[R] Bootstrapping in R

[Bryan Mac]

Hi,

I have read the help page and it was helpful but, I am having concerns because each time I run this code I get the same value. 
I expected that each time I run the code, I will get different values due to random sampling.

How do I get this randomization? The values shouldn’t be the same each time the code is run, correct? 


result <- boot(n_data, statistic = DataSummary, R = 100).


Best,

Bryan Mac
bryanmac.24 at gmail.com



> On Sep 29, 2016, at 12:16 PM, ruipbarradas at sapo.pt wrote:
> 
> Hello,
> 
> Read the help page ?boot::boot.
> For instance, try the following.
> 
> 
> library(boot)
> 
> x <- rnorm(100)
> stat <- function(x, f) mean(x[f])
> boot(x, stat, R = 100)
> 
> Hope this helps,
> 
> Rui Barradas
> 
> 
> 
> Citando bryan.mac24 <bryan.mac24 at gmail.com>:
> 
>> Hi all,
>> I am wondering how to conduct bootstrapping in R. I need bootstrap 100 times. The trick I need to figure out is how to do get a random sample of 100 out of the total number of case.
>> Best,
>> BM
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>> 
>> ______________________________________________
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>> and provide commented, minimal, self-contained, reproducible code.
> 
> 
> 


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