ffbase: binned_sumsq – R documentation

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binned_sumsq

Fast squared summing in different bins

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

ffbase

Basic Statistical Functions for Package 'ff'

v0.13.3

GPL-3

Authors

Edwin de Jonge, Jan Wijffels, Jan van der Laan

Initial release