Bootstrap Resampling
Generate a dataset from a given dataset using sampling with or without replacement.
randboot(dataset, n, replace = TRUE)
dataset |
a p x m data matrix. |
n |
the number of rows of observations to be included in the new dataset. |
replace |
logical. If replace is TRUE sampling will be with replacement, thus returning a bootstrap replicate. |
This function is a simple shortcut for generating a bootstrap sample. It was originally designed for use within the comparison framework, but can be used as a stand-alone function.
The function returns a new n x m matrix. The default is a bootstrap replicate of the orginal data.
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