[R] bootstrapping for maxium data

[Bert Gunter]

Perhaps it should be mentioned that resampling does not produce a
correct CI for extreme quantiles, so the whole exercise may be
pointless.

Cheers,
Bert

Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374

"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
H. Gilbert Welch




On Wed, May 21, 2014 at 5:24 AM, David Winsemius <dwinsemius at comcast.net> wrote:
> Run the examples in the ?boot help page. Notice that boot needs a function that accepts a dataframe and an index vector.
>
> Sent from my iPhone
>
>> On May 21, 2014, at 1:49 AM, 张以春 <yczhang at nigpas.ac.cn> wrote:
>>
>> Dear friends,
>>
>>
>> I  have a numeric vector composed of 320 numbers.
>>
>>
>> Now, I want to do resample for 10000 times. I want to get maxium number for every trial and get a 10000 maxium numbers.
>>
>>
>> I have tried to use "boot" package such as follows.
>>
>>
>> results<-boot(data=nearshore1,statistic=max,R=10000,stype="w")
>>
>>
>> But, surprising, the results shows that I got 10000 A (A is the maxium number in "nearshore1")
>>
>>
>> It's a puzzle to me. I do not know how to do that. Thank you.
>>
>>
>> Yichun
>>
>>
>>
>>
>>
>>
>>
>>    [[alternative HTML version deleted]]
>>
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>
> ______________________________________________
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.