R: Filter and Analyze Generalised Telemetry Data from Organisms

# Filter and Analyze Generalised Telemetry Data from Organisms

## 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