calc_lw_params: Calculate length-weight relationship parameters

In pacific-hake/hake-assessment: Stock Assessment for Pacific Hake

Calculate length-weight relationship parameters

Description

Calculate length-weight relationship parameters for the data with both length and weight data, given one or more grouping variables.

Usage

calc_lw_params(d, grouping_cols = "year", lw_tol = 0.1, lw_maxiter = 1000)

Arguments

d	A data frame as returned by gfdata::get_commercial_samples()
grouping_cols	A vector of character strings matching the names of the columns you want to group for. i.e. "year" or c("year", "month")
lw_tol	See fit_lw()
lw_maxiter	See fit_lw()

Details

If the column lw_alpha already exists in the input data frame d, the calculated parameters lw_alpha and lw_beta will be coalesced with the input ones. This means they will be combined together similar to a union or left join. The input parameter values will take precedence and the NA values found in that column will be replaced with the parameter estimates calculated here with fit_lw().

Value

The original data frame with the columns lw_alpha and lw_beta added (if necessary). If those columns exist, they will be overwritten with NAs and values calculated where data exist

pacific-hake/hake-assessment documentation built on July 21, 2024, 8:19 a.m.