Filter and Analyze Generalised Telemetry Data from Organisms

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Documentation for package ‘telemetR’ version 1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

add_org	Add Organism Data to a Detection Dataframe
blanked_detects	Example Multi-blanked Detection Data
blanking_event	Create Potential Blanking Periods for Identifying Optimal Blanking Period
build_residence	Build Continuous Residence Events
conv_thresh	Example 95 Percent Convergence Threshold
conv_thresholds	Calculate Convergence Thresholds for the rSSR curve
dat_filt1	Prefiltered detection data
dat_orgfilt	Filtered detection data with Organism Data
duration_compare	Compare the duration of Potential Blanking Periods
ex_opt	Example Optimum Maximum Blanking Period
ex_rSSR	Example Renormalized Sum of Squares
filtered_detections	Example Completely Filtered Detection Data
filter_2h	Basic Two Hit Filter for Detections
filter_4h	Basic Four Hit Filter for Detections
fish	Fish Data
format_detects	Format Detections for filteRjsats
format_org	Format Organism Data for add_org()
format_receivers	Format for Receiver data for filteRjsats
opt_mbp	Idenitfy the Optimum MBP based on Convergence Threshold
prefilter	Apply the "prefilter" to a Detection Dataframe
raw_detections	Unfiltered detection data
receivers	Receiver Data
reftags	Example reference tags
renorm_SSR	Calculate the Renormalized Sum of Squared Residuals
residence_plot	Residency Survival Plot
rSSR_plot	Plot the rSSR Curve and Convergence Thresholds and Optimum MBP
setup_blanking	Setup a Detection Dataframe for Identifying the Optimal Blanking Period
Set_GVs	Add in Global Variables
time_test	Example Time Tests for Multi-blanked Detection Data