Hi Greg,
I'm making NoiseGenerators with different noise sources and components, the
meaning of my tests with R is to know which NoiseGenerator approached most
the Normal distribution function...
Thanks, for all the reactions.
Bosken
Greg Snow-2 wrote:
>
>
> Do your NoiseG
Hi,
Thanks for your reaction.
The purpose of my test is to check if my NoiseGenerators really are Normal
Distributed en witch circuit is the best!
So I need some good test to do this.
But what with: Fortune(117) and fortune(234), can't find anything about it..
Thanks for the help!
B
Hi,
Thanks for your reaction;
How do you come to the decision that my data not is normal distributed?
With the 69-95-99.7 test and Q-Q plot seems it ok! But these test are not
exact, they only give you an image.
Gr. Bosken
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understad the output?
lillie.test(z)
Lilliefors (Kolmogorov-Smirnov) normality test
data: z
D = 0.0218, p-value = 0.0278
I read wiki, but still can understand it..
Can anyone, give an explanation of my output D and p-value?
Thanks in advance
Gr. Bosken
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Hi all,
Thank you for the reactions!
It works.
Gr. Bosken
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Hi all,
I take a simple dataset like this:
-1.3
1
-1.5
-1
1.5
-2.5
3
-0.5
Now I want to count how many values there are between -2 and 2.
The answer here would be 6.
Can anyone do this with R?
Thank you in advance.
Gr. Bosken
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