## Notes on Citing R and R Packages

Who, what, where, when and which

Who, what, where, when and which

But mostly how contrast matrices are computed

Lists are trees

Cool 8-bit music plays over a montage of me editing R code

What went wrong?

Including plotting code as an annotation on a plot

Now you can have Fairy Floss in quarterly-report.docx

Find a match() in your base R library

A lesson from debugging source()

A simulation study of the mighty Slay the Spire relic

`&&`

as a stricter `&`

A crash course on the ands and ors in R

Weighted wiggles and smoothed categories

Tidying and splitting model summaries for inline reporting

Less Q Q, more pew pew

What looks plausible, what fits, what does both

Creating a diagram to illustrate information borrowing (partial pooling)

beep boop the intraclass correlation indicates STRONG interrater reliability

It culiminates in a highlighted math equation.

Randomly sampling subsets of data

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It’s getting faster. Moving faster now. It’s getting out of hand

Wait, what’s wrong with seven ifelse statements?

No, not the cha-ching kind of machine

Making a graph, connecting nodes twice

The ggplot2 version of multiplying by 1

Bottling up magic spells

This time in LaTeX

The tidyverse version of dataframes

There are a lot of bilabial sounds in that title

Plus some growth curve analysis!

Modeling left-handedness in Stan

The coupon collector’s problem

Doing the same thing over and over again

Summarizing many, many lines of fit

Trial by 🔥

Creating an RSS feed for R blog posts.

Some basic uses of nonstandard evaluation.

That pesky ampersand.

Useful Github page alert: Dean Attali has started collecting links to RStudio addins, including the one I made for wrapping text in RMarkdown.

Because the functions expect a list of expressions.

Posterior predictive values and the like.

Code doesn’t lie.