As I'm working on more experiments, I've been growing a sort of collection of home-made functions that I use. This is that collection.
For example, in one of my papers, I'm using something called "sliding contrast coding", also known as "forward/backward difference coding". R doesn't have a base function that makes this contrast matrix, so I made my own, tweaking the code from stats::contr.helmert() to make: zplyr::contr.slide(). Evidently that was already a function, MASS::contr.sdif(), but I didn't know that ahead of time.
Or another, less intelligent example of code in here comes from that until second year of grad school, I always thought that dplyr::summarise() completely ungroups the data frame before returning it. I found out that actually, it just peels back the last grouping element.
To make sure all of my code was "safe," I went back and substituted summarise for my own code, zummarise which is just a nse wrapper for summarise_ that also ungroups the dataframe aferwards. Sometimes this is helpful if you're piping into code that doesn't play nice with grouped tibbles.
There are also a bunch of ggplot2 "shortcuts" that I've made for graphing things. Pretty much all of this code was written before the amazing dplyr revamp, so some of the nonstandard evaluation stuff I wrote seems pretty hacky now in comparison, but I've also updated some of it now to be sexier.
Pretty much everything is built off dplyr, purrr, and rlang!