#README: run_analysis.R

This script will:

1. Download and unzip the data files from the website.

2. Read and combine the test files (subject_test.txt, y_test.txt, and x_test.txt) with meaningful column headings (features.txt) and decoding the activities (activity_labels.txt).

3. Read and combine the train files (subject_train.txt, y_train.txt, and x_train.txt) with meaningful column headings (features.txt) and decoding the activities (activity_labels.txt).

4. Combine the test and train files.

5. Extract the measurements that include mean() and std() in their column headings.

6. Create an anlysis (tidy) dataset by computing an average for each measure at the subject/activity level.

7. Create column headings that reflect the summarization and name of the measurement.

8. Write the analysis dataset out to a text file.