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...nce correlation) DCOR (four statistics) dcov.test (distance covariance test of multivariate independence) indep.test (choice of nonparametric energy tests of multivariate independence) These functions implement the new methods introduced in our recent article: G. J. Szekely, M. L. Rizzo and N. K. Bakirov (2007) Measuring and Testing Independence by Correlation of Distances, Annals of Statistics, Vol. 35 No. 6, pp. 2769-2794. Distance correlation R is a scalar statistic for measuring and testing independence of random vectors. It satisfies 0<=R<=1 and R=0 only if independence holds. Dista...

...nce correlation) DCOR (four statistics) dcov.test (distance covariance test of multivariate independence) indep.test (choice of nonparametric energy tests of multivariate independence) These functions implement the new methods introduced in our recent article: G. J. Szekely, M. L. Rizzo and N. K. Bakirov (2007) Measuring and Testing Independence by Correlation of Distances, Annals of Statistics, Vol. 35 No. 6, pp. 2769-2794. Distance correlation R is a scalar statistic for measuring and testing independence of random vectors. It satisfies 0<=R<=1 and R=0 only if independence holds. Dista...

Hello all R gurus, I have a following problem which I hope someone will help me to solve. I have a data.frame in form similar to below. > testframe<-data.frame("Name"=c("aa","aa","aa","aa","aa","bb","bb","bb","bb","bb"),"Value"=c(1,100,1,1,1,100,100,100,100,1))

Hello, I am successfully applying apriori Algorithm in arules package to basket-form data and am getting a set of association rules. Is there an easy way to know, which rows violate these rules? That is, if I have a rule {beer,vodka} => {gin}, I want to find rows which contain {beer,vodka} but not {gin}. Best regards and thanks in advance, Rashid [[alternative HTML