chadmaughan / coursera-getting-and-cleaning-data-course-project

Course Project: Getting and Cleaning Data (2014-12)

Installation

• Checkout this repository (note the location where cloned)
• Download the data to the cloned repository path (from previous step): https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
• Unzip the data with default options unzip getdata-projectfiles-UCI HAR Dataset.zip

Data directory structure should look like this now (only shown 2 levels deep):

UCI HAR Dataset
├── README.txt
├── activity_labels.txt
├── features.txt
├── features_info.txt
├── test
└── train

Dependencies

The script run_analysis.R depends on the libraries plyr and dplyr. The script will install the packages if not already available.

Analysis

• Source the script from your R environment: source("run_analysis.R")
• Produces a file with the tidy data at averages.txt

Codebook

Information about the datasets is provided in CodeBook.md