On 9/30/2016 6:44 PM, Bryan Mac wrote:
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...@gmail.com



On Sep 29, 2016, at 12:16 PM, ruipbarra...@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.ma...@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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Bryan,

You haven't told us anything about the structure of your data, or the definition of the DataSummary function. We are left to guess what you are doing. The posting guide calls for a reproducible example. At a minimum give us some sample data (myabe use dput()), the definition of DataSummary, the code you use to set up and call the boot() funtion, and examples of your output that shows you "getting the same answer."

Someone may then be able to do more than guess at what the problem is.

Dan

--
Daniel Nordlund
Port Townsend, WA  USA

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