LR.intersect {SetMethods}

Function for identifying contradictory simplifying assumptions or easy counterfactuals.

Description

A function for identifying contradictory simplifying assumptions or easy counterfactuals by intersecting the SAs or ECs of two solutions.

Usage

LR.intersect(results1, results2, sol1 = 1, sol2 = 1)

Arguments

results1

An object of class "qca". It can be a parsimonious or an intermediate solution for an outcome or its negation obtained via minimize().

results2

An object of class "qca". It can be a parsimonious or an intermediate solution for an outcome or its negation obtained via minimize().

sol1

A vector where the first number indicates the number of the conservative or parsimonious solution according to the order in the "qca" object. For more complicated structures of model ambiguity, the intermediate solution can also be specified by using a character string of the form "c1p3i2" where c = conservative solution, p = parsimonious solution and i = intermediate solution.

sol2

A vector where the first number indicates the number of the conservative or parsimonious solution according to the order in the "qca" object. For more complicated structures of model ambiguity, the intermediate solution can also be specified by using a character string of the form "c1p3i2" where c = conservative solution, p = parsimonious solution and i = intermediate solution.

Author(s)

Ioana-Elena Oana

See Also

minimize

Examples

# 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 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)


# Get the contradictory simplofying assumptions:

LR.intersect(sol_yp, sol_nyp)