R: Selbst, practicing the truth table algorithm data
Selbst
R Documentation
Selbst, practicing the truth table algorithm data
Description
The Selbst data frame has 130 rows and 4 variables
Usage
data(Selbst)
Format
A data frame with 130 observations on the following 4 variables.
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. Condition, 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 practice the truth table algorithm. 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
data(Selbst)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(SetMethods)
Loading required package: lattice
Loading required package: betareg
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/SetMethods/Selbst.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Selbst
> ### Title: Selbst, practicing the truth table algorithm data
> ### Aliases: Selbst
> ### Keywords: datasets
>
> ### ** Examples
> data(Selbst)
>
>
>
>
> dev.off()
null device
1
>