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
binned_sumsq(x, mean = rep(0, nbins), bin, nbins = max(bin), ...)# S3 method for default
binned_sumsq(x, mean = rep(0, nbins), bin, nbins = max(bin), ...)
# S3 method for ff
binned_sumsq(x, mean = rep(0, nbins), bin, nbins = max(bin), ...)
numeric vector with the data to be summed squared
numeric vector with an optional mean to be subtracted from the data to be summed and squared
integer vector with the bin number for each observation
integer maximum bin number
will be passed on to the implementation.
numeric matrix where each row is a bin
numeric matrix where each row is a bin
numeric matrix where each row is a bin