[R] bootstrapping

[Stephan Kolassa]

Hi Aaron,

try the argument "statistic=mean". Then boot() will give you the mean 
turn angle in your actual data (which appears to be 6 degrees, judging 
from what you write), as well as the means of the bootstrapped data. 
Then you can get (nonparametric) bootstrap CIs by 
quantile(boot$t,probs=c(.025,.975)). As far as I can see, there is 
really no need to look at sd().

A more interesting question would be how to deal with the fact that 
-180=+180, there may be something to think about here...

HTH,
Stephan


aaron.foley at students.tamuk.edu schrieb:
> Hi All,
> 
>  
> 
> I'm new to R so please bear with me.  I have a dataset with 337 turn angles ranging from -180 to 180 degrees.  I need to bootstrap (sample with replacement) 1,000 times to create expected average turn angle with 95% CIs.  The code is pretty straightforward (<-boot(data =, statistic = ,R =)) but I am unsure how to input my observed mean (6 degrees) and standard deviation (66 degrees) into the statistic component.   I realize there is a 'function' code but I can't seem to carry the results over to the 'boot' code.
> 
>  
> 
> Thanks,
> 
> Aaron M. Foley
> PhD Candidate
> Caesar Kleberg Wildlife Research Institute
> Texas A&M University - Kingsville
> Cousins Hall, Room 201
> Kingsville, TX 78363
> 
> 
> 
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