opt_mbp: Idenitfy the Optimum MBP based on Convergence Threshold

In telemetR: Filter and Analyze Generalised Telemetry Data from Organisms

Idenitfy the Optimum MBP based on Convergence Threshold

Description

Takes dataframes created by 'renorm_SSR()' and 'conv_thresholds()' and determines the corresponding "optimum" maximum blanking period (MBP) for each convergence threshold.

Usage

opt_mbp(rSSR_df, thresh_values)

Arguments

rSSR_df	a dataframe created by created by renorm_SSRduration compare showing the renormalized sum of squares of the residuals between one potential blanking period and the next.
thresh_values	a dataframe created by conv_thresholds corresponding to the chosen convergence thresholds.

Value

A dataframe showing the convergence value and corresponding optimal maximum blanking period for each grouping.

Examples

# Determine the optimum mbp
opt_mbp(rSSR_df = ex_rSSR,
        thresh_values = conv_thresh)

telemetR documentation built on April 14, 2023, 12:37 a.m.