antyale / gettingcleaningdata

Repository for the project of Getting and Cleaning Data course

Description of run_analysis.R

The script downloads, unzip and creates a clean dataset from the Human Activity Recognition database. Then, the clean dataset is stored in a file named "clean_data.txt". The steps followed to create the clean dataset are:

• Extracts only the measurements on the mean and standard deviation for each measurement
• Add the descriptive activity names to the measurement datasets
• Add the subject to the measurement datasets
• Merge the training and the test datasets
• Calculates average of each variable for each activity and each subject

You can find more information about the clean dataset in the CodeBook.md file.

Requirements

• The script requires the package plyr
• The script requires internet connection to download the dataset file. If dataset.zip file is already in the folder then it does not need to download it again.

Author

Antonio Romero