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fn_fyield

fn_fyield.Rd

The function calculates the fillet yield by dividing the 250 g benchmark (bm) by the mean, lower, and upper confidence interval of 95 fillet weight, respectively. These values are obtained from the list items l_intervals$CI returned by the fn_intervals function

Usage

fn_fyield(i, bm, df)

Arguments

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.

Value

Table_Y a table with fillet yield results

Details

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)

See also

: fn_intervals(): customized for the present work

: mutate(): from the package dplyr (version 1.0.10)

Examples

   if (FALSE) {
     FY <- fn_fyield(i,bm,df)
    }