generate_term_level_chart

Creates a configuration chart where each column represents a single
prime implicant (configuration), following Fiss (2011) notation.

internal

Provides threshold sweep methods for Qualitative Comparative
Analysis (QCA). Implements Condition Threshold Sweep-Single (CTS-S),
Condition Threshold Sweep-Multiple (CTS-M), Outcome Threshold Sweep (OTS),
and Dual Threshold Sweep (DTS) for systematic exploration of threshold
calibration effects on crisp-set QCA results. These methods extend
traditional robustness approaches by treating threshold variation as an
exploratory tool for discovering causal structures. Built on top of the
'QCA' package by Dusa (2019) <doi:10.1007/978-3-319-75668-4>, with function
arguments following 'QCA' conventions. Based on set-theoretic methods by
Ragin (2008) <doi:10.7208/chicago/9780226702797.001.0001> and established
robustness protocols by Rubinson et al. (2019)
<doi:10.1177/00491241211036158>.

Yuki Toyoda

TSQCA

Threshold Sweep Extensions for Qualitative Comparative Analysis

Japan Society for the Promotion of Science 

generate_term_level_chart function

<dl><dt>sum_df</dt>
<dd>Data frame. Summary data frame from sweep results with
expression column and threshold column(s).</dd>
<dt>conditions</dt>
<dd>Character vector. Condition names for row ordering.</dd>
<dt>symbols</dt>
<dd>List. Symbol set (present, absent) for the chart.</dd>
<dt>language</dt>
<dd>Character. Language for labels ("en" or "ja").</dd></dl>

Arguments

Generate solution-term level chart (Fiss-style) — generate_term_level_chart

<dl>

<dt>sum_df</dt>
<dd>Data frame. Summary data frame from sweep results with
expression column and threshold column(s).</dd>


<dt>conditions</dt>
<dd>Character vector. Condition names for row ordering.</dd>


<dt>symbols</dt>
<dd>List. Symbol set (present, absent) for the chart.</dd>


<dt>language</dt>
<dd>Character. Language for labels ("en" or "ja").</dd>

</dl>

generate_term_level_chart: Generate solution-term level chart (Fiss-style)

Description

Usage

Value

Arguments