A course project for Getting and Cleaning Data course.

The script run_analysis.R reads the Samsung Galaxy S sensors data, merges test and training datasets, normalizes them by extracting only mean- and standard deviation-related measurements. Then adds information about activities and subject and then calculates means of the measurements for the cleaned data groupped by Activity and Subject.

How-to

• Download the Samsung sensors data
• Unzip the downloaded archive in your directory.
• Change R's working directory to "/UCI HAR Dataset": setwd("<directory>/UCI HAR Dataset").
• Execute the script: source("<path-to-script>/run_analysis.R").
• The cleaned data will be available in the cleanNormalized variable.
• You can also dump the data into a text file with a following command: write.table(cleanNormalized, file="normalized.txt", row.names = FALSE)

See also

Code book is in CodeBook.md.