validate_price_weight: Outlier identification based on Cook's distance

In WorldFishCenter/peskas.timor.data.pipeline: Functions to Implement the Timor Small Scale Fisheries Data Pipeline

Outlier identification based on Cook's distance

Description

This function adds an additional alert to both price and catch alert dataframes when the relation between the price and weight assume abnormal values relatively to each species. The relationship between weight and price is mostly linear, this function identifies the survey IDs where the Cook's distance is higher than cook_dist * mean_cook, where cook_dist is a multiplicative coefficient and cook_dist is the average Cook's distance relatively to each species.

Usage

validate_price_weight(
  catch_alerts = NULL,
  price_alerts = NULL,
  non_regular_ids = NULL,
  cook_dist = NULL,
  price_weight_min = NULL,
  price_weight_max = NULL
)

Arguments

catch_alerts	The dataframe of catch alerts.
price_alerts	The dataframe of price alerts.
non_regular_ids	The dataframe of landings regularity alerts.
cook_dist	A number that go in the formula cook_dist * (mean(cooksd)).
price_weight_min	Min price per weight value threshold.
price_weight_max	Max price per weight value threshold.

Details

Currently, cook_dist is set to 21 as default value.

Value

The price and catch alert' dataframes including outlier identification based on Cook's distance.

WorldFishCenter/peskas.timor.data.pipeline documentation built on April 14, 2025, 1:47 p.m.