October 2018
Intermediate to advanced
340 pages
7h 56m
English
One important feature of analysis is the aggregation of data. In Microsoft ML Server, the rxCube() function is used when we want to aggregate data for further analysis within R. rxCube() performs a very similar function to rxCrossTabs(). rxCube() helps with the analysis by computing metrics such as tabulated sums or means. rxCube() produces the sums or means in long format rather than a table. Example syntax for rxCube is as follows:
rxCube(formula, data, …)
The code shows that rxCube requires a formula containing the variables to cross-tabulate. It differs from rxCrossTabs() in the default value of the means argument (true for rxCube(); false for rxCrossTabs()). As with rxCrossTabs, the data item refers to the ...
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