Adding strings in R

Jonathan Carroll October 6, 2018 Code, Julia, R 4 Comments

This started out as a “hey, I wonder…” sort of thing, but as usual, they tend to end up as interesting voyages into the deepest depths of code, so I thought I’d write it up and share. Shoutout to @coolbutuseless…Continue Reading →

Constricted development with reticulate

Jonathan Carroll April 4, 2018 C++, Python, R 1 Comment

I’ve been using the reticulate package occasionally for a while now, so I was surprised to see that it had only just been officially released. reticulate: R interface to Python https://t.co/qVWmwoMQAP. Comprehensive set of interoperability tools including R Markdown Python…Continue Reading →

Thou shalt not compare numeric values (except when it works)

Jonathan Carroll September 4, 2017 R 6 Comments

This was just going to be a few Tweets but it ended up being a bit of a rollercoaster of learning for me, and I haven’t blogged in far too long, so I’m writing it up quickly as a ‘hey…Continue Reading →

Data Munging With R Preview — Storing Values (Assigning)

Jonathan Carroll June 26, 2017 R 1 Comment

Since about October last year, I’ve been writing an introduction to R book. It’s been quite the experience. I’ve finally started making time to document some of the interesting things I’ve learned (about R, about writing, about how to bring…Continue Reading →

2016 Australian Federal Election Flexdashboard

Jonathan Carroll August 1, 2016 R 1 Comment

democracysausage.org

Here in the land down under we’ve finally completed our Federal election. We complain that it seems to go on for too long, but it’s a brief distraction compared to the USA electoral process. I managed to do a small…Continue Reading →

Images as x-axis labels

Jonathan Carroll June 2, 2016 R 9 Comments

GDP per capita with flags for x-axis labels. This is harder to make than it seemed.

Open-source software is awesome. If I found that a piece of closed-source software was missing a feature that I wanted, well, bad luck. I probably couldn’t even tell if was actually missing or if I just didn’t know about it….Continue Reading →

From a (set.)seed grows a mighty dataset

Jonathan Carroll May 30, 2016 R 3 Comments

CC-BY USDA [https://www.flickr.com/photos/usdagov/16024807396/]

Can you predict the output from this code? Okay, the first bit is straightforward; it’s a function that puts two string together into one. The next two lines appear to provide a random integer to the set.seed function then sample…Continue Reading →