| title | Project work for Coursera Getting and Cleaning Data course |
|---|---|
| date | 2014-08-23 |
| output | html_document |
There are four files in this repository:
- README.md (this file)
- run_analysis.R (This is used to process the data and produce the tidy data set)
- CodeBook.md (It contains details about the process to clean up the data. It also contains descriptions of all the variables and data)
- tidydata.txt (This is the file asked for by the assignment. It contains the result produced by the run_analysis.R script. Please use read.table("tidydata.txt", header = TRUE) to read back the data for viewing.)
In order to run the R script file, the working directly must contain the following files and folders downloaded and unzipped from the link on course website (https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip):
- features.txt
- activity_labels.txt
- train/subject_train.txt
- train/X_train.txt
- train/y_train.txt
- test/subject_test.txt
- test/X_test.txt
- test/y_test.txt
Dataset Reference: 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