In andrewstiegler/telemetRy: Functions for Importing and Manipulating DSI Telemetry Data

knitr::opts_chunk$set(echo = TRUE)
library(telemetRy)

Description

This is a package for interacting with telemetry data using R. Functions for analyzing telemetry data over various timescales are provided. These tools were developed primarily for working with telemetry datasets generated by Data Sciences International (DSI) hardware and exported from Ponemah software.

Note: the author of this package has no affiliation with DSI.

Installation

telemetRy is available on github. To install telemetRy, you'll need:
R > 3.2
devtools package from Hadley Wickham

First, install devtools:

install.packages('devtools')

Then install and load telemetRy:

devtools::install_github(repo = 'andrewstiegler/telemetRy')
library(telemetRy)

Usage

This package comes with a sample dataset generated using a DSI telemetry system.

head(sample_BP_data)

From this dataset, to calculate telemetry data for a typical day:

sample_typical_day <- typical_day(data = sample_BP_data, lights_on = 6)

Or to calculate the average data when room lights are off or on:

# Output of circadian_avg is a list, select first list element for lights off
sample_lights_off <- circadian_avg(data = sample_BP_data, lights_on = 6)[[1]]
# Select second element for lights on
sample_lights_on <- circadian_avg(data = sample_BP_data, lights_on = 6)[[2]]

To see an example of using this package with your own DSI data, check out the vignette Importing DSI data

andrewstiegler/telemetRy documentation built on May 1, 2021, 4:56 p.m.