Introduction

Reads in all of the data from each file and stores in separate variables
Merges the training and the test sets to create one data set.
Extracts only the measurements on the mean and standard deviation for each measurement using the names from features.txt
Uses activity names from activity_labels.txt to name the activities in the data set
Appropriately labels the data set with descriptive variable names.
Creates a tidy dataset with the averages of each subject and activity type

Variables

'train_x' - Contains training data for x measurements
'train_y' - Contains training data for y measurements
'train_sub' - Contains training data for subjects
'test_x' - Contains test data for x measurements
'test_y' - Contains test data for y measurements
'test_sub' - Contains test data for subjects
'compl_x' - Contains combination of test data and training data for x measurements
'compl_y' - Contains combination of test data and training data for y measurements
'compl_sub' - Contains combination of test data and training data for subjects
'features' - stores data from features.txt
'activities' - stores data from activity_labels.txt
'ptn' - stores RegEx pattern to extract mean and std dev columns
'ndexVec' - index vector of mean and std dev columns
'compl_data' - combination of all data relating to mean and std dev
'averages_data' - Data table for tidy data set of the averages for each subject and activity type