Hi,
Well, i need some help, practical and theoretical. I am wondering why the
fitdistplus (mle function) is returning an error for this code:
[code]
x1 - c(100,200,140,98,97,56,42,10,2,2,1,4,3,2,12,3,1,1,1,1,0,0);
plotdist(x1);
descdist(x1, boot =1000);
y- sum(x1);
d= as.vector(length(x1));
This is a theoretical issue. It is impossible for beta-distributed values to
take the value of 0 or 1. Hence, an attempt to fit a beta distribution to a
vector containing these values fails.
HTH,
Daniel
baxy77 wrote:
Hi,
Well, i need some help, practical and theoretical. I am wondering
This is not very confusing. It is the exact same error in the sense that this
time the values of x1 are not only outside the interval (0-1) but within
[0-1] as in your first example, but this time they are also outside [0-1].
The reason is that you did not divide x1 by sum(x1) this time. In other
On a point of information, the beta distribution is indeed
defined for x = 0 and, respectively, for x = 1 so long as
the parameters a=shape1 and b=shape2 are respectively
not less than 1:
dbeta(x,a,b) = (x^(a-1))*((1-x)^(b-1))/Beta(a,b)
When a=1 and b=1 we have the uniform distribution on
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