Statistical Programming in R
Statistical Programming in R
  • Syllabus
  • Schedule
  • Materials
  • Assignments
  • Resources
Overview
  • Materials Overview
Lectures
  • Lecture 1: Intro to R & Data Science
  • Lecture 2: R & Rmarkdown
  • Lecture 3: Visualization with `ggplot2`
  • Lecture 4: Data Wrangling with `dplyr`
  • Lecture 5: Exploratory Data Analysis
  • Lecture 6: Advanced Data Wrangling with `dplyr`
  • Lecture 7: Tidy data and `tidyr`
  • Lecture 8: Relational Data and Joins
  • Lecture 10: Working with strings and `stringr`
  • Lecture 11: Factors and Dates
  • Lecture 12: Functions & Control Flow
  • Lecture 12: Loops & Iteration
Readings
  • Readings Week 1
  • Readings Week 2
  • Readings Week 3
  • Readings Week 4
  • Readings Week 5
  • Readings Week 6
  • Readings Week 7
  • Readings Week 8
  • Readings Week 10
  • Readings Week 11
  • Readings Week 12
  • Readings Week 13
  • Contents

Readings Week 3

Due by 11:20 AM on Thursday, February 4, 2021
  • Read R4DS Chapter 3
  • Read Four Big Dataviz Myths, Busted

Last updated on February 1, 2021

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STAT 412/612: Statistical Programming in R (Spring 2021)
American University    Department of Math & Statistics

Kelsey Gonzalez    KelseyGonzalez@American.edu

M & Th    11:20 - 12:45 EST

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Content 2021 Kelsey Gonzalez

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