allExpressions

the number of conditions from the dataset

no.conditions

if TRUE, returns the raw result matrix; if FALSE, print the result matrix without NAs

inside

if TRUE the program tries hard to arrange the result matrix for visual inspection
   (however this takes a lot of additional time for large matrices)

arrange

There are $3^k - 1$ possible expressions (where $k$ is the number of conditions)
for a crisp-set procedure. Possible values for conditions are 1 (presence), 0 (absence) and NA
(the condition being a subset of a larger one).
The matrix grows exponentially so it is not reccomended to run this function for a large number of 
causal conditions (say over 12) as the computer will quickly run out of resources.

misc

Performs the Quine-McCluskey algorithm for Qualitative
        Comparative Analysis, for both crisp versions: bvQCA
        (binary-value QCA) and for mvQCA (multi-value QCA). In the
        classical approach it currently handles about 15 conditions and
        one outcome for binary data only, but since version 0.4-5 the
        package has an enhanced, faster function that obtains the same
        exact solutions with a substantially lower memory consumption,
        it handles even more causal conditions; the enhanced function
        eqmcc() can also be used for mvQCA. The next versions of this
        algorithm will be oriented towards fuzzy-set functions. Also,
        in the near future the current functions will deal with missing
        values in the data

allExpressions: Create a matrix with all possible combinations of conditions

Description

Usage

Arguments

Value

References

Examples