This function processes length data to identify outliers in total length
using the LocScaleB method with the MAD method for outlier detection.
The k parameter is used to determine the extension of bounds. The function
selects and transforms data, groups it by gear type and species,
and applies the outlier detection using the specified k_max_length threshold.
Usage
validate_length(data = NULL, k_max_length = NULL)
Arguments
- data
A data frame containing length information, including columns _id,
gear_type, and length.
- k_max_length
Nonnegative constant used in the MAD method for determining
bounds in outlier detection for total length.
Common values are 2, 2.5, and 3.
Value
A data frame with the original length data, additional columns for
detected outliers, and nested length data.
Examples
if (FALSE) { # \dontrun{
# Assuming you have a data frame `length_data` with the necessary structure:
validated_length <- validate_length(data = length_data, k_max_length = 200)
} # }