Skip to contents

fn_fyield {Morefi}

20 May 2024

fn_fyield.Rmd

Fillet yield

Description

The function calculates the fillet yield by dividing a defined weight reference point bm by the mean, lower, and upper confidence interval of 95% (IC95%) of the estimated fillet weight, respectively. These values are obtained from the list items l_intervals$CI returned by the function Morefi::fn_intervals().

If the analyzed regression has fillet weight as an independent variable, then values are calculated. An “if statement” is written for this propose.

Fillet yield was calculated for a sequence of the independent variable (including minimum and maximum values).

Inside the function, the mean (Ymean), lower (Ymin), and upper (Ymax) CI95% are stored in a table (Table_Y).

The function requires defining:

  • i: An integer value that indicates which regression analysis to use.
  • bm: An integer value used as a benchmark.
  • df: A data frame with landed weights for each category.

Seealso: fn_intervals(): customized for the present package mutate(): from the package dplyr (version 1.0.10)

fn_fyield

The function is included in the Morefi package Morphological Relationships Fitted by Robust Regression.

The function is detailed below.

fn_fyield <- function(i,bm,df){
                  Table_Y <- df
                  Table_Y <- dplyr::mutate(Table_Y,
                                           Yfit=   bm/Table_Y[,2],
                                           YIC_L=  bm/Table_Y[,3],
                                           YIC_U=  bm/Table_Y[,4],
                                           YIP_L=  bm/Table_Y[,5],
                                           YIP_U=  bm/Table_Y[,6]
                                           )
                  return(Table_Y)
            }   # End fn

Examples

Do not execute, it’s just a syntax example. 

FY <- fn_fyield(i,bm,df)