#CodeBook.md
• x_train , y_train , x_test , y_test , subject_train and subject_test contain the data from the downloaded files.
• x_data , y_data and subject_data merge the previous datasets to further analysis.
• A similar approach is taken with activity names through the activities variable.
• All_data merges x_data , y_data and subject_data in a big dataset.
• Finally, averages_data contains the relevant averages which will be later stored in a .txt file. ddply() from the plyr package is used to apply colMeans() and ease the development
##Variables
mean() : mean values of multiple measurements of the original variables. Type: Real number
std(): Standard deviation of multiple measurements of the original variables. Type: Real number
activity_id: Identifier, identifying the activity of each subject Type: Integer Values: 1 : 6
activity_name: Name of each subject's activity Type: Factor Values: WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING
subject_id : Identifier, identifying each subject Type: Integer Values: 1 : 30