Getting-and-Cleaning-Data-Course-Project

R analysis on data collected from the accelerometers from the Samsung Galaxy S smartphone. A full description is available at the site where the data was obtained: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

How to run the script

• Download the data set available here: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip

• Unzip the dataset into a folder and set it as the working directory (use setwd)

• Run the script run_analysis.R on the working directory. You don't need to specify any parameter. The script will generate the output file named solution.txt.

Output

The output has been calculated using the following procedure:

• Merges the training and the test sets to create one data set.
  • Read the features and activity data sets
  • Read all the files that contains the test data and bind all the datasets into one
  • Read all the files that contains the train data and bind all the datasets into one
  • Merge the train and test datasets using the activityId
• Extracts only the measurements on the mean and standard deviation for each measurement.
• Based on the previous step results, create an independent tidy data set with the average of each variable for each activity and each subject.
• The output file solution.txt is generated.