#Getting and Cleanind Data Course Project ##The script run_analyis.R performs the following steps:

• the following files are loaded into dataframes: ++ the test and training set, labels and subjects ++ features ++ activity labels
• the test and training set dataframes receive column headers based on the feature labels
• the code in the test and training label dataframes is replaced by the explicit activity label
• the columns based on mean and standdard deviations are selected by using a regular expression
• the labels and data are merged for both training and test dataframes
• BOTH test and training data are merged
• the final data set with averages on the activities and subjects is returned
• the output is saved to the file tidydataset.txt