The class project for Getting and Cleaning Data is to read in the ["Human Activity Recognition Using Smartphones" dataset] (http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones), perform an analysis on the data set, reformat the data and output a tidy data set.
Here are the steps which must be performed before running the R script:
- Download the zip file from [this URL] (https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip).
- Unzip the file.
- Move ALL of the following files to the SAME DIRECTORY as the R script:
*
features.txt*subject_train.txt*subject_test.txt*X_train.txt*X_test.txt*y_train.txt*y_test.txt
**Once those steps are complete, you can run the R script (run_analysis.R). ** Note that it requires the [reshape2 package] (http://cran.r-project.org/web/packages/reshape2/index.html), which can be downloaded from CRAN.
The output of the R script is a tidy data set, (tidy.csv).
You can read more about the data and the analysis in the code book.