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 -'df_final.txt': a tab-deliminated text file of the final tidy dataset
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.