chaosreader/stat_6550_group_project: This Package Prepares Data and Provides Analysis Tools for Non-Linear Time Series

Our dataset was produced by an AI using digital particle image velocimetry or DPIV [Willert and Gharib, 1991] to count the level of bee activity outside a hive marked R 4 5. These csv files are part of the output of Dr. Sarbajit Mukherjee during his dissertation at Utah State University. We have received permission of Dr. Kulyukin to use these files for time series analysis. The counts correspond to a 28 second period recorded approximately every 15 minutes throughout the day. The monitors shutdown at night and went off line several times throughout the season leaving significant coverage gaps. In this package, we provide a script for cleaning and preparing the data for time-series analysis as well as some tools for providing analysis for the non-uniform series.

Getting started

Package details

AuthorJake S. Rhodes and Matthew Lister
MaintainerJake S. Rhodes <jake.rhodes@usu.edu>
LicenseGPL-3 + file LICENSE
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("chaosreader/stat_6550_group_project")
chaosreader/stat_6550_group_project documentation built on Dec. 19, 2021, 3:01 p.m.