Abstract (may include machine translation)
This article presents the functionalities of the R package SetMethods, aimed at performing advanced set-theoretic analyses. This includes functions for performing set-theoretic multi-method research, set-theoretic theory evaluation, Enhanced Standard Analysis, diagnosing the impact of temporal, spatial, or substantive clusterings of the data on the results obtained via Qualitative Comparative Analysis (QCA), indirect calibration, and visualising QCA results via XY plots or radar charts. Each functionality is presented in turn, the conceptual idea and the logic behind the procedure being first summarized, and afterwards illustrated with data from Schneider et al. (2010).
Original language | English |
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Pages (from-to) | 507-533 |
Number of pages | 27 |
Journal | R Journal |
Volume | 10 |
Issue number | 1 |
DOIs | |
State | Published - 1 Jul 2018 |
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Replication Data for 'Ioana-Elena Oana and Carsten Q. Schneider (2018): 'SetMethods: an Add-on R Package for Advanced QCA', The R Journal, 10(1), pp. 507-533
Schneider, C. Q. (Creator), Oana, I.-E. (Creator) & Rohlfing, I. (Creator), Harvard Dataverse, 2019
DOI: 10.7910/dvn/dj75ke, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/DJ75KE
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