fixed the issue. Will look into that further I would like to generate a normal distribution with a mean of 120 and a standard deviation of 20. But I need to limit the values to [0, 150]. What should I do? , Instead of a while loop, you can use a recursion approach: foo = function(n, m, v, up, down)
{
if(n==0) return(numeric(n))
vec = Filter(function(x) x>=down & x<=up, rnorm(n, m, v))
c(vec, foo(nlength(vec), m, v, up, down))
}
result = foo(1000, 120, 20, 150, 0)
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Find a python transformation function or numpy matrix to transform skewed normal distribution to normal distribution
Tag : python , By : snapshooter
Date : March 29 2020, 07:55 AM
this one helps. I've done one of 2 things: Use boxcox transformations. This requires you find the appropriate power or lambda that transforms you data to having zero skew. Force a normal distribution. from scipy.stats import norm
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Normal 2.114051e15
dtype: float64

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Tag : r , By : Nick Coats
Date : March 29 2020, 07:55 AM
seems to work fine In relation to your first question, as mentioned by @Glen_b, you could use e.g.: cont_norm < function(n, # number of samples
mu = 0, # only one mu since the mean is the same for both distributions.
sd1 = 1, # sd of the first distr
sd2 = 102, # sd of the second distr
prob = 0.1 # contamination proportion
){
s < sample(c(sd1, sd2), n, replace = T, prob = c(1  prob, prob))
rnorm(n, mean = mu, sd = s)}
cont_norm(100, mu = 0, sd1 = 1, sd2 = 102, prob = 0.1)

Limits involving the cumulative distribution function of a normal variable
Tag : python , By : Robert Daniel Pickar
Date : March 29 2020, 07:55 AM
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series(func, x, 0, 1).removeO()

Generate numbers from normal distribution
Tag : r , By : thatotherguy
Date : March 29 2020, 07:55 AM
This might help you I know that if I want to generate for example 120 numbers from normal distribution with mean 30 and standard deviation 20 i can do it by command : , As proposed by @duckmayr replicate(100, rnorm(120, 30, 20), simplify = TRUE) # if you want to generate a matrix
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How to generate a Cumulative Normal Distribution in PHP
Date : March 29 2020, 07:55 AM

