
Hello,

 

I was able to bootstrap 1000 times, 20 times (20 columns of 1000 values).  Is there a way to get mean for each column?  

 

Thanks!

 

Aaron



 
> Date: Sat, 16 Jan 2010 00:04:59 +0100
> From: Stephan.Kolassa@gmx.de
> To: aaron.foley@students.tamuk.edu
> CC: r-help@r-project.org
> Subject: Re: [R] bootstrapping
> 
> 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@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
> > 
> > 
> > 
> > 
> > [[alternative HTML version deleted]]
> > 
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> 
 		 	   		  
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