This repository contains the course project for the course Getting and Cleaning Data.
The purpose of this project is to demonstrate my ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.
The file run_analysis.R
contains the R-code needed to produce two
tidy datasets. The first one (step4.txt
) contains the means and
standard deviations for the different measures from Human Activity
Recognition Using Smartphones Dataset. The second dataset
(step5.txt
) contains the averages (over subject and activity type)
of all the features in the first dataset.
The script assumes that the Samsung data is in the working directory.
If you have GNU Make installed just run:
make
Otherwise download and unzip UCI HAR Dataset
and run:
Rscript run_analysis.R
or (in interactive session):
source('run_analysis.R')
See CodeBook.md
.