Together with Oliver Nakoinz I’ll team-teach a winter school on classification methods for archaeology in R next year. It’ll be in German, because there is a lack of German statistical tutorials for archaeologists and we’ll be creating an open and free tutorial in this class. Apply until end of the year to join us!
I’ve been writing an article in which I use a one-dimensional kernel density estimation (KDE). After some thought (and peer review ;-P ) I decided, I needed to visualise how it works. I couldn’t find any R-code on how to do this online, soooo here it is: My R-code on how to produce a graph which may help explaining KDEs.
This is my series on teaching statistics with cartoons. Finally we’re getting to “statistical” examples: Figures, graphs, visualisation techniques… Have fun with implementation no. 3: Descriptive statistics!
I’m teaching a course on quantitative methods, R and archaeological data and my students have to realize their own project in that course. That means they ask me a lot of very sensible questions. Here I will write about workflows I find useful as documentation for the future. First things first: Data wrangling!
This is my series on how to teach statistics with the help of cartoons. I want to share my fun, but there are too many for just one blog post, therefore I created a series. On to implementation numero 2: Cartoons on Data
There are quite a number of cartoons out there, which feature jokes on statistics and which I use in my quantitative methods for archaeologists class. I want to share my fun, but there are too many for just one blog post, therefore: Let a new series be born!
I’ll begin the series with more general statistical topics in cartoons.
Why use such complicated stuff, which is concerned with numbers, probability, density, tests, and all that which we hated in school? Why oh why?!
Fact is, archaeologists produce huge amounts of data.