alfredhung/datasciencecoursera

This is the Repo for Coursera's Data Science course

This project collects, works with, and cleans the data set related to the Human Activity Recognition Using Smartphones. The description can be found here: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

• To get the data for the project, set the working directory you want to use then download.file() for: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip

• Unzip the file. You will need to point the directory to the UCI HAR Dataset folder to read the features and activity_labels files. It's recommended to read the README file beforehand

• To read the files for test results, point the directory to the "test" folder, then to read the files for train results, point the directory to the "train" folder.

• Run the R script "run_analysis.R"

• It'll do the following:

  • Merges the training and the test sets to create one data set.
  • Extracts only the measurements on the mean and standard deviation for each measurement.
  • Uses descriptive activity names to name the activities in the data set
  • Appropriately labels the data set with descriptive variable names.
  • From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject.

• It may also be necessary to load the package reshape2