Coursera course - getting and cleaning data. The final assignment
run_analysis.R - the main script that produces the tidy data set. For its input it expects to be run from within the UCI HAR dataset directory. Main functions:
- merges the test and train sets of calculated features
- adds column names to the merged set (column names = feature names)
- adds a subject id column to identify the test subject that performed the activity
- adds an activity column that identifies the activity
- subsets the merged set to only contain the columns that contain either the standard deviations or the mean values of the calculated features
- for each activity and individual, calculates the mean value for each of the columns present in the previous subsetted set. This new set is then output into tidyset.txt
quicklib.R - a library for most of run_analysis.R functionality
tidyset.txt - NOT PRESENT IN THE REPOSITORY the output of run_analysis.R, containing a tidy data set. For variable descriptions, see CodeBook.md
The data set information (excerpt from its README.txt):
Human Activity Recognition Using Smartphones Dataset Version 1.0
Jorge L. Reyes-Ortiz, Davide Anguita, Alessandro Ghio, Luca Oneto. Smartlab - Non Linear Complex Systems Laboratory DITEN - Università degli Studi di Genova. Via Opera Pia 11A, I-16145, Genoa, Italy. [email protected] www.smartlab.ws
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