Running the script

• Clone this repository
• Download the data set and extract. It should result in a UCI HAR Dataset folder that has all the files in the required structure.
• Change current directory to the UCI HAR Dataset folder.
• Run Rscript <path to>/run_analysis.R
• The tidy dataset should get created in the current directory as tidy.txt
• Code book for the tidy dataset is available here

Assumptions

• The training and test data are available in folders named train and test respectively.
• For each of these data sets:
  • Measurements are present in X_<dataset>.txt file
  • Subject information is present in subject_<dataset>.txt file
  • Activity codes are present in y_<dataset>.txt file
• All activity codes and their labels are in a file named activity_labels.txt.
• Names of all measurements taken are present in file features.txt ordered and indexed as they appear in the X_<dataset>.txt files.
• All columns representing means contain ...mean() in them.
• All columns representing standard deviations contain ...std() in them.