Lecture 0: Introduction to R
Mathematics:
- Vectors & Matrices
- Matrix Algebra
- Functions
Programming:
- What is a Programming Language?
- Programming & Natural Language: Similarities and Differences
R:
- What is the R Language?
- CRAN & Packages
- Objects and Functions
- R Environment
- R messages
- The R GUI
- The RStudio IDE
- Working with the RStudio IDE
- How to write R code: style guidelines
Basic R:
- Assignment Operator and Variables
- Some fundamental R commands
- Arithmetic with R
- Data Types
- Data Structures
- Accessing values & Subsetting
Intermediate R:
- Relational Operators
- Logical Operators
- Conditional subsetting
- Conditional Statements
- Looping Together
- Functions
Extra Topics:
- Tidy Data
- Importing Data with R
- Statistics
Lecture 0: RMarkdown
RMarkdown
Lecture 1: Tidyverse Basics
Tidyverse:
- Core Tidyverse
- Import
- Wrangle
- Program
- Model
R Code Evaluation Methods:
- Standard Evaluation
- Non-Standard Evaluation
- Tidy Evaluation
Pipe Operator:
- Basic Piping
- Argument Placeholder
- Re-using Placeholder for Attributes
Tibble:
- Tibble Structure
Stringr:
- Modify
- Count Patterns
- Detect Patterns
- Extract Patterns
- Removing & Replacing Patterns
- Trimming
- Testing Patterns
- Base R Functions
Forcats:
- Count Levels
- Order Levels
- Modify Levels
Lubridate:
- Parse
- Differences
- Extract Time Periods
- Round
Readr:
- Readr
- Readxl
Lecture 2: Tidyverse Wrangling
Tidyr:
- Column Headers
- Multiple Variables
- Variables in Rows and Columns
- Multiple Types
- One Type in Multiple Tables
Dplyr:
- Rows
- Columns
- Groups
- Joins
- Utilities
Dbplyr:
- Dplyr database backend
Lecture 3: Tidyverse Visualization
Ggplot2:
- Initialization
- Aesthetics Mappings
- Geometries
- Statistical Transformations
- Position Adjustments
- Coordinate Systems
- Facets
- Other Useful Graphical Designs
Plotly:
- Ggplotly conversion
Lecture 4: Tidyverse Functional Programming
Purrr:
- For Loop vs Functionals
- The Map Functions
- The Power of Mapping
- Mapping Over Multiple Arguments
- Invoking Different Functions
Lecture 5: Tidymodels
Tidymodels:
- Recipes
- Engines
- Modelling
- Predicting
Lecture 6: Flexdashboard UI
Static UI:
- Layouts
- Components
- Sizing
- Paging
- Storyboards
- Sidebars
Lecture 7: Flexdashboard UI - Shiny
Interactive UI:
- Basic Shiny Components
- Inputs
- Rendering Functions
- Shinywidgets, Shinyjs, Shinymanager