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Creating a tidy dataset from Human Activity Recognition Using Smartphones Dataset Version 1.0

Jessica Hrudey

Source: Jorge L. Reyes-Ortiz, Davide Anguita, Alessandro Ghio, Luca Oneto. "Smartphone-Based Recognition of Human Activities and Postural Transitions Data Set." Data obtained from: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip. Data obtained on: 3 May 2018

The downloaded data were combined and cleaned to create a tidy dataset consisting of the means of the measurements per participant per activity, for the variables that referred to mean or standard deviations in the original raw data

This repository consists of:

-'README.md' -'CodeBook.md': a description of the variables in the final, tidy dataset, df_final, and the manipulations required to create this tidy dataset -'run_analysis.R': the R script used to manipulate the raw data and create the tidy dataset, df_final

License: If this data is used in a publication, the following citation referencing the original authors of the data is required: 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

Jessica Hrudey. May 2018.