mbac / courseraweek4

Assignment for Week 4

courseraweek4

Assignment for Week 4

This repo contains two files. The main script, run_analysis.R is the actual script to run to get and clean data as per assignment requests. It sources file week4lib.R, which needs to be in the working directory and defines the main function which loads and prepares data in a programmatic fashion, according to user input.

How to use

• Import data files:
  • activity_labels.txt
  • features.txt
  • subject_*.txt
  • X_*.txt
  • y_*.txt
  • Note that these are the original file names and the scripts expect them.
• Place files into a data directory of your choice within the scripts working directory (indicated by get_wd())
• Specify directory name by assigning it to the DATA_DIRECTORY variable in run_analysis.R. Default is data.
• Specify the file name suffix for the different data files. Default is train and test as found in the present data set. Could theoretically accomodate for further data sets from the same study.
• Start the procedure by running/sourcing run_analysis.R
• The results are data frame/data tables with different characteristics, as requested from the assignment: data, meansd_data and avg_data. Please see CodeBook.md for more information.