daweizhangau / datasciencecoursera-03

Getting and Cleaning Data Course Project

About

The script run_analysis.R generates a tidy data set according to the requirements of Getting and Cleaning Data Course Project.

Dependencies

The script depends on R pacage 'dplyr', which will be installed automatically when it does not exist on your environment.

Input

You need to manually download the source file, unzip it to your work directory. The input data directory structure is like

• $R_WORK_DIR/UCI HAR Dataset/
• $R_WORK_DIR/UCI HAR Dataset/test
• $R_WORK_DIR/UCI HAR Dataset/train

Only the following files under input data directory will be taken into account. All others will be ingored.

• test/subject_test.txt
• test/X_test.txt
• test/y_test.txt
• train/subject_train.txt
• train/X_train.txt
• train/y_train.txt
• features.txt
• activity_labels.txt

Output

The output is a data set file called "average_by_activity_subject.txt" under your work directory. The file can be read into a dataframe with the following code.

read.table("average_by_activity_subject.txt", header = TRUE)

Please read the Code Book for more information about the output.