The run_analysis.R script cleans, and prepares tidy data using the "Human Activity Recognition Using Smartphones" Dataset as follows:

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

##Source Dataset The source dataset can be downloaded from: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

##Run Extract the UCI HAR Dataset folder and place the run_analysis.R inside it, before executing the script.

##Output The run_analysis.R produces tidyData.txt file. See CodeBook.md for details about the contents of the output file

##Reference [1] Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra and Jorge L. Reyes-Ortiz. Human Activity Recognition on Smartphones using a Multiclass Hardware-Friendly Support Vector Machine. International Workshop of Ambient Assisted Living (IWAAL 2012). Vitoria-Gasteiz, Spain. Dec 2012

##Disclaimer This dataset is distributed AS-IS and no responsibility implied or explicit can be addressed to the authors or their institutions for its use or misuse. Any commercial use is prohibited.