This is one set of exploratory data analyses that can be used to look at data sets initially. Please feel free to contribute to this repository if you would like to add your own methods of explorat…

Tutorials and code for the winter 2020 semester

We tested dtplyr functions against dplyr and data.table to see who was the fastest

This was a tutorial lead by Matt Brachmann on smaller tips and tricks in R.

A very thorough tutorial by Jacqueline May on how to use data.table.

Dr. Cam Nugent (https://cnuge.github.io) presented a great tutorial for learning how to implement functions in R. The tutorial covers what to do and what not to do when building functions.

Tutorial on the hier.part package by Dr. Ellen Esch at the University of Guelphs R users group

This is the code and presentation from Simon's tutorial on linear modelling and how/when to include random effects into the model.

This repository is for the code and data from a tutorial of the Ape R package presented by Dr. Adamowicz. The data is from the Barcode of Life Database (BOLD).

This is the code and pdf versions of the presentation Joey Burant made to present how and when to use map functions in the R users group (03/01/2019)

This is the first R users group looking at a free data set provided by the Tidy Tuesday Github repository from R for data science.

Code for tips and tricks for all R users

This code is for a quick review and refresher on dplyr and ggplot2. This code goes over some of the major functions that people use to manipulate data. This code also makes some nice plots and high…

This is the code and data associated with the tutorial presented by Cam Nugent on reading in and manipulating non-rectangular data in R.

The R code for Jack Robertson's tutorial on data visualization using ggplot2

This is some old code provided by Brent Saylor that we will work on cleaning up and make more readable

This is the code from week 3 of the University of Guelph's R users group on cleaning up data using the tidyverse

First UGRU tutorial for the fall 2018 semester