getdata-011 Course Project

Run:

Download UCI HAR Dataset to project directory
Open R console and set working directory to project directory
Load script with: source('run_analysis.R')
Run script with: run_analysis()
Script writes data from step 4 to data.txt and data form step 5 to summary.txt
Load output data with read.table, for example: data <- read.table("data.txt")

run_analysis.R checks if UCI HAR Dataset directory exists. If yes, it loads files from it, otherwise tries to load files from current directory.
Loads features.txt to use it as column names for X_train.txt and X_test.txt.
After loading X_train.txt and X_test.txt columns which names contains .mean. or .std. are extracted.
y_train.txt and y_test.txt are matched with labels from activity_labels.txt and loaded to activity column.
subject_train.txt and subject_test.txt are loaded to subject column.
File data.txt with current dataset is saved.
File summary.txt with mean value for each variable for each activity and subject is saved.