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I was recently re-reminded about this cookbook for eating well on a food stamp budget. I should buy a copy to support the project.

I guess there's a new ggplot2 book in the works, which is great news because the previous one is lagging too far behind the current implementation. It's going to include a chapter on programming with ggplot2, which should be fantastically helpful for beginner-intermediate level users looking to improve the efficiency of their workflow. I can't tell you how many different pieces of my recent analyses could use some work in this department, but unfortunately I can't always make the time and space to improve this meta-aspect of my work. On the flipside, I'm still in agreement with myself that Wickham's tools for R users have helped make R incredibly useful for biostatisticians, both in terms of data visualization and data manipulation. Even with my currently cumbersome scripts, I'm able to whip through carefully customized analyses pretty quickly.

This, from McSweeney's, makes me a little tired: Required Reading Essay Questions Written by a First-Year Adjunct Who Does Not Have the Time or Wherewithal to do the Required Reading. Only funny because it's sadly true.

A friend who has been going through insanely hellacious cancer treatments recently posted a link to information about the Fallacy of Relative Privation. I'm still chewing over the idea, but I'm grateful for the introduction

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( 4 remarks — Remark )
moodyduck
Aug. 2nd, 2015 06:18 pm (UTC)
I have just barely dipped my toe into ggplot2 because I have had no time to learn new skills (or the need, short term, not doing much with actual data). But I browsed that link and it looks very helpful. I have started doing something similar in Matlab to auto-generate plots for repeated modeling exercises but they end up pretty hideous... Ok for showing to a team but not much beyond that. Should learn what that link describes.
rebeccmeister
Aug. 2nd, 2015 10:21 pm (UTC)
There are a lot of reference cards out and about for Matlab users looking to switch to R. That said, learning ggplot2 involves learning a bunch of new syntax in and of itself, and the learning curve is unavoidable.

I've got a couple of relevant links on my website that cover various aspects of ggplot2 as well, including two pages that walk through the basics. You might also find my Publication-quality graphics workshop section (session 5) helpful and fairly brief. For your spare time. ;-)
moodyduck
Aug. 3rd, 2015 03:37 am (UTC)
I can muddle along with R as needed--don't use it frequently enough to remember how to do everything off the top of my head (or I go back to my pre-written scripts and don't have to change much.) I got enough of the concept of ggplot2 to know that I'd like it, but it is going to take the playing-around time. Same with Shiny.
rebeccmeister
Aug. 3rd, 2015 03:03 pm (UTC)
Heh, even as a frequent R user I still keep a personal "reference card" for all the syntax that just won't stay in my head. :)
( 4 remarks — Remark )

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