matches.suf.typiir: Match typical cases and individually irrelevant cases for...
In SetMethods: Functions for Set-Theoretic Multi-Method Research and Advanced QCA

Description Usage Arguments Author(s) References See Also Examples

View source: R/matches.suf.typiir.R

A function that matches typical cases and individually irrelevant cases with regards to sufficiency for each INUS condition.

1 2	matches.suf.typiir(results, outcome, term = 1, neg.out=FALSE, intermed=FALSE, sol=1, max_pairs = 5)

`results`	An object of class "qca".
`outcome`	A character string with the name of the outcome.
`term`	A numeric vector where the first number indicates the number of the term according to the order in the "qca" object.
`neg.out`	Logical. Should the negated outcome be used?
`intermed`	Logical. Should the intermediate solution be used?
`sol`	A numeric vector where the first number indicates the number of the solution in case of model ambiguity according to the order in the "qca" object.
`max_pairs`	Maximum number of pairs to extract.

Ioana-Elena Oana

Schneider, C. Q., Rohlfing, I. 2013. Combining QCA and Process Tracing in Set-Theoretic Multi-Method Research. Sociological Methods Research 42(4): 559-597

Schneider, C. Q., Rohlfing I. 2016. Case Studies Nested in Fuzzy-Set QCA on Sufficiency: Formalizing Case Selection and Causal Inference. Sociological Methods & Research 45(3): 526-68

Rohlfing, I., Schneider C. Q. 2016. A Unifying Framework for Causal Analysis in Set-Theoretic Multi-Method Research. Sociological Methods & Research: 1-27. DOI: 10.1177/0049124115626170

eqmcc

# Import your data. For example:

data(Schneider)

# Get the parsimonious solution:


sol_yp <- eqmcc(Schneider, outcome = "EXPORT",
                conditions = c("EMP","BARGAIN","UNI","OCCUP","STOCK", "MA"),
                incl.cut1 = .9, 
                include = "?", 					   
                details = TRUE, show.cases = TRUE)


# Match typical cases and individually irrelevant cases for each conjunct 
# for the first term (default) of the parsimonious solution and return only the best 3 pairs:

matches.suf.typiir(results = sol_yp, outcome = "EXPORT", max_pairs=2)

# Get the parsimonious solution for the absence of the outcome:

sol_nyp <- eqmcc(Schneider, outcome = "EXPORT", neg.out = TRUE,
                conditions = c("EMP","BARGAIN","UNI","OCCUP","STOCK", "MA"),
                incl.cut1 = .9, 
                include = "?", 					   
                details = TRUE, show.cases = TRUE)

# Match typical cases and individually irrelevant cases for each conjunct for 
# the first term (default) of the second parsimonious solution for the absence of the outcome:

matches.suf.typiir(results = sol_nyp, outcome = "EXPORT", neg.out = TRUE, sol = 2)