rob.corefit {SetMethods}

Function returning parameters of fit for the robust core of different alternative sufficient solutions.

Description

Function returning parameters of fit for the robust core between an initial solution and various alternative test solutions.

Usage

rob.corefit(test_sol, 
          initial_sol, 
          outcome)

Arguments

test_sol

The different alternative solutions created with minimize() and placed in a list using list().

initial_sol

The initial solution created with minimize().

outcome

A character string containing the name of the outcome.

Author(s)

Ioana-Elena Oana

References

Oana, Ioana-Elena, and Carsten Q. Schneider. 2020. Robustness tests in QCA: A fit-oriented and case-oriented perspective using R. Unpublished Manuscript.

Oana, Ioana-Elena, Carsten Q. Schneider, and Eva Thomann (forthcoming). Qualitative Comparative Analysis (QCA) using R: A Gentle Introduction. Cambridge: Cambridge University Press.

Examples

# Load the data:
data(PAYF)

# Store the name of the conditions in one vector:
conds <-  c("HE","GG","AH","HI","HW")

# Create several solutions:

# The initial solution
IS <- minimize(data = PAYF,
                outcome  = "HL",
                conditions = conds,
                incl.cut = 0.87,
                n.cut = 2,
                include = "?",
                details = TRUE, 
                show.cases = TRUE)

# altering consistency
TS1 <- minimize(data = PAYF,
                 outcome  = "HL",
                 conditions = conds,
                 incl.cut = 0.7,
                 n.cut = 2,
                 include = "?",
                 details = TRUE, show.cases = TRUE)

#altering n.cut
TS2 <- minimize(data = PAYF,
                 outcome  = "HL",
                 conditions = conds,
                 incl.cut = 0.87,
                 n.cut = 1,
                 include = "?",
                 details = TRUE, show.cases = TRUE)
                 
# Create the test set in a list:
TS <- list(TS1, TS2)

# Calculate robustness parameters, i.e. the ratio of the parameters
# of fit for the core vis-a-vis for the initial solution:

CF <- rob.corefit(test_sol = TS, 
           initial_sol = IS,  
           outcome = "HL")
CF