Publications by Jamie Lendrum
Let’s call it tidysearch
R became 25 years old last year, and yet it’s only in relatively recent years that the language has really taken off with numerous conferences every year driven by a passionate and vibrant community of users. A large part of this has been driven by an ecosystem of R packages called the Tidyverse, which many new users nowadays begin their R jour...
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Are R ecosystems the future?
Some random thoughts… Over the past 6 months I’ve been creating, refining, and delivering a variety of ‘Introduction to R’ training courses. The more I do this, the more I come to the view that not nearly enough is made of taking an ecosystem-oriented view to packages. A good way of talking about #rstats functionality is in terms of ecosy...
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Experimentation with Unsupervised Learning
Motivation I’ve written before about my learning plans, which always seem to be in a state of flux, and in particular learning about machine learning. Part of the reason why I’m so reticent is because I’m a mathematician and statistics does not come natural or easy for me. My limited past experience has exposed to me just how much I don’t...
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Use the k-means clustering, Luke
In my last post I scraped some character statistics from the mobile game Star Wars: Galaxy of Heroes. In this post, I’ll be aiming to try out k-means clustering in order to see if it comes out with an intuitive result, and to learn how to integrate this kind of analysis into a tidy workflow using broom. First I’ll load the required packages a...
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Experimenting with Hierarchical Clustering in a galaxy far far away…
Introduction This post will be taking a bit of an unexpected diversion. As I was experimenting with hierarchical clustering I ran into the issue of how many clusters to assume. From that point I went deep into the rabbit hole and found out some really useful stuff that I wish I’d have known when I wrote my previous post. I’ve discovered that ...
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What’s in a package?
Happy Christmas! The holiday season has got me thinking about how discovering a new R package is like receiving a Christmas gift…you’re not quite sure what’s inside, but you’re hoping it’ll enrich your programming or analysis life in some way! In this short blog post I’ll be exploring a method to do this, of peeling back the wrapping ...
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Can Genealogical data be tidy?
Happy families are all alike; every unhappy family is unhappy in its own way — Leo Tolstoy Like families, tidy datasets are all alike but every messy dataset is messy in its own way — Hadley Wickham In this post, I’ll be exploring how genealogical data stored in the de-facto standard format, GEDCOM, could be made tidy, and arguing that th...
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