weighted_tabulate: Compute weighted tabulations

In reservr: Fit Distributions and Neural Networks to Censored and Truncated Data

Compute weighted tabulations

Description

Computes the sum of w grouped by bin. If w is missing the result is equivalent to tabulate(bin, nbins)

Usage

weighted_tabulate(bin, w, nbins = max(1L, bin, na.rm = TRUE))

Arguments

bin	An integer vector with values from 1L to nbins
w	Weights per entry in bin.
nbins	Number of bins

Value

A vector with length nbins where the ith result is equal to sum(w[bin == i]) or sum(bin == i) if w is missing. For integer weights, this is equivalent to tabulate(rep(bin, w), nbins).

See Also

Other weighted statistics: weighted_moments(), weighted_quantile()

Examples

weighted_tabulate(c(1, 1, 2))
weighted_tabulate(c(1, 1, 2), nbins = 3L)
weighted_tabulate(c(1, 1, 2), w = c(0.5, 0.5, 1), nbins = 3L)

reservr documentation built on June 24, 2024, 5:10 p.m.