Description Usage Arguments Author(s) References See Also Examples

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

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

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

`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 |

`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. |

Juraj Medzihorsky and 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

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 | ```
# 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)
``` |

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