Introduction to R

In this section you can find all of the associated lecture materials which includes pdfs (), R Markdown files which were used to build the slides (), and the links to the recorded workshops ().

tldr:

An overview of R, RStudio and github. The focus is on orienting users to R via R Studio and getting comfortable within the IDE.

Files



Good Programming Practices

tldr:

Reviewing good programming and data project practices to improve code and reproducibility.

Files



Cleaning Data

tldr:

Learn basic data manipulation through the use of the dplyr and tidyr packages. This includes transforming data between wide and long formats, combining columns and making new calculated columns.

Files



Introduction to Data Types

tldr:

A Gentle introduction to the different ways R represents (stores) data.

Files



Dealing with Dates and Times

tldr:

Learning how to convert, manipulate, and do calculations on R date time objects through the lubridate package.

Files



Factors

tldr:

An overivew of how to manipulate categorical data represented in R as “factors” via the lubridate package. This includes a brief introduction to modeling in R.

Files



Plotting with ggplot2

tldr:

An overview of how to create publication quality graphics through the ggplot2 package. A little discussion of the Grammar of Graphics upon whose philosophies ggplot2 is built.

Files





Introduction to R
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Michael DeWitt


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