We’ve all spent hours and hours on google trying to find that one tiny (or big) thing we want to do in R. Here’s a collection of a few things I’ve figured out (with lots of help and links to the original tutorials I’ve used) that may be of interest.
Data Cleaning
I walk through how to use popular Tidyverse packages (dplyr, tidyr, readr) to wrangle data. Example here uses coral reef benthic data from a citizen science program.
Data Visualization for Likert Data
In this tutorial, I breakdown how to take your likert-based questions (e.g. ranking something on a scale of 1-5), assign scores, and plot horizontal distribution bar graphs. Also includes some tips on formatting, grouping, and making summary tables.
Visualizing Results of Mixed Effects Models
Simple examples of how to plot results fixed and random effects, create easy summary tables (effect size, confidence interval, pvalue), and plot raw data & model estimates together.