title	author	date	output
README.md	Mark Smith	30 March 2018	html_document

Coursera Getting and Cleaning Data - Final Assignment

The script provided has two purposes:

• To produce a tidy data set (internally);
• Take selected values (means and standard deviations) from the tidy set and take the average of them; and
• Write the result to results.txt (tab separated).

This was developed on R 3.4.3 on Windows x64.

Requirements

• Have the downloaded data set from https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip (or the original source) extracted in the same directory as run_analysis.R.
• Have dplyr and data.table libraries installed in R.
• Sufficient permissions to write results.txt to the working directory.

How to run

source("run_analysis.R")
run_analysis()

To read the results:

library(dplyr)
library(data.table)
data <- tbl_df(fread("results.txt"))
summary(data)

Files

• README.md This file
• CodeBook.md The codebook describing the variables and the conversion process to generate the results.
• run_analysis.R The main program.
• results.txt Generated by the main program's final step.