Stat 427: R Programming
Home
Course Logistics
Syllabus
Contact
Dates
Links
Lectures
Schedule
Module 1: Getting Started
Module 2: R Scripts
Module 3: Functions
Module 4: Basic Graphs
Module 5: Data Input and Output
Module 6: Iterative Data Processing
Module 7: Logic and Control
Module 8: R Markdown and Packages
Module 9: Mathematical Functions
Module 10: Data Validation, Cleaning, Combining Datasets
Module 11: Matrix Arithmetic
Module 12: Systems of Linear Equations
Module 13: Advanced Graphs
Module 14: Probability and Simulation
Module 15: Introductory Inferential Methods
Supplemental Topics
>
Module 16: Real World Examples
Module 17: Fitting Models to Data
Review
>
Intro Class lectures
Coursework
Instructions
Labs
Project
R
Code
Information
See Instructions link for lab submission instructions
There will be at least two ways to access the
data for
coursework:
Files will be on the website below (files include .txt, .csv, etc.)
Data loaded in R from either the base datasets or other package datasets
Data files can be saved to OneDrive and accessed from there or you can use the website link to read in the files from here
Labs, R scripts, Data, Keys
Lab 1
Lab 1
Lab1 key
Lab 2
Lab 2
Lab2 key
Lab3
Lab 3
Lab3 key
Lab4
Lab 4
Lab4 key
Lab5
Lab 5
Tsunami data
Lab5 key
Lab6
Lab 6
Lab6 key
Lab7
Lab 7
Lab7 key
Lab8
Lab 8
Lab8key
Lab9
Lab 9
Lab9key
Lab10
Lab 10
shoes tracker
mnth72007
mnth82007
mnth92007
Lab10key
Lab11
Lab 11
Lab11 key
Lab12
Lab12
Lab12 key
Lab13
Lab 13
Lab13 key
Lab14
Lab 14
Lab14 key
Lab15
Lab 15
Lab15 data
Lab15 key
Home
Course Logistics
Syllabus
Contact
Dates
Links
Lectures
Schedule
Module 1: Getting Started
Module 2: R Scripts
Module 3: Functions
Module 4: Basic Graphs
Module 5: Data Input and Output
Module 6: Iterative Data Processing
Module 7: Logic and Control
Module 8: R Markdown and Packages
Module 9: Mathematical Functions
Module 10: Data Validation, Cleaning, Combining Datasets
Module 11: Matrix Arithmetic
Module 12: Systems of Linear Equations
Module 13: Advanced Graphs
Module 14: Probability and Simulation
Module 15: Introductory Inferential Methods
Supplemental Topics
>
Module 16: Real World Examples
Module 17: Fitting Models to Data
Review
>
Intro Class lectures
Coursework
Instructions
Labs
Project
R
Code
Information