Good Evening R Community:

I believe I understand the basics of using the boot() bootstrap resampling function in the boot() package. I have not had any trouble creating a boot.object to which I apply the boot.ci() function to calculate one or all of the available confidence intervals. 

What I am not sure about is if this set of functions can generate more than one confidence interval of one or all of the types available. 

I have a large data set (n=133,456) data set from which I would like to remove random samples of different sizes and then calculate 95% confidence intervals for the mean, 10% trimmed mean and median. I would like to determine how often the confidence intervals generated by boot.ci() contain the mean, 10% trimmed mean and median of the large data set.

I have looked at some examples for using the boot() and boot.ci() functions to generate confidence intervals for the intercept and predictive variables from a regression model, but I do not, or cannot I suppose, determine how I can generate more than one set of normal, basic, percentile and BCa confidence intervals using these two functions.

I am running R version 2.9.2 on an IBM T61 laptop. My OS is Win XP professional SP 3, and the machine has a 1.99 GHz processor with 2.99 GB of RAM. The version of the boot() package I am running is 1.2-41.

Thanks in advance for taking the time to help me.

Adam


      
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