Moreover, setting the seed once, then evaluating two functions means you are
sampling from the same distributions, but you do in fact have different values.
Outliers in the rarefied tails of the distribution may lie quite considerably
off the expected diagonal. Try
set.seed(123)
qqplot(rbinom(n=1000, size=1000, p=0.05),
rbinom(n=1000, size=1000, p=0.05))
and you will find that you approximate the "1 clear line" quite well - for most
of the values.
B.
> On Apr 17, 2017, at 9:01 AM, Spencer Graves
> <spencer.gra...@effectivedefense.org> wrote:
>
>
>
> On 2017-04-17 7:58 AM, Ashim Kapoor wrote:
>> Dear All,
>>
>> set.seed(123)
>> qqplot(rbinom(n=100,size=100,p=.05), rbinom(n=100,size=100,p=.05) )
>>
>> I expect to see 1 clear line,but I don't. What am I misunderstanding?
>
>
> The distribution is discrete, and points are superimposed. Try the
> following:
>
>
> set.seed(123)
> qqplot(jitter(rbinom(n=100,size=100,p=.05)),
> jitter(rbinom(n=100,size=100,p=.05) ))
>
>
> Spencer Graves
>>
>> Best Regards,
>> Ashim
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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