canada_create_age_proportions_csv: Create an age proportion CSV data from the sample data
In pacific-hake/hake-assessment: Stock Assessment for Pacific Hake

View source: R/utils-canada-create-age-proportions-csv.R

canada_create_age_proportions_csv

R Documentation

Create an age proportion CSV data from the sample data

Description

Create an age proportion CSV data from the sample data

Usage

canada_create_age_proportions_csv(
  d,
  type = c("ft", "ss", "jv"),
  min_date = as.Date("1972-01-01"),
  raw_counts = FALSE,
  plus_grp = 15,
  lw_tol = 0.1,
  lw_maxiter = 1000,
  weight_scale = 1000,
  by_month = FALSE,
  digits = 5
)

Arguments

`d`	A data frame as returned by `gfdata::get_commercial_samples()`
`type`	The fleet type to create the file for. This is needed so the function knows what the filename should be for each fleet
`min_date`	Earliest date to include
`raw_counts`	Logical. If `TRUE`, return raw, unweighted age proportions. If `FALSE`, return the age proportions weighted by sample and catch weights
`plus_grp`	Age plus group for maximum grouping
`lw_tol`	See `fit_lw()`
`lw_maxiter`	See `fit_lw()`
`weight_scale`	A value to divide the weights by
`by_month`	Logical. If `TRUE`, return a data frame with a `month` column in addition to a `year` column
`digits`	The number of decimal places to round the values to

Details

A CSV file will be written, and the data frame will also be returned invisibly. The data frame will contain the year, number of fish by year in the data, and the number of samples (hauls/trips) in the data. Shoreside uses trips as a sampling unit and the other two use hauls.