Description Usage Arguments Value
View source: R/LG_boot_statistics.R
This function specifies the kind of statistics we want to extract from an array of estimated local Gaussian spectral densities, e.g. either when performing an analysis based upon a bunch of samples from a known distribution, or when bootstrapping is used to find confidence intervals.
1 2  LG_boot_statistics(x, all_statistics = FALSE, log_ = FALSE,
names_only = FALSE)

x 
A vector extracted from the array of values that we want to investigate. 
all_statistics 
A logical value, default 
log_ 
A logic argument with default value 
names_only 

This function can produce quite different outputs depending
on the value names_only
. It will either be a vector
that only gives the dimensionnames (depending on
all_statistics
and log_
) or it might be an
_unnamed_ vector with the computed values. This strategy has
been chosen in order keep the intermediate objects as small as
possible (but I have not tested this to see if there should be
any difference in performance, so it might perhaps be an inane
choice). Anyway, we do need the names of the content if we
should need to split our computation into pieces, since the
chosen solution then requires that we need to create the matrix
the resulting pieces should be inserted into.
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