LG_lookup | R Documentation |
This internal function creates a lookup-environment that combines different values from the logged information. The purpose is to collect the results of different minor computations, which is needed in several functions.
LG_lookup(input, .AB_env)
input |
A non-reactive version of the |
.AB_env |
The environment that contains the desired information. |
This function will copy the values from input
, and
supplement those with values extracted from the information
logged in .AB_env
. Assorted logical values are computed
from this, and some minor chunks of derived information is also
created in the initial stage. These will be used later on in
the functions involved in the interactive investigation of the
different plots that can be created from the estimated local
Gaussian correlations. Some additional specialised information
is then added by the help of related lookup
-functions.
An environment will be returned to the workflow, in which there will be a basic component as specified under details, and then there are four lists with specialised information as outlined below:
This part is created by the help of
LG_lookup_restrict
, and it contains the information that
is needed in order to extract the desired local Gaussian auto-
and cross-correlations from the data-structure created by the
scribe-functions.
This part is created by the help of
LG_lookup_cache
, and it contains the unique cache-keys
that enables a primitive caching-procedure to be used in the
interactive LG_shiny
-application.
This part is created by the help of
LG_lookup_details
, and it contains the information that
is needed in order to describe the content of a given plot.
This information will be added as an attribute when a plot is
created in a nonreactive setting, which implies that it is
easily available when a plot is to be included in a
paper/presentation. See LG_explain_plots
for further
details.
This part is created by the help of
LG_lookup_curlicues
, and it contains the details needed
in order to annotate assorted information (curlicues) to the
final plots. A plot-stamp that reveals the content of the plot
will always be present together with information about the
length of the sample and the number of replicates. Additional
information will be added depending on the type of plot, this
can e.g. be details related to the truncation level, the point
of investigation, the bandwidth, the status for the numerical
convergence of the estimates, or the block length used for the
bootstrapping algorithm. See the scripts for examples related
to how the annotated text can adjusted when the plots are
created in a nonreactive setting.
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