repo for the submission of the course project of the the Coursera "Getting and Cleaning Data" course.
To run the code, simply follow the steps specified in the "Instructions" section.
Additional information about the variables, data and transformations can be found in the CodeBook.MD file.
- Download the source file and put into a folder on your local drive.
- Open an R editor.
- Run source("run_analysis.R"). It will download all the files needed for the analysis. After all the analysis have been done a new file "tidyData.txt" will appear in your working directory.
Use of this dataset in publications must be acknowledged by referencing the following publication [1]
[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
Jorge L. Reyes-Ortiz, Alessandro Ghio, Luca Oneto, Davide Anguita. November 2012.