Dr. Spielman is no longer affiliated with Rowan University.
You can reach Dr. Spielman
at stephanie.spielman@gmail.com.
Content below is preserved from Fall 2021, although links to Shiny
Apps are mostly dead. Most Shiny Apps live in the ds4b.materials
(which is also not well maintained).
This website contains all materials used in BIOL 01301 Fall 2021 at Rowan University with Dr. Spielman. (Are you a former student looking for your semester’s version of this website? Email Dr. Spielman!)
Scheduled topics are subject to change up until the week before, depending on class pace. Homeworks will be made available no later than one week in advance of their deadlines.
| Date | Topic | In-class materials and other resources | Assignment DUE to Canvas by 2 PM |
|---|---|---|---|
| W 9/1 | Introduction and class logistics | - | - |
| R 9/2 | Types of data and figures | “Types of data and figures” interactive exercises | - |
| M 9/6 | No class: Labor Day | - | - |
| W 9/8 | Types of data and figures | “Types of data and figures” interactive exercises | - |
| R 9/9 | Concepts in tidy data | Tidy data paper | - |
| M 9/13 | Introduction to R and RStudio | “Introduction to R”
exercises Introduction to R stand-alone tutorial |
- |
| W 9/15 | Introduction to R and RStudio | “Introduction to R” exercises | Homework 1: Identifying data types and figures Link to Instructions Link to Answer Sheet |
| R 9/16 | Exercise Recap and Introduction to RMarkdown | Rmarkdown activity | - |
| M 9/20 | The grammar of graphics, Part 1 | Slides | - |
| W 9/22 | The grammar of graphics, Part 2 Homework 1 Review |
Same slides as Monday 9/20 | HW2 DEADLINE POSTPONED TO FRIDAY 9/24/21 - SEE
CANVAS ANNOUNCEMENT Homework 2: Using R and RMarkdown Link to Instructions Starting and submitting HW2 video Additonal (important!) help videos ALSO: watch/follow this video to setup RStudio Cloud/Github and complete Canvas assignment: “Proof of RStudio Cloud/Github Setup” |
| R 9/23 | Open work day | - | |
| M 9/27 | Introduction to ggplot2 |
Reference
slides In-class script: Intro to ggplot2 (Upload this to your RStudio Cloud
project to open it) |
- |
| W 9/29 | More ggplot2 |
Sets 1-5 of
“Introduction to ggplot2” exercises “Line-by-line” application In-class script: More ggplot2 (Upload this to your RStudio Cloud project
to open it) |
Homework 3: Grammar of Graphics Link to Instructions Link to Answer Sheet |
| R 9/30 | Open work day | - | |
| M 10/4 | Best practices in data visualization | Slides | Nothing due today, but watch Part 6 “Calling Bullshit” for Wednesday |
| W 10/6 | Critiquing data viz Customizing your plots in ggplot2 |
In-class script: Facets and palettes | Watch Part 6 video playlist (~1 hour) from “Calling
Bullshit”: Link from “Calling Bullshit” class website Direct YouTube link Homework 4: Data visualization with ggplot2Link to Instructions |
| R 10/7 | Introduction to exploratory data analysis | In-class activity | Background reading: “A hypothesis is a liability” |
| M 10/11 | Reading and writing data | Reference:
reading and writing data and saving figures Download in-class activity |
Background reading: “FILE NOT FOUND” |
| W 10/13 | Reading and writing data Introduction to data wrangling with dplyr and tidyr |
See Canvas for spreadsheet links In-class activity from Monday continued |
Homework 5: Exploratory data analysis with
ggplot2 Link to instructions |
| R 10/14 | Data wrangling with dplyr and
tidyr II |
In-class
dplyr script from W 10/13- R 10/14 |
- |
| M 10/18 | Data wrangling with dplyr and
tidyr III |
Introduction to
dplyr exercises Set 1 |
- |
| W 10/20 | Introducing #tidytuesday extra credit Data wrangling with dplyr and tidyr IV |
Introduction to
dplyr exercises Sets 1-3 |
Homework 6: Introduction to data wrangling and
visualization Link to instructions |
| R 10/21 | Data wrangling with dplyr and
tidyr V |
Introduction to
dplyr exercises Sets 2-3 |
- |
| M 10/25 | Data wrangling with dplyr and
tidyr VI |
Introduction to
dplyr exercises Sets 2-3 |
- |
| W 10/27 | Exploratory analysis II | Peer review plots | - |
| R 10/28 | Open work day | Resource: Modifying figure sizes | Homework 7: More data wrangling and visualization due
FRIDAY 10/29 at 11:59 PM Link to instructions |
| M 11/1 | Data reshaping (“pivoting”) with tidyr
I |
HW1 tidy data redux | - |
| W 11/3 | Data reshaping (“pivoting”) with tidyr
II |
In-class activity: Let’s do HW9! | Homework 8: Exploratory analysis of coffee ratings Link to instructions |
| R 11/4 | Introduction to machine learning | Slides | - |
| M 11/8 | Linear modeling I | Same slides as R 11/3 RMarkdown activity: linear_modeling |
- |
| W 11/10 | Linear modeling II | Same slides/activity | Homework 9: Data reshaping with tidyr Link to instructions |
| R 11/11 | Linear modeling III | Same slides/activity | |
| M 11/15 | Introduction to logistic regression | Slides | - |
| W 11/17 | Logistic regression II | RMarkdown activity:
logistic_regression |
Homework 10: Linear modeling Link to instructions |
| R 11/18 | Logistic regression III | Same slides/activity | - |
| M 11/22 | Introduction to UNIX I | Cheatsheet | - |
| W 11/24 | CLASS IS OVER ZOOM TODAY!! Introduction to Final Project |
Link to
proposal and project instructions Link to proposal Rmd template |
Homework 11: Logistic regression Link to instructions |
| R 11/25 | No class: Thanksgiving | - | |
| M 11/29 | Introduction to git and GitHub |
Cheatsheet Graphical Cheatsheet |
- |
| W 12/1 | git and GitHub, continued |
- | Homework 12: Final Project Proposal. This homework
may NOT be dropped. (The below links are the same as those shown on 11/24) Link to instructions Link to Rmd template |
| R 12/2 | Final Project Setup | - | - |
| M 12/6 | Open Work: Final Project | - | - |
| W 12/8 | Optional Grabbag! How to make your own website Setting up R/RStudio on your computer Statistical tests in R |
- | - |
Final project due Tuesday December, 14th by 11:59 PM. Link to instructions