Introduction to R

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.

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Good Programming Practices

tldr:

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

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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.

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Introduction to Data Types

tldr:

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

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Dealing with Dates and Times

tldr:

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

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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.

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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.

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Introduction to R
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Michael DeWitt


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