mv_truthTable: Construct a truthTable for mvQCA
In QCA3: Yet another package for Qualitative Comparative Analysis

Description Usage Arguments Details Value Author(s) References See Also Examples

Construct a truthTable for mvQCA. Both deterministic and probabilistic methods of determining configurations of positive, negative and contraditory outcome are implemented.

mv_truthTable(mydata, outcome, conditions, method = c("deterministic", 
    "probabilistic"), weight = NULL, complete=FALSE, show.cases = TRUE, cases = NULL, 
    cutoff1 = 1, cutoff0 = 1, benchmark = 0.65, conf.level = 0.95, 
    missing = c("missing", "dontcare", "positive", "negative"))

`mydata`	data frame of the raw data.
`outcome`	character, the name of the outcome variable in mydata.
`conditions`	character vector, the name of the conditions from mydata.
`method`	character, specifying the method of determining the outcome of a configuration.
`weight`	character, name of a variable specifying the weights.
`complete`	logical, when it is TRUE the result includes configurations without empirical cases.
`show.cases`	logical, when TRUE the result shows case names.
`cases`	character, variable specifying the case names. When it is NUll, then use row names of mydata as case names.
`cutoff1`	length one numeric vector.
`cutoff0`	length one numeric vector.
`benchmark`	Benchmark for statistical test. Must equal or greater than 0.5.
`conf.level`	confident level of statistical test.
`missing`	method to handle missing data.

The value of all the conditions should start from 0. For example, for mvQCA with 3 levels,it should be 0,1 or 2. Value -9 in conditions means "don't care" (though "don't care" in outcome is denoted by "-9").

There is a sort method method for the truthTable object.

Refer to cs_truthTable for for more details.

An object of class "mv_truthTable" and "truthTable".

Ronggui HUANG

Ragin, Charles. 2000. Fuzzy-Set Social Science. Pp109-116. University Of Chicago Press.

fs_truthTable and reduce

## truthTable for mvQCA.
mv_truthTable(Lipset_mv,"SURVIVAL", c("GNPCAP", "URBANIZA", "LITERACY",
              "INDLAB"),case="CASEID")

mvt <- mv_truthTable(Lipset_mv,"SURVIVAL", c("GNPCAP", "URBANIZA", "LITERACY",
              "INDLAB"),case="CASEID")

sort(mvt)