Asking an R user where one-hot encoding is used is like asking a fish where there is water they can’t point to it as it is everywhere. (or: how to correctly use xgboost from R) R has "one-hot" encoding hidden in most of its modeling paths. Please read on for some small meta-programming effects we have been Įncoding categorical variables: one-hot and beyond This has allowed the late user-driven introduction of a number of powerful features such as magrittr pipes, the foreach system, futures, data.table, and dplyr.
R is a very fluid language amenable to meta-programming, or alterations of the language itself.
Introduction Beginning R users often come to the false impression that the popular packages dplyr and tidyr are both all of R and sui generis inventions (in that they might be unprecedented and there might no other reasonable way to get the same effects in R). If you work through this article you should end up with a very deep understanding of array indexing and the deep interpretation available when we realize indexing is an instance of function composition (or an example of In this article I will discuss array indexing, operators, and composition in depth. I thought this would be a good time to talk about the power of working with We have also been helping clients become productive on R/Spark infrastructure through direct consulting and bespoke training. Win-Vector LLC has recently been teaching how to use R with big data through Spark and sparklyr. New series: R and big data (concentrating on Spark and sparklyr) Please read on for our handy hints on keeping your data handles neat. When working with big data with R (say, using Spark and sparklyr) we have found it very convenient to keep data handles in a neat list or data_frame. In our latest “R and big data” article we show how to manage intermediate results in non-trivial Apache Spark workflows using R, sparklyr, dplyr, and replyr. Managing intermediate results when using R/sparklyr This note describes a useful replyr tool we call a "join controller" (and is part of our "R and Big Data" series, please see here for the introduction, and here for one our big data courses). Use a Join Controller to Document Your Work
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