GettingDataProject

Repository for Course Project for Getting and Cleaning Data on Coursera

Content

This repository contains two files: run_analysis.R and CodeBook.md. The first one is a script developed to create a tidy data set from raw data. The second one is a markdown file that describes the variables, the data, and any transformations or work that have been performed to clean up the data.

Execution

To execute the script run_analysis.R it is necessary that the working directory contains the following files:

• activity_labels.txt
• features.txt
• a directory named test than contais subject_test.txt, X_test.txt and y_test.txt
• a directory named train than contais subject_train.txt, X_train.txt and y_train.txt

In addition, plyr package has to be installed on R. If it is not, it can be done using the command install.packages("plyr").

The script file has to be in the same directory, the command to execute is source("run_analysis.R"). This script reads the files listed above and merges the two data sets, test and train. It selects the columns that contains the mean or the standard deviation of the features and creates a new data set with the average value of the selected data. This tidy data set is stored in a file called tidy_data.txt.