#Coursera - Getting and Cleaning Data : Course Project
##Summary:
run_analysis.R does the following.
- Merges the training and the test sets to create one data set.
- 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 activity names.
- Creates a second, independent tidy data set with the average of each variable for each activity and each subject.
##Assumptions *The data set represents data collected from the accelerometers from the Samsung Galaxy S smartphone. A full description is available at the site where the data was obtained:
[http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones]
*Data for the project has been downloaded from the following link [https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip]
*Data files have been unzipped with sub directories. See README.txt in the top level of the unzipped directory for a list of files and contents.
*The R working directory has been set to the top level directory eg ~/UCI_HAR_Dataset
##Output *run_analysis.R creates a csv file mamed means.txt in the R working directory