QCA (version 3.23)

fuzzyand, fuzzyor: Logical operations

Description

These functions perform logical operations AND and OR, for binary crisp or fuzzy set membership scores.

Usage

fuzzyand(..., na.rm = FALSE)
fuzzyor(..., na.rm = FALSE)

Value

A numerical vector of class "QCA_fuzzy", with a name attribute expression

Arguments

...

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

na.rm

Logical, indicating whether missing values should be removed.

Author

Adrian Dusa

Examples

# -----
# Cebotari & Vink (2013, 2015)

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

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

# DEMOC*~GEOCON*NATPRIDE
fa <- using(
    CVF,
    fuzzyand(DEMOC, 1 - GEOCON, NATPRIDE)
)
fa

attr(fa, "name")


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

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

# ETHFRACT + ~POLDIS
fo <- using(CVF, fuzzyor(ETHFRACT, 1 - POLDIS))
fo

attr(fo, "name")