Overview

The Guides are the "what is this and why would I use it" layer of the documentation. Each page walks through a family of methods — text, audio, video, pipelines — in plain English: what each method measures, when it is the right tool, and where the ideas come from, with pointers into the research literature so you can read further (and cite properly).

Those pages get you as far as a folder full of measures. Running Analyses is the one that picks up from there: which statistical question fits the data you have, what each answer actually tells you, and what to do with it once you have it.

If your data lives in a MySQL or PostgreSQL database rather than in files, Working with a Database is the page: setting up a connection (including one you reach over ssh), picking columns across tables, and getting the results written back as tables.

Taters also arrives with a bunch of ready-made dictionaries and archetypes. Built-in dictionaries and archetypes lists every one of them, what it measures, and the citation to use when it ends up in something you publish. The same goes for the prompts the LLM step ships with: Built-in prompts says what each one rates, on what scale, and which theory it comes from.

What you will not find here is an exhaustive list of every parameter. That lives in the API reference, one click away, and it stays there so these pages can stay readable.

If you would rather not write code at all, start with the Taters app: running taters in your terminal walks you through the same choices these guides explain and builds the whole analysis from your answers.