[R] Dependency Injection & Inversion of Control for Data

Jeff Newmiller jdnewmil at dcn.davis.CA.us
Tue Jul 29 19:10:48 CEST 2014

Color me mystified. In particular, "preprocessing at the time of analysis"... what is wrong with writing a function that gets your data and cleans it up, then calling it when you feel the time is right?

Note that R is optimized for vector processing (columns), not row-by-row processing, so the sooner you embrace this paradigm will be the sooner you will be productive with it. Where your data do not match this structure the most effective strategy is to transform it to that structure, perhaps using Rcpp or an external tool.
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Sent from my phone. Please excuse my brevity.

On July 29, 2014 9:02:31 AM PDT, Reed Spool <reed at graphicacy.com> wrote:
>New to R, coming from Java (Spring).
>We have many different data sources (CSV's) for our analysis. Some of
>need preprocessing at the time of analysis - doing it earlier and
>the resultant table doesn't make sense.
>My code is getting tangled quickly as I try to read.csv my many data
>and source both the preprocessing stuff as well as my analysis code.
>I'm hoping for a streamlined method of injecting the data/code needed
>my analysis code, instead of imperatively sorting everything out at the
>of my analysis code.
>Googling "Dependency Injection R" and "Inversion of Control R" gave
>useful. Searching for "Dependency Management" brought me to the packrat
>package, but that doesn't seem to have the injection element I'm
>for (as I would expect from such a system).
>Am I barking up the wrong tree? I can't imagine my problem is a new
>How do you solve it?
>	[[alternative HTML version deleted]]
>R-help at r-project.org mailing list
>PLEASE do read the posting guide
>and provide commented, minimal, self-contained, reproducible code.

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