README.md

In dylan-stark/ucihar: Human Activity Recognition Using Smartphones Data Set

ucihar

This package contains data hosted at the UCI Machine Learning Repository (source: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones).

This package contains two tidy data sets:

1. ucihar -- mean and standard deviation measurements (10299 obs. of 68 variables)
2. ucihar_avgs -- summarized (mean) values for each measurement in ucihar by subject and activity (180 obs. of 68 variables)

See the Code Book for details full details -- all processing and merging of raw data is done in data-raw/run_analysis.R.

Installation:

devtools::install_github("dylan-stark/ucihar")

Citation:

Use citation("ucihar") to cite this package. Use the following article to cite the Human Activity Recognition Using Smartphones data set:

Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra and Jorge L. Reyes-Ortiz. A Public Domain Dataset for Human Activity Recognition Using Smartphones. 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013. Bruges, Belgium 24-26 April 2013.

dylan-stark/ucihar documentation built on May 15, 2019, 7:23 p.m.