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