View source: R/LG_boot_statistics.R
LG_boot_statistics | R Documentation |
This internal 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 pointwise confidence intervals.
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 |
Logical value, default |
This function can produce quite different outputs depending
on the value the names_only
-argument. It will either be
a vector that only gives the dimension-names (depending on
all_statistics
and log_
) or it might be an
_unnamed_ vector with the computed values. The names of the
content is needed in order to figure out if it is necessary to
split the 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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