STUF

Fake fuzzy-set football practice data used for Chapter 4 of the Oana et al. (forthcoming) book.

datasets

Functions for performing set-theoretic multi-method research, QCA for clustered data, theory evaluation, Enhanced Standard Analysis, indirect calibration, radar visualisations. Additionally it includes data to replicate the 	examples in the books by Oana, I.E, C. Q. Schneider, and E. Thomann. Qualitative Comparative Analysis (QCA) using R: A Beginner's Guide. Cambridge University Press and C. Q. Schneider and C. Wagemann "Set Theoretic Methods for the Social Sciences", Cambridge University Press.

Ioana-Elena Oana

SetMethods

Functions for Set-Theoretic Multi-Method Research and Advanced
QCA

STUF function

A data frame with 17 observations on the following 3 variables. Conditions for arriving in time for football practice.<dl>
 <dt><code>A</code></dt>
<dd>Condition: Live close by</dd> <dt><code>B</code></dt>
<dd>Condition: Arrive by bike</dd> <dt><code>C</code></dt>
<dd>Condition: Come from punctual familie</dd> <dt><code>D</code></dt>
<dd>Condition: Are seasoned players</dd> <dt><code>E</code></dt>
<dd>Condition: Goalkeepers</dd> <dt><code>Y</code></dt>
<dd>Outcome: Arrive on time for football practice</dd> 
</dl>

Format

Fake fuzzy-set student data. — STUF

A data frame with 17 observations on the following 3 variables. Conditions for arriving in time for football practice.<dl>
 <dt><code>A</code></dt>
<dd>Condition: Live close by</dd>

 <dt><code>B</code></dt>
<dd>Condition: Arrive by bike</dd>

 <dt><code>C</code></dt>
<dd>Condition: Come from punctual familie</dd>

 <dt><code>D</code></dt>
<dd>Condition: Are seasoned players</dd>

 <dt><code>E</code></dt>
<dd>Condition: Goalkeepers</dd>

 <dt><code>Y</code></dt>
<dd>Outcome: Arrive on time for football practice</dd>

 
</dl>

STUF: Fake fuzzy-set student data.

Description

Usage

Arguments

Format

References

Examples