Title	Author
Getting and Cleaning Data	Adrian Cortinas

Description

This repository is for John Hopkins' Getting and Cleaning Data Course project assignment files.

For this assignment we have to create an R script that performs the following:

1. Merge two or more data sets to create one data set.
2. Extract only the measurements on the mean and standard deviation for each measurement.
3. Use descriptive activity names to name the activities in the data set
4. Appropriately label the data set with descriptive variable names.
5. From the data set in step 4, create a second, independent tidy data set with the average of each variable for each activity and each subject.

Requirements

The script needs dplyr and tidyr libraries installed in order for it to work. You can install them by executing this command:

install.packages("tidyr","dplyr")

You may need to restart R or R Studio after this is done.

Contents

File Name	Description
README.md	This file.
CodeBook.md	Description of all elements used in the R script.
run_analysis.R	R Script to run and perform the data analysis.

Downloaded Contents (during execution of the program)

File Name	Description
projectiles FUCI HAR Dataset.zip	Data Sets

Generated Files

File Name	Description
RawData.csv	All individual files merged into one single data set.
TidyData.csv	CSV File with the average of each dimension (variable) for each activity and each subject.
TidyData.txt	Text File with the average of each dimension (variable) for each activity and each subject.

Execution

run_analysis.R contains all the instructions to download, merge and produce aforementioned files. All you need to do is execute (source) run_analysis.R and it will create the two files, RawData.csv and TidyData.csv.

source("path_to_file/run_analysis.R")