Appendix
Fundamentals of Wrangling Healthcare Data with R
Fundamentals of Wrangling Healthcare Data with R
Overview
Welcome to R
1
Setting up your workspace
2
Getting Started with R
3
The
tidyverse
Feature Engineering & Data Visualization
4
Feature Engineering
5
The Anatomy of
ggplot
From Exploratory Data Analysis to Predictive Models
6
Two Factor Classification with a Single Continuous Feature
7
Two Factor Classification with Categorical and Continuous Interactions
Data Science At Scale
8
Functional dbplyr, purrr, and furrr
9
Exploratory Data Analysis at Scale
Time Series and Random Forest
10
Random Forest Date/Time Modeling Example
Communication, Packages, & Git
11
Quarto & RMarkdown
12
Shiny
13
Create an
R
package
14
Git
Appendix
15
Difference between pipes in R
16
Additional Feature Engineering
References
Appendix
Code
14
Git
15
Difference between pipes in R
Source Code
# Appendix {.unnumbered}