fs_truthTable {QCA3}R Documentation

Construction of truthTable from fuzzy set score

Description

Constructing a truthTable from fuzzy set score.

Usage

fs_truthTable(mydata, outcome, conditions, ncases_cutoff = 1,
             consistency_cutoff = 0.8, complete = FALSE,
             show.cases =TRUE,quiet =FALSE, cases = NULL, ...)

Arguments

mydata A fuzzy set score dataset. All the scores must range from 0 to 1.
outcome character, the name of the outcome variable in the dataset.
conditions character vetor, the name of the conditions from the dataset.
ncases_cutoff When number of case is less than cutoff, it will be regarded as dontcare configuration.
consistency_cutoff Cutoff point of consistenty score, cases with consistency score greater than cutoff point are regarded as OUT=1.
complete prints the complete truth table, including configurations without empirical cases.
show.cases show the rownames from the original dataset for each combination of conditions.
quiet Not used currently.
cases character, variable of case names. If it is NULL and show.cases is TRUE, name of cases are derived from row names of dataset.
... Not used currently.

Details

There are serveral pillars which make it possible to construct a crip truthTable summarizing the raw data. There is a correspondance between vector space corners and truthTable rows. Thus, it is possible to get the number of cases with strong membership in each corner (usually greater then 0.5), and the consistency of the empirical evidence for each corner. By specifying the frequency thresholds for fuzzy-set assessments (the ncases_cutoff argument), and assessing the consistency of fuzzy-set subset relations (the consistency_cutoff argument), we can finally construct a truthTable.

Value

A truthTable.

Author(s)

Ronggui HUANG

References

Ragin. Charles. 2009. Qualitative Comparative Analyais Using Fuzzy Sets (fsQCA). In Configuraional comparative Methods: qualitative comparative analysis (QCA) and related techniques. ed by Benoit RiHoux and Charles Ragin. Sage. This chapter can be downloaded from http://www.u.arizona.edu/~cragin/fsQCA/software.shtml.

See Also

reduce cs_truthTable

Examples

fs_truthTable(Lipset_fs,"Survived.FZ",c("Developed.FZ","Urban.FZ","Literate.FZ","Industrial.FZ",
"Stable.FZ"),cases="Country",consistency_cutoff=0.7)   

[Package QCA3 version 0.0-2 Index]