Blazej Moska demonstrates how to use Rcpp to parallelize R code:
One of the frustrating moments while working with data is when you need results urgently, but your dataset is large enough to make it impossible. This happens often when we need to use algorithm with high computational complexity. I will demonstrate it on the example I’ve been working with.
Suppose we have large dataset consisting of association rules. For some reasons we want to slim it down. Whenever two rules consequents are the same and one rule’s antecedent is a subset of second rule’s antecedent, we want to choose the smaller one (probability of obtaining smaller set is bigger than probability of obtaining bigger set).
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