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SetMethods (version 4.0)

SDC: Selbst, disappearing necessary condition data

Description

The SDC data frame has 98 rows and 4 sets

Usage

data(SDC)

Arguments

Format

A data frame with 98 observations on the following 4 sets.

A

a numeric vector. Condition, crisp-set.

B

a numeric vector. Condition, crisp-set.

C

a numeric vector. Condition, crisp-set.

Y

a numeric vector. Outcome, crisp-set.

Details

The authors of the data are Carsten Schnieder and Claudius Wagemann. The data are used in the on-line appendix of "Set-Theoretic Methods for the Social Sciences" to show the disappearance of a necessary condition. Data are crisp-sets.

References

Schneider, C. Q., Wagemann, C. (2012) Set-Theoretic Methods for the Social Sciences, Cambridge University Press: Cambridge.

Schneider, C. Q., Wagemann, C., Quaranta, M. (2012) How To... Use Software for Set-Theoretic Analysis. Online Appendix to "Set-Theoretic Methods for the Social Sciences". Available at www.cambridge.org/schneider-wagemann

Examples

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data(SDC)

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