This is a README for the Coursera Getting and Cleaning Data Project.
This README will describe how this script works and any special details about how to operate the script.
This program Merges the training and the test sets to create one data set. It re-labels all the columns to match the corresponding features and activities.
It extracts only the measurements on the mean and standard deviation for each measurement and then exports a tidy dataset to a file called "tidyData.csv"
A second, independent tidy data set with the average of each variable for each activity and each subject is created an exported as "averages.csv".
This script requires the R library "sqldf" to be installed to properly function.
To run this script SELECT-ALL and push Command+Enter (Mac) or Control+Enter (Windows).
Two output files are created by this script in your working directory:
- tidyData.csv
- averages.csv