eqmcc {QCA} | R Documentation |
This function is designed to improve the speed and memory problems that qmcc() currently hasm and it has very high chances to replace the main qmcc() in the future; all tests have been successful, the solutions are exactly the same down to the last literal. It has about the same options as qmcc(), minus the "details" and "diffmatrix" arguments which are no longer required. It is called "eqmcc" because it doesn't follow the classic minimization algorithm but a more direct and rapid 'e'nhancement.
eqmcc(mydata, outcome = "", conditions = c(""), incl.rem = FALSE, expl.1 = FALSE, expl.0 = FALSE, expl.ctr = FALSE, expl.mo = FALSE, incl.1 = FALSE, incl.0 = FALSE, incl.ctr = FALSE, incl.mo = FALSE, quiet = FALSE, chart = FALSE, use.letters = TRUE, show.cases = FALSE)
mydata |
a truth table (an R object with class "truthTable"), or the dataset used for minimization (either as a dataframe or as a matrix) |
outcome |
the name of the outcome variable from the dataset |
conditions |
a string vector containing the conditions' names from the dataset (if not specified, all variables but the outcome are included) |
incl.rem |
include the remainders in the minimization procedure |
expl.1 |
explain the outcomes equal to 1 |
expl.0 |
explain the outcomes equal to 0 |
expl.ctr |
explain the contradictions |
expl.mo |
explain the missing outcomes (not implemented yet) |
incl.1 |
include the outcomes equal to 1 in the minimization procedure |
incl.0 |
include the outcomes equal to 0 in the minimization procedure |
incl.ctr |
include the contradictions in the minimization procedure |
incl.mo |
include the missing outcome in the minimization procedure (not implemented yet) |
quiet |
print the solution without any other information |
chart |
print the prime implicants chart |
use.letters |
should letters be used instead of column names |
show.cases |
show the lines corresponding to every minimized prime implicant |
The speed is greatly improved: for 15 causal conditions it takes less than 2 minutes, compared to 10 minutes in qmcc(). The memory consumption is tiny by comparison: also for 15 causal conditions, qmcc() uses about 1.5 GB of RAM, where eqmcc() uses about 50 MB.
Adrian Dusa
Romanian Social Data Archive
adi@roda.ro
Faculty of Sociology and Social Work, University of Bucharest
dusa.adrian@unibuc.ro
Ragin, Charles C. 1987 The Comparative Method. Moving beyond qualitative and quantitative strategies, Berkeley: University of California Press
Dusa, Adrian 2007 Enhancing Quine-McCluskey, http://www.compasss.org/WPShort.htm
data(Osa) # explaining only the presence of the outcome eqmcc(Osa, outcome="OUT", expl.1=TRUE) # now including the remainers and the contradictions eqmcc(Osa, outcome="OUT", expl.1=TRUE, incl.rem=TRUE, incl.ctr=TRUE) # the same as above, but we want to see the prime implicants chart eqmcc(Osa, outcome="OUT", expl.1=TRUE, incl.rem=TRUE, incl.ctr=TRUE, chart=TRUE) # printing the lines corresponding to each prime implicant eqmcc(Osa, outcome="OUT", expl.1=TRUE, incl.rem=TRUE, incl.ctr=TRUE, show.cases=TRUE) # now explaining the absence of the outcome eqmcc(Osa, outcome="OUT", expl.0=TRUE, incl.rem=TRUE, incl.ctr=TRUE, show.cases=TRUE)