The IQUIT R video series

teaching

A series of introductory R videos.

Maxwell B. Joseph true
2015-08-28

I’ve uploaded 20+ R tutorials to YouTube for a new undergraduate course in Ecology and Evolutionary Biology at CU developed by Andrew Martin and Brett Melbourne, which in jocular anticipation was named IQUIT: an introduction to quantitative inference and thinking.

We made the videos to address the most common R programming problems that arose for students in the first iteration of the course. These short tutorials may be of use elsewhere:

Introduction to R

Numeric vectors: 1

Numeric vectors: 2

Functions in R

Creating special vectors: sequences and repetition

Relational operators and logical data types

Character data

2-d data structures: matrices and data frames

Intro to indexing: matrices and vectors

Data frame subsetting and indexing

R style & other secrets to happiness

Working with data in R: 1

Working with data in R: 2

Visualization part 1: intro to plot()

Visualization part 2: other types of plots

Visualization part 3: adding data to plots

Visualization part 4: annotation and legends

Visualization part 5: graphical parameters

Looping repetitive tasks

Summarizing data

Randomization & sampling distributions

Debugging R code 1: letting R find your data

Debugging R code 2: unreported errors

Replication and sample size

Conveying uncertainty with confidence intervals while not obscuring the data

Differences in means

Toby Hudson [CC BY-SA 2.5 au (https://creativecommons.org/licenses/by-sa/2.5/au/deed.en)], from Wikimedia Commons

Figure 1: Toby Hudson [CC BY-SA 2.5 au (https://creativecommons.org/licenses/by-sa/2.5/au/deed.en)], from Wikimedia Commons

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/mbjoseph/mbjoseph.github.io, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".