Blog Logo

runconf17, an analysis of emoji use

I had such a delightful time at rOpenSci's unconference. Not only was it extremely productive (21 packages were produced!), but in between the crazy productivity was some epic community building.

Read On →


Visualizing Regression Results

My unsolicited thoughts on representing regression results well. Aka, my best attempt at a hard thing.

Read On →


ENAR in words

I had an absolutely delightful time at ENAR this year. Lots of talk about the intersection between data science & statistics, diversity, and great advancements in statistical methods. Since there was quite a bit of twitter action, I thought I'd do a quick tutorial in scraping twitter data in R.

Read On →


Introducing shinyswipr: swipe your way to a great Shiny UI

Recently we have been working on a shiny app that mimics tinder for preprints. One of the more exciting things we've done in this app is implimented a swiping input. Now you can to with the package shinyswipr.

Read On →


Intro to GMD

Lucy and I have made a simple package that allows you to pull down a collaborative google doc directly into an RMD file on your computer. Hopefully speeding up the process of writing collaborative statistical documents.

Read On →


The dire consequences of tests for linearity

This is a tale of the dire (type 1 error) consequences that occur when you test for linearity 😱

Read On →


The prevalence of drunk podcasts

For today's rendition of I am curious about everything, in Hilary Parker & Roger Peng's Not So Standard Deviations Episode 32, Roger suggested the prevalence of drunk podcasting has dramatically increased - so I thought I'd dig into it.

Read On →


Yoga for modeling

A New Year's resolution for all of our models: get more flexible! By flexible, we mean let's be more intential about fitting nonlinear parametric models.

Read On →


CatterPlot thank you note

Lara Harmon has put in countless hours to build and uplift the ASA Student community. We are SO grateful.

Read On →


Custom JavaScript visualizations in RMarkdown

Recently RStudio added JavaScript chunks to RMarkdown. This makes many exciting things possible. Among these things is making your own custom JavaScript visualizations of data managed in R, all without leaving the .Rmd document. This is a quick walkthrough of doing just that.

Read On →


Regression modeling strategies: a student's perspective

Nick and I are starting a series following Frank Harrell's Regression Modeling Strategies course. Get ready for some crazy fun.

Read On →


dplyr thank you note

It's that post-holiday time of year to write some thank yous! I'm getting excited to attend rstudio::conf next week, so in that spirit, I have put together a little thank you using dplyr

Read On →


Wait, what are P-values?

P-Values are annoying, let's understand them so we dont get beaten by them.

Read On →


Hill for the data scientist: an xkcd story

This was inspired by Hilary Parker & Roger Peng's Not So Standard Deviations Episode 28. It was suggested that it would be useful to lay out Hill's criterion for data scientists, I agree!

Read On →


See all posts