Getting-And-Cleaning-Data

Repository for Course Project for Getting and Cleaning Data on Coursera

Use of the code in this repository

Follow the following steps to run the code:

1. Download the data from this URL and extract it in directory strPathData.
2. Start R or R studio.
3. Set the directory where run_analysis.R is located as working directory with setwd(directory of R file)
4. Type source('run_analysis.R') in R or R studio.
5. Execute run_analysis with the first parameter set to the directory strPathData of step 1, by executing run_analysis(strPathData).
6. Hurra, a tidy data text file that (hopefully) meets the principles of Hadley Wickham's paper "Tidy data" is now in your data directory strPathData.

Test the output

The tidy data file can be read back into R with the command read.table(tidy file,header=TRUE).

Optional parameters

run_analysis has 4 optional parameters which you can set.

They refer to the following values:

parameter name	reference
strPathData	path to the data directory
strPathTest	path to the test folder with regard to strPathData
strPathTrain	path to the test folder with regard to strPathData
strNameFileOutStep5	name of the output file

More information

For more information of the variables and the method of generating them, read CodeBook.md.