detect_peak_modz

df_comparison

width of interval to compute rolling median and MAD, defaults to 5

modified z-score cutoff to classify observations as outliers, defaults to 3.5

max_score

Alternative implementation of the robust peak detection algorithm by van Brakel 2014 
Classifies data points with modified z-scores greater than max_score as outliers ccording to Iglewicz and Hoaglin 1993

Utilities for spatial-temporal analysis and visualization of animal (e.g. cattle) tracking data. The core feature is a 'shiny' web application for customized processing of GPS logs, including features for data augmentation (e.g. elevation lookup), data selection, export, plotting, and statistical summaries. A data validation application allows for side-by-side comparison via time series plots and extreme value detection described by J.P. van Brakel <https://stackoverflow.com/questions/22583391/peak-signal-detection-in-realtime-timeseries-data/>.

Joe Champion

animaltracker

Animal Tracker

Thea Sukianto

detect_peak_modz function

Alternative implementation of the robust peak detection algorithm by van Brakel 2014 
Classifies data points with modified z-scores greater than max_score as outliers ccording to Iglewicz and Hoaglin 1993 — detect_peak_modz

Alternative implementation of the robust peak detection algorithm by van Brakel 2014 
Classifies data points with modified z-scores greater than max_score as outliers ccording to Iglewicz and Hoaglin 1993

detect_peak_modz: Alternative implementation of the robust peak detection algorithm by van Brakel 2014 Classifies data points with modified z-scores greater than max_score as outliers ccording to Iglewicz and Hoaglin 1993

Description

Usage

Arguments

Value