Research Guides: Introduction to R: Instructional Videos: Supporting Content

Overview

This research guide is the source for supplementary materials associated with the Introduction to R video series, which is hosted on the YouTube site for Florida Tech's Evans Library.

The boxes below allow users to download the following:

The PowerPoint presentation that corresponds to the videos.
Data Files referenced in the videos
R Script Files containing sample code explained in the videos.

PowerPoint Slides

The slides in the following PowerPoint file parallel the content presented in the Introduction to R video series:

An Intro to R
PowerPoint slides covering content from the Intro to R video series.

Data Files

The following datasets are used in coding examples presented in the Introduction to R video series:

Earthquakes
Data containing the dates, times, locations, strengths, and other characteristics of earthquakes.
Electricity Rates
Data comparing electricity rates across different utilities, states, service types, etc.
Paper Airplane Tests
Data on distances participants in a study were able to throw small and large paper airplanes.

R Script Files

The following are R Script Files containing sample R code explained in the Introduction to R video series.

01--Install any needed libraries.R
Setting up libraries in R
02--Creating, Importing and Getting Data
Creating data objects within R, importing data sets from outside of R, and built-in R data objects.
03--Specifying Elements in Data Objects
How to indicate rows and columns of interest in R objects
04--Inspecting Data Objects
How to gain an overview of R Data Objects
05--Popular Mathematical Functions
Mathematical functions commonly applied to R objects
06--Substituting, Reordering and Aggregating
Ways to substitute values within a data object, as well as ordering and aggregating data by one or more fields.
07--Exporting Data
How to export a data object to a comma-delimited (CSV) file.
08--Statistics
Examples of statistical operations and analyses that may be performed on R objects
09--Quick Plots
Examples of easily generated data plots
10--Fancy Plot
Example of how to create an elaborate data plot
11--Quick Text Functions
Examples of functions that may be used to process and manipulate text fields.
12--Working with Dates and Time
Functions for formatting date and time data

Other Potentially Useful Information

The following could be useful when developing R code: