Getting and Cleaning Data - Coursera Homework

• run_analysis.R works following step.
• Merges the training and the test sets to create one data set.
• Extracts only the measurements on the mean and standard deviation for each measurement.
• Uses descriptive activity names to name the activities in the data set
• Appropriately labels the data set with descriptive activity names.
• Creates a second, independent tidy data set with the average of each variable for each activity and each subject.

Dependencies

• Requries reshape2 package.

Notes

• Only vaiables containing mean() & std() are used(not meanFreq() or something like theses).

Constructed using the following:

> version
platform       Windown
arch           x86_64
os             Windown 7 x64
R version      3.1.0 x64

Running

• Structure

~/current_directory/
------| ~/current_directory/run_analysis.R
------| ~/current_directory/data/

• Download data from https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip. and unzip to the folder ~/current_directory/data/

$ Rscript run_analysis.R

Output: tidy_data.txt