Category Archives: tylerrinker

ggplot2: How Geoms & Aesthetics ≈ Whipped Cream

Posted on March 21, 2018 by tylerrinker

In this post I have a few goals: 1. Become (re-)familiar with available geoms 2. Become (re-)familiar with aesthetic mappings in geoms (stroke who knew?) 3. Answer these questions: How often do various geoms appear and how often do they … Continue reading →

Posted in analysis, data, ggplot2, r, tidyverse, trinker, tylerrinker, Uncategorized | Tagged , , , , , | 10 Comments

Math Notation for R Plot Titles: expression, bquote, & Greek Letters

Posted on March 15, 2018 by tylerrinker

In this post you will learn: How to create expressions that have mixed (1) strings, (2) expressions, (3) variables & (4) Greek letters How to pass in values as variables to an expression I wanted to name this post “Ahhhhhhhhhhh #$@%&!!!!” … Continue reading →

Posted in ggplot2, plot, r, trinker, tylerrinker, visualization, work flow | Tagged , , , , , , , , , , | 5 Comments

Using R to Reason & Test Theory: A Case Study from the Field of Reading Education

Posted on February 28, 2018 by tylerrinker

Note: Word Press messes up the code. Find the code here: https://github.com/trinker/RandomCaseEffect This past week I was preparing slides for a reading assessment class with a lecture focus on the Visual Word Form Area [VWFA] (Cohen, et al., 2000). This … Continue reading →

Posted in grapheme, letter, r, text, trinker, tylerrinker | Tagged , , , , , , , , , | 5 Comments

Ordering Categories within ggplot2 Facets

Posted on December 23, 2016 by tylerrinker

I saw Simon Jackson’s recent blog post regarding ordering categories within facets. He proposed a way of dealing with the problem of ordering variables shared across facets within facets. This problem becomes apparent in text analysis where words are shared … Continue reading →

Posted in ggplot2, r, text, tidytext, tidyverse, tylerrinker, visualization | Tagged , , , , , | 14 Comments

Wakefield: Random Data Set (Part II)

Posted on April 30, 2015 by tylerrinker

This post is part II of a series detailing the GitHub package, wakefield, for generating random data sets. The First Post (part I) was a test run to gauge user interest. I received positive feedback and some ideas for improvements, … Continue reading →

Posted in data, data generation, r, random, trinker, tylerrinker, wakefield | Tagged , | 12 Comments