=============================================================== Peer Assessment Project for Coursera Course: Getting and Cleaning Data
Marius Florin RADU
Cluj-Napoca, Cluj, ROMANIA
mail: radu_marius_florin@yahoo.com
README.mdCodeBook.mdrun_analysis.Rtidy.txt
- Prepare the working directory
- Download and extract the data on the local machine
- Extracts only the measurements on the mean and standard deviation for each measurement.
- Merges the training and the test sets to create one data set.
- Uses descriptive activity names to name the activities in the data set
- Appropriately labels the data set with descriptive activity names.
- Creates a second, independent tidy data set with the average of each variable for each activity and each subject.
The run_analysis.R script can be used as follows:
<path>/Rscript run_analysis.R
# or
<path>/R CMD run_analysis.R
- it is a tab delimited text file
- it contains the tidy data obtained by processing data from https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip, using the script run_analysis.R
The data dataset used for script development is part of the following publication work [1]
[1] Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra and Jorge L. Reyes-Ortiz. Human Activity Recognition on Smartphones using a Multiclass Hardware-Friendly Support Vector Machine. International Workshop of Ambient Assisted Living (IWAAL 2012). Vitoria-Gasteiz, Spain. Dec 2012
This dataset is distributed AS-IS and no responsibility implied or explicit can be addressed to the authors or their institutions for its use or misuse. Any commercial use is prohibited.
For more information about *tidy.txt dataset contact: radu_marius_florin@yahoo.com.
Last date of download of the raw data directory is Fri May 16 18:05:49 2014