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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.