Files related with Getting and Cleaning Data Course Project:
- run_analysis.R: R script for analysing data from UCI HAR Dataset
- tidydata.txt: summarised dataset obtained as output
- code_book.txt: description of variables in tidydata.txt
The script is structured in several steps:
Step 1: reading and merging
- reads all the test and train datasets about measurements, subjects and activities
- joins each train and test dataset in complete datasets
- deletes test and train dataset
Step 2: extracting mean and std measurements
- reads features dataset to name variables in measurements dataset
- extracts measurements on mean and standard deviation
Step 3/4: labeling and merging
- reads labels for activities
- names subjects and activities datasets
- changes id activities to label activities
- joins measurements, subjects and activities datasets
Step 5: summarizing measurements
- builds a melt dataset usind id variables subject and activity
- summarizes the average measurements for each subject and activity
- writes file with tidy data