Getting-and-Cleaning-Data-Course-Project

Steps to produce output:

1. Initializing libraries (reshape2)
2. Reading in resources that will be used for both training and testing datasets (activity labels, and variable names)
3. Reading and preparing datasets (training and testing)
4. Read dataset
5. Naming columns
6. Adding subjectIds
7. Adding activity labels
8. Add the rows of the two datasets
9. Subset the columns of the dataset to include only mean and sd data
10. Recode activity labels to text
11. Melt data by subjectId and activityId
12. Cast melted data to get mean and sd of variables
13. Save data with the mean of variables
14. Output data with the mean of variables