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Programming over R
R is a very fluid language amenable to meta-programming, or alterations of the language itself. This has allowed the late user-driven introduction of a number of powerful features such as magrittr...
View ArticleSummarizing big data in R
Our next "R and big data tip" is: summarizing big data. We always say "if you are not looking at the data, you are not doing science"- and for big data you are very dependent on summaries (as you can’t...
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In defense of wrapr::let()
Saw this the other day: In defense of wrapr::let() (originally part of replyr, and still re-exported by that package) I would say: let() was deliberately designed for a single real-world use case:...
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Use a Join Controller to Document Your Work
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). When...
View ArticleNon-Standard Evaluation and Function Composition in R
In this article we will discuss composing standard-evaluation interfaces (SE: parametric, referentially transparent, or “looks only at values”) and composing non-standard-evaluation interfaces (NSE) in...
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Join Dependency Sorting
In our latest installment of “R and big data” let’s again discuss the task of left joining many tables from a data warehouse using R and a system called "a join controller" (last discussed here). One...
View ArticleWorking With R and Big Data: Use Replyr
In our latest R and Big Data article we discuss replyr. Why replyr replyr stands for REmote PLYing of big data for R. Why should R users try replyr? Because it lets you take a number of common working...
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More documentation for Win-Vector R packages
The Win-Vector public R packages now all have new pkgdown documentation sites! (And, a thank-you to Hadley Wickham for developing the pkgdown tool.) Please check them out (hint: vtreat is our...
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Why to use the replyr R package
Recently I noticed that the R package sparklyr had the following odd behavior: suppressPackageStartupMessages(library("dplyr")) library("sparklyr") packageVersion("dplyr") #> [1] '0.7.2.9000'...
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It is Needlessly Difficult to Count Rows Using dplyr
Question: how hard is it to count rows using the R package dplyr? Answer: surprisingly difficult. When trying to count rows using dplyr or dplyr controlled data-structures (remote tbls such as...
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