matches.suf.dcviir: Match deviant coverage cases and individually irrelevant...

Description Usage Arguments Author(s) References See Also Examples

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

Description

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

Usage

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

Arguments

results

An object of class "qca".

outcome

A character string with the name of the outcome in capital letters. When performing pimdata of the sufficient solution for the negated outcome one must only use the minimize() result from the sufficiency analysis of the negated outcome in the argument results. Changing the name in the argument outcome or using a tilde is not necessary.

neg.out

Logical. Should the negated outcome 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.

Author(s)

Juraj Medzihorsky and Ioana-Elena Oana

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

minimize

Examples

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# Import your data. For example:

data(SCHF)

# Get the parsimonious solution:


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

# Get the intermediate solution:

sol_yi <- minimize(SCHF, outcome = "EXPORT",
                conditions = c("EMP","BARGAIN","UNI","OCCUP","STOCK", "MA"),
                incl.cut = .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")

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

sol_nyp <- minimize(SCHF, outcome = "EXPORT", neg.out = TRUE,
                conditions = c("EMP","BARGAIN","UNI","OCCUP","STOCK", "MA"),
                incl.cut = .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)

nenaoana/SetMethods documentation built on Nov. 9, 2018, 6:57 a.m.