Upgrade your workflow with drake
Drake is my new favourite R package. Drake is my new favourite R package.
Drake is my new favourite R package. Drake is my new favourite R package.
I'm creating an R API wrapper around my state's public transport service. To make life easier for the users, the responses from the API calls are parsed and returned as tibbles/data frames. To make life easier for me, I need to keep track of the API call behind each tibble. I do this by using the......
The last few weeks have been all about R package development for me. First I was exploring GitHub actions with the lovely people at the rOpenSci OzUnconf, and then I was off to San Francisco to learn about Building Tidy Tools with the Wickham siblings
There's a concept in R of an analysis as a package, in which everything you need for your data analysis is contained within a custom package. When you install the package and build the vignettes, the data analysis is per...
When I started this blog I wanted a way to share the quick little projects that distract me. I gave some thought to licencing, but I wanted to make sure that people could use my code if it had any value to them. This is just a little blog by a very unimportant guy---if someone got some use out of......
If you listen to university advertisements for data science masters degrees, you'd believe that data scientists are so in-demand that they can walk into any company, state their salary, and start work straight away. If you listen to university advertisements for data science masters degrees, you'......
Whenever I take an interest in something I think to myself, "How can I combine this with R?" Whenever I take an interest in something I think to myself, "How can I combine this with R?"
When I found myself using R in a corporate environment, my workflow went like this: When I found myself using R in a corporate environment, my workflow went like this:
That's it for \#useR2018. After 6 keynotes, 132 parallel sessions, many more lightning talks and posters, and an all-important conference dinner, we've reached the end of the week. That's it for \#useR2018. After 6 keynotes, 132 parallel sessions, many more lightning talks and posters, and an all......
These are my notes for the third and final tutorial of useR2018, and the tutorial I was looking forward to the most. I struggle with missing value imputation. It's one of those things which I kind of get the theory of, but fall over when trying to do. So I was keen to hear Julie Joss