Objective

run_analysis.R performs the 5 steps described in the course project's definition.

Merges the training and the test sets to create one data set. Uses rbind()
Extracts only the measurements on the mean and standard deviation for each measurement.
Uses descriptive activity names to name the activities in the data set
Appropriately labels the data set with descriptive variable names.
From the data set in step 4, it creates a second, independent tidy data set with the average of each variable for each activity and each subject.

#Extra package used ddply() from plyr package is used to simplify the coding

Variables

Source data from downloaded files stored in x_train, y_train, x_test, y_test, subject_train and subject_test variables
Merged data is stored in x_axis_data, y_axis_data and subject_data
features contains the correct names for the x_axis_data dataset
'x_axis_data_with_mean_and_sd' contains the column name with mean and sd
All data is merged into all_data
Average data required is stored in 'averages_data'