outliers_anomaly: Anomaly method for detecting outliers from an incremental...

In fmmattioni/whippr: Tools for Manipulating Gas Exchange Data

Anomaly method for detecting outliers from an incremental test

Description

Function for internal use only. It will not be exported.

Usage

outliers_anomaly(.data, time_column, vo2_column, cleaning_level)

Arguments

.data	The data retrieved from incremental_normalize().
time_column	The name (quoted) of the column containing the time. Depending on the language of your system, this column might not be "t". Therefore, you may specify it here.
vo2_column	The name (quoted) of the column containing the absolute oxygen uptake (VO2) data.
cleaning_level	A numeric scalar between 0 and 1 giving the confidence level for the intervals to be calculated.

Value

a tibble

fmmattioni/whippr documentation built on Feb. 23, 2024, 11:20 a.m.