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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