[R] qqplot for binomial distribution

Boris Steipe boris.steipe at utoronto.ca
Mon Apr 17 15:15:37 CEST 2017


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.graves at 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 at 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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