calc_lw_params: Calculate the length-weight relationship parameters for the...
In pbs-assess/hakedata: Data Extraction for Pacific Hake Assessment

Calculate the length-weight relationship parameters for the data with both length and weight, given a grouping variable

calc_lw_params(
  d,
  grouping_cols = "year",
  lw_cutoff = 10,
  lw_tol = 0.1,
  lw_maxiter = 1000
)

`d`	The data frame as extracted using `fetch_sample_data()`
`grouping_cols`	A vector of character strings matching the names of the columns you want to group for
`lw_cutoff`	How many length-weight records are required per sample to use the length-weight model for that sample. If less than this, the overall yearly values will be used
`lw_tol`	See `fit_lw()`
`lw_maxiter`	See `fit_lw()`

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

pbs-assess/hakedata documentation built on Jan. 16, 2021, 9:15 p.m.