QCA (version 2.6)

fuzzyand, fuzzyor: Logical operations

Description

These functions perform logical "and" and "or", either for binary crisp or fuzzy set membership scores.

Usage

fuzzyand(...)
fuzzyor(...)

Arguments

...

Two or more numerical (calibrated) membership scores, or a matrix / data frame of calibrated columns.

Value

A numerical vector of resulting values

Examples

# NOT RUN {
# -----
# Cebotari & Vink (2013, 2015)
data(CVF)

# DEMOC*GEOCON*NATPRIDE
fuzzyand(CVF$DEMOC, CVF$GEOCON, CVF$NATPRIDE)

# same thing with
fuzzyand(CVF[, c(1,3,5)])

# DEMOC*geocon*NATPRIDE
fa <- fuzzyand(CVF$DEMOC, 1 - CVF$GEOCON, CVF$NATPRIDE)
fa

attr(fa, "name")



# ETHFRACT + POLDIS
fuzzyor(CVF$ETHFRACT, CVF$POLDIS)

# same thing with
fuzzyor(CVF[, c(2,4)])

# ETHFRACT + poldis
fo <- fuzzyor(CVF$ETHFRACT, 1 - CVF$POLDIS)
fo

attr(fo, "name")

# }