TidyDataProject

run_analysis.R performs the following tasks:

1. Read in the following files:

   • X_test.txt
   • X_train.txt
   • y_test.txt
   • y_train.txt
   • subject_train.txt
   • features.txt

2. Assign the descriptive column names to the test & train datasets

3. Find the "mean()" & "std()" columns in features.txt

4. Subset test & train to keep only the "mean()" & "std()" columns

5. Assign the descriptive activity names to the values in y_train & y_test

6. Attach the activity & subject columns to their respective train & test sets using cbind

7. Merge test & train data sets using rbind

8. Calculate the average of each variable for each activity and each subject using agggreate with the mean function