Getting and Cleaning Data Project

The data linked to from the course website represent 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

Files

• README.md -- this file
• CodeBook.md -- codebook describing variables, the data and transformations
• run_analysis.R -- actual R code

Environment

It should run in a folder of the Samsung data (the zip had this folder: UCI HAR Dataset) The script assumes it has in it's working directory the following files and folders:

• activity_labels.txt
• features.txt
• test/
• train/

Script run_analysis.R

• For each data set:

  • read data set
  • attach activity labels
  • attach subject

• Merge all data sets.

• Rename variables of the data set.

• Keep only activity, subject, "mean", "std" variables in data set.

• Create a new data frame by finding the mean for each combination of subject and label.

• Write data to "tidy.txt" file in the working directory