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SetMethods (version 4.0)

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

Description

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.

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Version

Install

install.packages('SetMethods')

Monthly Downloads

1,441

Version

4.0

License

GPL-2

Maintainer

Ioana-Elena Oana

Last Published

March 31st, 2023

Functions in SetMethods (4.0)

FakeMV

Fake data for mvQCA
PAYF

Paykani et al. (2018)
intersectExp

Intersects two boolean expressions.
LR.intersect

Function for identifying contradictory simplifying assumptions or easy counterfactuals.
JOBF

Fake fuzzy-set job motivation data.
LIPC

Lipset (1959), crisp-set
rob.cases

Function for identifying cases in the intersections between an inital solution and test solutions.
THOF

Thomann (2015)
KAF

Koenig-Archibugi (2004)
SCHF

Schneider et. al. (2010)
SCHLF

Schneider et. al. (2010)
STUR

Fake raw, student data.
VISC

Vis (2009), crisp set data
SC

Selbst, practicing the truth table algorithm data
theory.evaluation

Performs theory evaluation.
stargazerSol

Function for exporting a sufficienct solution from minimize in latex, html, or text format.
PAYR

Paykani et al. (2018)
smmr

Function for performing set-theoretic multi-method research.
FSR

Freitag and Schlicht (2009)
negateExp

Negates a boolean expression.
xy.plot

Function producing enhanced XY plots
LIPF

Lipset (1959), fuzzy-set
FakeCS

Fake crisp-set data
rob.corefit

Function returning parameters of fit for the robust core of different alternative sufficient solutions.
SAMF

Samford (2010)
SetMethods-package

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

Vis (2009), fuzzy set data
LIPR

Lipset (1959), raw data
PENF

Pennings (2003)
rob.singletest

Function returning robustness parameters for each single test solution in TS.
rob.inclrange

Function for identifying the raw consistency threshold range within which the Boolean formula for the solution does not change.
stargazerTT

Function for exporting a sufficienct solution from minimize in latex, html, or text format.
cluster.plot

Function for plotting pooled, between, and within consistencies for a cluster diagnostics.
cluster

Diagnostic tool for clustered data.
esa

Function that performs the Enhanced Standard Analysis.
indirectCalibration

Function performing the indirect calibration
rob.ncutrange

Function for identifying the frequency threshold range within which the Boolean formula for the solution does not change.
rob.fit

Function returning robustness parameters of fit.
ambig.cases

Function for identifying cases with 0.5 fuzzy-set values.
rob.calibrange

Function for identifying the calibration threshold ranges for a condition within which the Boolean formula for the solution does not change.
property.cube

Function producing a 3D scatter plot.
SDC

Selbst, disappearing necessary condition data
BCMV

Berg-Schlosser and Cronqvist (2005)
EMMF

EMMFnegger (2011)
QCAradar

Function for displaying a radar chart.
QCAfit

Function calculating the parameters of fit
STUF

Fake fuzzy-set student data.
pimdata

Function to extract prime implicants table from object of class "qca"
pimplot

Prime implicants, truth table rows, and necessity plots.
rob.xyplot

Function for plotting an initial solution against the test set.
skew.check

Function for checking how skewed sets are.