# matches.suf.typtyp: Match typical cases for each conjunct in a sufficient term.. In SetMethods: Functions for Set-Theoretic Multi-Method Research and Advanced QCA

## Description

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

## Usage

 ```1 2``` ```matches.suf.typtyp(results, outcome, term = 1, 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. `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? `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

## 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

`minimize`

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47``` ```# 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 typical cases for each conjunct for the second term of the parsimonious solution: matches.suf.typtyp(results = sol_yp, outcome = "EXPORT", term = 2) # Match typical cases for each conjunct for the first term (default) of # the parsimonious solution and return only the best 3 pairs: matches.suf.typtyp(results = sol_yp, outcome = "EXPORT", max_pairs=3) # Match typical cases for each conjunct for the first term (default) # of the intermediate solution: matches.suf.typtyp(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 typical cases for each conjunct of the second term # of the second parsimonious solution for the absence of the outcome: matches.suf.typtyp(results = sol_nyp, outcome = "EXPORT", neg.out = TRUE, term = 2, sol = 2) ```

SetMethods documentation built on April 25, 2018, 5:04 p.m.