create.sub.objects

Requires a list with named vectors as [datsteps()] will
hand to the function.

internal

Converting date ranges into dating 'steps' eases the
visualization of changes in e.g. pottery consumption, style and other
variables over time. This package provides tools to process and
prepare data for visualization and employs the concept of aoristic
analysis.

Lisa Steinmann

datplot

Preparation of Object Dating Ranges for Density Plots (Aoristic
Analysis)

Barbora Weissova

create.sub.objects function

<dl><dt>DAT_list</dt>
<dd>a list as prepared by [datsteps()]</dd>
<dt>stepsize</dt>
<dd>numeric, default is 1. Number of years that should be used
as an interval for creating dating steps.</dd>
<dt>calc</dt>
<dd>method of calculation to use;
can be either one of "weight" (default) or "probability":
 * "weight": use the
 [published original calculation](https://doi.org/10.1017/aap.2021.8)
 for weights,
 * "probability": calculate year-wise probability instead (only reasonable
 when `stepsize = 1`)</dd>
<dt>cumulative</dt>
<dd>FALSE (default), TRUE: add a column containing the
cumulative probability for each object (only reasonable when `stepsize = 1`,
and will automatically use probability calculation)</dd></dl>

Arguments

Create sub-objects for each object in a dataframe (internal) — create.sub.objects

<dl>

<dt>DAT_list</dt>
<dd>a list as prepared by [datsteps()]</dd>


<dt>stepsize</dt>
<dd>numeric, default is 1. Number of years that should be used
as an interval for creating dating steps.</dd>


<dt>calc</dt>
<dd>method of calculation to use;
can be either one of "weight" (default) or "probability":
 * "weight": use the
 [published original calculation](https://doi.org/10.1017/aap.2021.8)
 for weights,
 * "probability": calculate year-wise probability instead (only reasonable
 when `stepsize = 1`)</dd>


<dt>cumulative</dt>
<dd>FALSE (default), TRUE: add a column containing the
cumulative probability for each object (only reasonable when `stepsize = 1`,
and will automatically use probability calculation)</dd>

</dl>

create.sub.objects: Create sub-objects for each object in a dataframe (internal)

Description

Usage

Value

Arguments