Learn R Programming

logcondens (version 2.1.8)

preProcess: Compute a weighted sample from initial observations

Description

Generates weights from initial sample.

Usage

preProcess(x, xgrid = NULL)

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.

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.