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I would like to find a similarity coefficient among several variables. After long reading I could not find the answer I wanted. Coefficients like Jaccard's or Cramer's V are not suitable to my data which is made of different variables of 100 observations each that can assume 1 single value (like the value 0.5 repeated x100 times), 2 single values (like 40 observations having value of 0.1 each and 60 of 0.2), or multiple values. What I am seeking is a pairwise correlation matrix giving a similarity coefficient of the face value for each pairwise (i.e. case1: 2 variables made of the value 0.1 repeated 100 times in X1 variable versus 0.2 value repeated 100 times in X2 should return the weakest possible similarity coefficient; case2: 2 variables made of the value 0.1 repeated 100 times in both X1 and X2 should return the strongest possible similarity coefficient, etc.). The problem is that my variables can assume 1 single value each, or 2 values or multiple values. Is there any similarity coefficient, and possible any r package that could do the job done? Thanks for reading and possibly for answering. Al