---
title: "README"
author: "NML DesJardins"
date: "June 21, 2015"
output: html_document
---
This README accompanies the run_analysis script and the CodeBook for the
Data Science Specialization - Getting and Cleaning Data - Course Project.

The ***run_analysis.R*** script obtains the raw data from the source provided
in the assignment. The original data were split into training and test samples
to facilitate machine learning. This script merges the training and test samples
back together into a single dataset that contains subject identifiers. 
After merging the files, the script:  
* Labels the variables according to the features.txt file  
* Selects only those variables that provide means and standard deviations  
* Generates a variable that provides descriptive names for each activity (instead
of indexing them by number only)  
* Writes the resulting dataset to a text file (data.txt)  

Finally, the script generates a second dataset (agg_data.txt) that aggregates
the measurements from data.txt across activity and subject. In this dataset,
each row contains the average measurement (either the average of the mean or
the average of the standard deviation) for each variable for a single activity
for a single subject.