A Titanic Introduction To R

Workshops

Photo of the bow of the Titanic

Icebergs Ahead: An introduction to R

This is the first workshop in the Titanic Introduction to R (TITR) series. If you know enough about R to be interested in this workshop, you are qualified to take it.

By the the end of the workshop, participants will learn:

  • basic data management techniques
  • simple statistical tests
  • primary data types, vectors, and data.frames
  • practical skills such as filtering data
  • basics of RStudio

R-requisites: None.

Stats-requisites: Understand the basics of Null Hypothesis Signifiance Testing.

Titanic breaks in half

Women and Children First: Regression in R

This is the second workshop in the TITR series. You should have completed the first course or similar experience. This workshop reviews and builds on the data management skills introduced in "Icebergs Ahead".

By the the end of the workshop, participants will learn:

  • to build linear and logistic regression models
  • basic plotting techniques

R-requisites: Icebergs Ahead! or comparable experience using R

Stats-requisites: Understand concepts behind linear and logistic regression.

Crash test lab

Data Management in R

This is the third workshop in the TITR series. You should have completed the first course or similar experience. This workshop builds on the data management skills introduced in "Icebergs Ahead" by introducing an entirely new way to program in R using tidyverse.

By the the end of the workshop, participants will learn:

  • Basic piping syntax
  • Common functions used to prepare data for analysis

R-requisites: Experience using R

Stats-requisites: None.

Crash test lab

Relational Databases in R

This is the fourth workshop in the TITR series. You should have completed the first and third workshops or similar experience. This workshop builds on the data management skills introduced in "Data Management in R" by introducing ways to join and reorganize data using tidyverse.

By the the end of the workshop, participants will learn:

  • Merging data using tidyverse
  • Restructuring data using tidyverse

R-requisites: Experience using piping in R

Stats-requisites: None.

The first and second workshops were developed by Andy Choens and revised by Abigail Stamm.
The third and fourth workshops were developed by Abigail Stamm.

Additional contributors: Kelly Lu, Tom Robertson
All materials are free to use outside of these workshops. If you find them useful, please let us know, and have a great time!

Additional R Resources

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