Speaker: Charles Arthur Piercey

How to keep your R code simple while tackling big datasets

How to keep your R code simple while tackling big datasets

Like many statistical analytic tools, R can be incredibly memory intensive. A simple GAM (generalized additive model) or K-nearest neighbor routine can devour many multiples of memory size compared to the starting dataset. And, R doesn’t always behave nicely when it runs out of memory. There are techniques to get around memory limitations, like using […]

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