Run_analysis ReadMe file

The script performs the following tasks:

• combines the test and train data into one dataset,
• subsets the data to only keep variables relating to mean and standard deviation (meanFreq variables are deleted)
• converts the activity numeric ids into their descriptive names (eg standing, sitting, etc),
• creates labels for the variables from the features.txt file, and makes the names R-friendly
• creates a tidy data set with the average of each variable for each activity and each subject

When running this script, you will need to have the following files in your working directory:

    1. subject_test.txt
    2. subject_train.txt
    3. X_test.txt
    4. X_train.txt
    5. y_test.txt
    6. y_train.txt
    7. features.txt
    8. activity_labels.txt

To run the script:

• Put the run_analysis.R file in your working directory
• On the command line, enter source("run_analysis.R") and hit enter
• On the command line, enter run_analyis()

The script will output two files in your working directory:

1. "all_data.txt" - the dataset created after implementing steps 1 through 4 of the course project instructions.
2. "tidy_data.txt" - the dataset created after implementing step 5 of the course project instructions.