Introduction In this post, I’m going to give a brief overview into the theory and mechanics of my refresh of the classification package ClaNC, reclanc. The intended audience is those who know just a little about gene expression data and just a little about statistics. If you’re confused, feel free to reach out! Usage of reclanc won’t be covered here. I’ll be writing a separate vignette - stay tuned. What is classification, and why do it?…

Disclaimer This post has swear words in it. If you don’t like that, don’t read this one. If you don’t like that but you DO like not liking things, dig in boss. If you’re looking to hire me and trying to figure out if I’m a good fit for your company culture, I promise I will step off company premises into the designated swearing area on my swear breaks and get all my swears out then.…

Featuring ice cream, orbs, and a mysterious crate of clothes.

Introduction This is part 2 of my slow trudge through J. F. Lawlessness' book “Statistical Models and Methods For Lifetime Data”. Part 1 is here. Despite our penchant for measuring time in terms of things like ‘seconds’, time is continuous - a smear of unidirectional, infinitesimal, temporally flavored jam across the universe. Sometimes, though, time-to-event things happen in more discrete units. Consider graduation time - students tend to graduate yearly, all at the same time (ie graduation day)1.…

Introduction Like it or not, things are happening all the time. Even worse, you don’t know when a lot of these things will happen. Sure, you might have a general idea - kids learn to walk around the age of 1 or so, students tend to graduate after 4 years of undergraduate school, and dogs learn to shake after a certain number of treats and head scratches - but you don’t know exactly when these things happen.…

I was tired of looking up what various statistical tests do, so in hopes of remembering, I wanted to try the ‘learn by teaching’ method. Worse comes to worst, I can just look back at this if need be. That was five days ago. After five days of looking at poorly scanned PDFs of books published in the last millennium, formulae that look more like hexes than anything else, diving down into the C source code of R, and, of course, plenty of time on Wikipedia - I think I almost have a grip as to what’s going on.…

An R package. Makes qPCR preparation/analysis easy/reproducible.

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An R package with a Shiny helper app *inside*. Reproducibly edit western blots visually and easily.

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