Authored by: Matt Rogman
The purpose of this project is to demonstrate the extraction and cleaning of a raw data set collected using a smartphone (Samsung Galaxy S II) during human physical activity. Visit the The UCI Machine Learning Repository for more information on this data set.
The source data can be downloaded here.
See CodeBook.md for a description of the variables, the data, and transformations performed on the dataset
You should create one R script called run_analysis.R that 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