binned_sumsq: Fast squared summing in different bins

In ffbase: Basic Statistical Functions for Package 'ff'

Description

binned_sum implements fast squared summing for given bins by calling c-code, which can be used to calculate variance and standard deviation Please note that incorrect use of this function may crash your R-session. the values of bins must be in between 1:nbins and bin may not contain NA

Usage

binned_sumsq(x, mean = rep(0, nbins), bin, nbins = max(bin), ...)

## Default S3 method:
binned_sumsq(x, mean = rep(0, nbins), bin, nbins = max(bin), ...)

## S3 method for class 'ff'
binned_sumsq(x, mean = rep(0, nbins), bin, nbins = max(bin), ...)

Arguments

x	numeric vector with the data to be summed squared
mean	numeric vector with an optional mean to be subtracted from the data to be summed and squared
bin	integer vector with the bin number for each observation
nbins	integer maximum bin number
...	will be passed on to the implementation.

Value

numeric matrix where each row is a bin

numeric matrix where each row is a bin

numeric matrix where each row is a bin

ffbase documentation built on Feb. 27, 2021, 5:06 p.m.