Date & Time: Pre-recorded
Instructors:
- Matt Hielsberg | Texas A&M’s Department of Mathematics | hielsber@tamu.edu
- Jian Tao | Texas A&M’s Department of Visualization | jtao@tamu.edu
R and Statistics Tutorials
Learning Objectives
- Create and manage R projects using the R console, RStudio, RStudio Cloud, Google Colab, and Jupyter Notebook
- Use the built-in help system to find details on functions, packages, and data sets
- Write and evaluate expressions using variable names
- Understand name resolution and conflicts
- Use basic data structures including vectors, lists, factors, and data frames, among others.
- Understand and use various control flow mechanisms, and how to replace looping structures using apply
- Write functions, understand argument lists, use named and unnamed arguments including default values
- Understand and utilize short-circuit and lazy evaluation
- Find, install and load packages from CRAN
- Read/Write basic custom data files
- Visualize data using ggplot and other plotting tools
Session Content
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