R

Curriculum

8 chapters, each with a tutorial, a live example, a quiz, an exercise, a challenge, and class practice.

1. 1

   Introduction to R

   Vectors, and R's statistics-first design.

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2. 2

   Vectors & Data Types

   Numeric, character, and logical vectors.

3. 3

   Data Frames

   R's table-like structure for real datasets.

4. 4

   Control Flow

   if/else and for/while loops in R.

5. 5

   Functions

   Defining reusable functions in R.

6. 6

   ggplot2 Basics

   Building layered, grammar-of-graphics plots.

7. 7

   dplyr Basics

   filter, select, mutate, and pipe syntax.

8. 8

   Statistical Functions

   Distributions, tests, and summary statistics.