#Course Project
#run_analysis.R that does the following:
#1 Merges the training and the test sets to create one data set. #2 Extracts only the measurements on the mean and standard deviation for each measurement. #3 Uses descriptive activity names to name the activities in the data set #4 Appropriately labels the data set with descriptive activity names. #5 Creates a second, independent tidy data set with the average of each variable for each activity and each subject. #6 Steps to work on this course project
#Download the data source and put into a folder on your local drive. You'll have a UCI HAR Dataset folder. #Put run_analysis.R in the parent folder of UCI HAR Dataset, then set it as your working directory using setwd() function in RStudio. #Run source("run_analysis.R"), then it will generate a new file tiny_data.txt in your working directory. #Dependencies
#run_analysis.R file will help you to install the dependencies automatically. It depends on reshape2 and data.table.