R: Compute a weighted sample from initial observations
preProcess
R Documentation
Compute a weighted sample from initial observations
Description
Generates weights from initial sample.
Usage
preProcess(x, xgrid = NULL)
Arguments
x
Vector of independent and identically distributed numbers, not necessarily unique.
xgrid
Parameter that governs the generation of weights: If xgrid = NULL a new sample
of unique observations is generated with corresponding vector of weights. If xgrid is
a positive number, observations are binned in a grid with grid length xgrid.
Finally, an entire vector specifying a user-defined grid can be supplied.
Value
x
Vector of unique and sorted observations deduced from the input x according to the specification
given by xgrid.
w
Vector of corresponding weights, normalized to sum to one.
sig
Standard deviation of the inputed observations. This quantity is needed when computing the smoothed
log-concave density estimator via evaluateLogConDens.
n
Number of initial observations.
Note
This function is not intended to be invoked by the end user.
providing 
.