About tylerrinker
Data Scientist, open-source developer , #rstats enthusiast, #dataviz geek, and #nlp buff
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
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Tagged aesthetics, geoms, ggplot, ggplot2, R, tidyverse
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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
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Tagged data science, expression, ggplot2, math notation, plot, R, text, title, trinker, tyler rinker, visualization
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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
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Tagged #rstats, fusiform gyrus, phonemic awareness, phonics, R, reading, theory, trinker, tyler rinker, visual word form area
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About a year and a half back I was working in Python a bit and became accustomed to the explicit importing of modules (akin to R packages) and functions. Python imports packages like this: import tidyr import dplyr as dp … Continue reading →
This is a quick script showing how to make multi-tabbed .xlsx files. I recently had the need to do this and used the flexible openxlsx package maintained by : Alexander Walker. The package is described by the author like this: … Continue reading →
Posted in r, reports, work flow
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Tagged #rstats, data science, excel, openxlsx, R, tyler rinker, workbook, xls, xlsx
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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
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Tagged ggplot2, R, tidyr, tidytext, tidyverse, tylerrinker
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Steve Simpson (@data_steve) created the googleformr package to enable users to easily send information to a Google Form. It’s a nice way to send and securely store data via R and the price is great…FREE! A Pneumatic Road Tube Allegory…Kinda … Continue reading →
It was just over a year ago that Dason Kurkiewicz and I released pacman to CRAN. We have been developing the package on GitHub in the past 14 months and are pleased to announce these changes have made their way … Continue reading →
Several years back I wrote a two part blog series in response to seeing questions about plotting and reordering on list serves, talkstats.com, and stackoverflow. Part I discussed the basics of reordering plots by reordering factor levels. The essential gist was: … Continue reading →
My wife got me a Safe Cracker 40 puzzle a while back. I believe I misplaced the solution some time back. The company, Creative Crafthouse, stands behind their products. They had amazing customer service and promptly supplied me with a … Continue reading →
