Skip to main content

Statistics with R Notes

Table of contents

1 Introduction
2 Linear Regression
3 Classification
4 Resampling Methods
5 Linear Model Selection and Regularization
6 Moving Beyond Linearity
7 Tree Based Methods
8 Support Vector Machines
9 Deep Learning
10 Survival Analysis
11 Unsupervised Learning
12 Multiple Testing

1 Introduction

I am using this book to record condensed versions of my notes for various topics that I learn in self studying using R for statistics.

2 Linear Regression

On this page

1 Introduction

"Statistics with R Notes" was written by Michelle Gulotta. It was last built on 2024-01-29.

This book was built by the bookdown R package.