SetMethods (version 2.1)

matches.suf.dcviir: Match deviant coverage cases and individually irrelevant cases with regards to sufficiency.

Description

A function that matches deviant coverage cases and individually irrelevant cases with regards to sufficiency.

Usage

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

Arguments

results

An object of class "qca".

outcome

A character string with the name of the outcome.

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.

References

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

See Also

eqmcc

Examples

# NOT RUN {
# 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)

# Get the intermediate solution:

sol_yi <- eqmcc(Schneider, outcome = "EXPORT",
                conditions = c("EMP","BARGAIN","UNI","OCCUP","STOCK", "MA"),
                incl.cut1 = .9, 
                include = "?", 					   
                details = TRUE, show.cases = TRUE, dir.exp = c(0,0,0,0,0,0))
                
# Match deviant coverage cases and individually irrelevant cases for the parsimonious solution:

matches.suf.dcviir(results = sol_yp, outcome = "EXPORT")

# Match deviant coverage cases and individually irrelevant cases for the parsimonious solution
# and return only the best 3 pairs:

matches.suf.dcviir(results = sol_yp, outcome = "EXPORT", max_pairs=3)

# Match deviant coverage cases and individually irrelevant cases for the intermediate solution:

matches.suf.dcviir(results = sol_yi, outcome = "EXPORT", intermed = TRUE)

# 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 deviant coverage cases and individually irrelevant cases for 
# the second parsimonious solution for the absence of the outcome:

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