Getting and Cleaning Data
This is a repository for any and all code written for the Getting and Cleaning Data Coursera course through Johns Hopkins University.
Course Project
(find all project-related materials in the UCI HAR Dataset directory, however, copies of the important files have been put into this main directory to fulfill the submission requirement)
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Unzip the source (https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip) into a folder on your local drive, say C:\Users\yourname\Documents\R\
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Put run_analysis.R into C:\Users\yourname\Documents\R\UCI HAR Dataset\
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In RStudio: setwd("C:\\Users\\yourname\\Documents\\R\\UCI HAR Dataset\\"), followed by: source("run_analysis.R")
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Use data <- read.table("data_set_with_the_averages.txt") to read the data. It is 180x68 because there are 30 subjects and 6 activities, thus "for each activity and each subject" means 30 * 6 = 180 rows. Note that the provided R script has no assumptions on numbers of records, only on locations of files.