Internal function to calculate the Bootstrapped Recommendation.
Usage
sim.brQCA(
qca.data,
outcome = "OUT",
conditions = c(""),
sim = 10,
ncut = 2,
type = "crisp",
inclcut = "",
neg.out = FALSE,
verbose = TRUE
)Arguments
- qca.data
the data frame of causal conditions.
- outcome
the outcome variable (object name) in the QCA data frame of causal conditions;
"OUT"is the outcome variable for an application of QCA. Default set tooutcome="OUT".- conditions
a set of causal conditions. Default set to
conditions=c("")- sim
number of simulations to run. Default set to
sim=10.- ncut
configurational n levels for inclusion. Default set to
ncut=2.- type
type of QCA application,
"crisp"or"fuzzy"sets. Default set totype = "crisp".- inclcut
minimum sufficiency score for inclusion. Default set to
inclcut="".- neg.out
[from QCA package] “Logical, use negation of outcome (ignored if data is a truth table object).” Default set to
neg.out=FALSE.- verbose
prints the system time used to run the simulation and the percent complete. Default set to
verbose=TRUE.