generating random variable between 0 and 1 with probabilities
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Hi all,
I have two questions please:
1) how do i generate a random number either 0 or 1 with equal chances of accept and reject 50-50 chance?
2) how do i generate a random number either 0 or 1 with percent shift in probablity in order to accept "bias' between -0.5 and 0.5
if percent shift=0 then 50-50 chance of accept
if percent shift=0.1 then 60% accept - 40% reject
if percent shift=0.2 then 70% accept - 30% reject
if percent shift=0.3 then 80% accept - 20% reject
if percent shift=0.4 then 90% accept - 20% reject
if percent shift=0.5 then 100% accept - 0% reject
if percent shift=-0.1 then 40% accept - 60% reject
if percent shift=-0.2 then 30% accept - 70% reject
if percent shift=-0.3 then 20% accept - 80% reject
if percent shiftt=-0.4 then 10% accept - 90% reject
if percent shift=-0.5 then 0% accept - 100% reject
Thanks!
2 个评论
采纳的回答
Walter Roberson
2019-3-10
rand() < (percent_shift + 0.5)
5 个评论
Walter Roberson
2019-3-10
The assignment to i before the function definition is in a different workspace than the function uses. Inside your function, both i (lower-case I) and l (lower-case L) are undefined. You also switch back and forth between using i or l as the subscript.
You assign a value to choice_ in the case of bias 0.5 but you never use that variable.
You only assign a value to the output variable choice_1 in the case that the input bias is -0.5
You try to test 0.5 and -0.5 for equality using = as the comparison operator, but = is only ever assignment (except some cases having to do with older versions of the symbolic toolbox.) == is the comparison test.
You input customer_1 but you never use it.
You use choice_1 to pass a size argument to rand() but you have not defined choice_1 by that point.
It is not clear what your intended output is. Is it the random variable such as 0.013433807 ? Is it 0.0 or 0.1 (double precision numbers) ? Is it uint8(0) or uint8(1) ? Is it false or true (logical values) ?
Why are you indexing bias? Are you expecting it to be a vector of values?
Each of your cases appears to have the same action except for 0.5 and -0.5 . Why not just test those two specifically, like
if bias(i) == 0.5
choice_ = 1;
elseif bias(i) == -0.5
choice_1 = 0;
else
rand(choice_1) < (bias(i) + 0.5)
end
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