pairs.boot is used to bootstrap a statistic which operates on
two samples and returns a single value. An example of such a
statistic is the correlation coefficient (i.e. cor).
Resampling is done pairwise, so x and y must have the
same length (and be ordered correctly). One can alternatively pass a
two-column matrix to x.
Usage
pairs_boot(x, y = NULL, FUN, R, student = FALSE, M, weights = NULL, ...)
Arguments
x
Either a vector of numbers representing the first sample or a
two column matrix containing both samples.
y
If NULL it is assumed that x is a two-column matrix.
Otherwise, y is the second sample.
FUN
The statistic to bootstrap. If x and y are
separate vectors then FUN should operate on separate
vectors. Similarly, if x is a matrix, then FUN should
operate on two-column matrices. FUN can be either a quoted
string or a function name.
R
The number of bootstrap replicates.
student
Should we do a studentized bootstrap? This requires a
double bootstrap so it might take longer.
M
If student is set to TRUE, then M is the
number of internal bootstrap replications to do.
weights
Resampling weights.
...
Other (named) arguments that should be passed to FUN.
Value
An object of class "simpleboot", which is almost identical to the
regular "boot" object. For example, the boot.ci
function can be used on this object.