan: maybe he wants a random distribution where there are equal numbers of 1's and 0's??? Maybe if those numbers are equal he's calling *that* normal or uniform. Or maybe he just doesn't care anymore and went away. I don't know why Beril is not clearing this up.
Selin Soguksu
2012년 3월 28일
0 개 추천
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Daniel Shub
2012년 3월 28일
This cannot be a normal distribution. If I create a 1e4x30 matrix of 0 or 1, the total will always be an integer between 0 and 30. Are you sure you do not want a binomial distribution? Is the score on item i independent from the score on item j?
카테고리
도움말 센터 및 File Exchange에서 Noncentral t Distribution에 대해 자세히 알아보기
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