FakeCS

The <code>FakeCS</code> data frame has 30 rows and 5 sets

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

FakeCS function

A data frame with 30 observations on the following 5 sets.<dl>
 <dt><code>y</code></dt>
<dd>a numeric vector. Outcome with 2 categories (crisp-set).</dd> <dt><code>j</code></dt>
<dd>a numeric vector. Condition with 2 categories (crisp-set).</dd> <dt><code>z</code></dt>
<dd>a numeric vector. Condition with 2 categories (crisp-set).</dd> <dt><code>w</code></dt>
<dd>a numeric vector. Condition with 2 categories (crisp-set).</dd> <dt><code>k</code></dt>
<dd>a numeric vector. Condition with 2 categories (crisp-set).</dd> 
</dl>

Format

Fake crisp-set data — FakeCS

A data frame with 30 observations on the following 5 sets.<dl>
 <dt><code>y</code></dt>
<dd>a numeric vector. Outcome with 2 categories (crisp-set).</dd>

 <dt><code>j</code></dt>
<dd>a numeric vector. Condition with 2 categories (crisp-set).</dd>

 <dt><code>z</code></dt>
<dd>a numeric vector. Condition with 2 categories (crisp-set).</dd>

 <dt><code>w</code></dt>
<dd>a numeric vector. Condition with 2 categories (crisp-set).</dd>

 <dt><code>k</code></dt>
<dd>a numeric vector. Condition with 2 categories (crisp-set).</dd>

 
</dl>

FakeCS: Fake crisp-set data

Description

Usage

Arguments

Format

Details

References

Examples