Thank you for the amazing response. You are right;I definitely have to
study a bit more. I am just trying to copy the procedure in a paper so
I didn't give it much thought.
for point (a) : yes the data is binned counts; and my aim is to find
out which curve best approximates these counts.
I am go
On 10/14/2015 05:00 AM, r-help-requ...@r-project.org wrote:
I am trying to fit this data to a weibull distribution:
My y variable is:1 1 1 4 7 20 7 14 19 15 18 3 4 1 3 1 1 1
1 1 1 1 1 1
and x variable is:1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
19 20 21 22 23 24
There's a number of issues with this:
(a) your data appear to be binned counts, not measurements along a curve.
(b) The function you are trying to fit is the Weibull _density_ This has
integral 1, by definition, whereas any curve anywhere near your y's would have
integral near sum(y)=127
(c) SSw
Yes. I do.I'm trying to repeat the methodology of a paper. They have fitted
their data to a weibull curve and so I want to do the same too, but I'm
unable to figure out how..
On Wed, Oct 14, 2015, 9:44 AM David Winsemius
wrote:
>
> On Oct 13, 2015, at 2:42 PM, Aditya Bhatia wrote:
>
> > I am try
On Oct 13, 2015, at 2:42 PM, Aditya Bhatia wrote:
> I am trying to fit this data to a weibull distribution:
>
> My y variable is:1 1 1 4 7 20 7 14 19 15 18 3 4 1 3 1 1 1
> 1 1 1 1 1 1
>
> and x variable is:1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
> 19 20 21 22 23 24
I am trying to fit this data to a weibull distribution:
My y variable is:1 1 1 4 7 20 7 14 19 15 18 3 4 1 3 1 1 1
1 1 1 1 1 1
and x variable is:1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
19 20 21 22 23 24
The plot looks like this:http://i.stack.imgur.com/FrIKo.png and
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