UCI Human Activity Recognition Using Smartphones Tidy Dataset

This repo contains run_analysis.R, which will create a tidy dataset from the UCI Human Activity Recognition Using Smartphones Dataset [1] collected from the accelerometers from the Samsung Galaxy S smartphone. A full description of source data is available at the site where the data was obtained:

http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

Specifically, run_analysis.R will download:

https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip

And extract it in a directory named Data.

run_analysis.R will then process the data:

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 variable names.
5. Creates a second, independent tidy data set with the average of each variable for each activity and each subject.

The final tidy data set will be saved in the same Data directory, as TidyData.txt.

The Code book details the tidy data.

[1] Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra and Jorge L. Reyes-Ortiz. Human Activity Recognition on Smartphones using a Multiclass Hardware-Friendly Support Vector Machine. International Workshop of Ambient Assisted Living (IWAAL 2012). Vitoria-Gasteiz, Spain. Dec 2012