rob.cases {SetMethods} | R Documentation |
Function for identifying cases in the intersections between an inital solution and test solutions.
Description
Function for identifying cases between the various intersections between an inital solution and test solutions. The function also returns case ratio paramaters.
Usage
rob.cases(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 Robustness tests in QCA: A fit-oriented and case-oriented perspective using R. Unpublished Manuscript.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
## Not run:
# 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)
# Looking at cases against the test set:
rob.cases(test_sol = TS,
initial_sol = IS,
outcome = "HL")
## End(Not run)
[Package SetMethods version 4.0 Index]