Introduction

This repository is a submission for the course project of "Getting and Cleaning Data" offered via Coursera.org by JHU.

This dataset provides the per-activity, per-subject mean values for each mean() and std() measurement provided in the the below source dataset. This data set is provided in a "wide" tidy format. Please see CodeBook.md for details on the content and format.

Source data set

The original dataset is processed movement data from the accelerometers of the Samsung Galaxy S smartphone. Further information on the original project and data set is available here.

Files

Four files are provided with this data set:

• README.md - this file.
• CodeBook.md - the code book which explains the format and contents of the data set contained in dataset.txt.
• dataset.txt - a text file format copy of the data set.
• run_analysis.R - an R script which will re-generate the data set contained in dataset.txt when provided with the original data set.

Reading the data set

The data set can be read from the test file with the following R command:

dataset <- read.table("dataset.txt",
						header=TRUE,
						sep=" ",
						check.names = FALSE)

Re-Generating the Data Set

First a copy of the source data set must be made available in the R working directory under the sub-folder "UCI HAR Dataset".

Original data set provided for this course

Second, source the provided .R file:

source("run_analysis.R")

The dataset can now be generated in a text file by running the following command:

 run_analysis()

To acquire a copy of the data set in a data.frame, run:

 meansData <- run_analysis( writeDataset = FALSE )

##License and Acknowledgements: This original data set was created via the below research:

• 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