suffnec: Produces a sufficiency and necessity matrix
In Ronggui/QCA3: Yet Another Package for Qualitative Comparative Analysis

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

creates a matrix of the sufficiency and necessity scores for a crisp set or fuzzy set data frame.

suffnec(x, use = c("complete", "pairwise"))

## S3 method for class 'suffnec'
print(x, digits = 3, ...)

`x`	For coincide, x is a dataframe of crip set or fuzzy set data, which ranges from 0 to 1.
`use`	The method of handling missing data. "complete" means listwise deletion and "pairwise" means pairwise deletion.
`digits`	a non-null value for 'digits' specifies the minimum number of significant digits to be printed in values.
`...`	arguments passed to default method of print.

In the terminology of set theory, if X is the sufficient condition of Y, then the score of X should be consistently less or equal than that of Y. Similarly, if X is the necessary condition of Y, then the sore of X should be consistently greater or equal than that of Y. The necessary score measures such consitency. The formulas can be found in Ragin(2006:297).

For crip set, sufficient score measures proportation of Y=1 given that X=1. The neccessary score measures the proportation of X=1 given that Y=1.

A list of two matrixs of consistency score.

`suff`	Sufficiency Scores Matrix,measuring the consistency score of 'X is sufficient condition of Y'.
`nec`	Necessity Scores Matrix, measuring the consistency score of 'X is necessary condition of Y'.

Ronggui HUANG

Ragin, Charles C. 2006. "Set Relations in Social Research:Evaluating Their Consistency and Coverage." Political Analysis 14 (3) : 291-310

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