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How To
R for Data Analysis
R
R Setup
R Basics
Vector - DF - Matrix
Basics - General R
Import - Export
Basics - In & Out
Scraping a PDF
Web Scraping
Tidy Data
Clean & Manipulate
Clean & Edit
Filter & Subset
Conditionals & Looping F
Functions
Join & Merge
Summarize & Arrange
Dates & Times
Missing Values - NA
Sample Data
EDA - Visualization
Graphic Devices
Base - Start
Base - EPA EDA 1
Base - Power EDA 2
ggplot - Defined
ggplot - qplot
ggplot - Variation
ggplot - Covariation
ggplot - Sample 1
ggplot - Sample 2
Lattice - Background
gt - Table
Clustering
Case Studies
BikeShare R & Tableau
Samsung Fitbit - Tidying
Samsung Fitbit - Clusters
EPA - EDA 1
EPA - EDA 2
EPA - EDA 3
Fitbit - Reproducible
Severe weather effects - US
WellaBeat
CompareCare
How To
Import & Export
Merge
Assign Colnames
Extract Columns
Extract Rows
Match & Intersect
Group & Calculate
Convert Column
Percent & Summary
Combine Columns
On this page
How To
How To
R for Exploratory Data Analysis
This page I’ll cover common processes I’ve used over and over again