plot_raw: Plot surplus production data

In cfree14/splink: Covariate-linked biomass dynamic models

Description

This function prepares a quick plot of the provided surplus production data. The dataframe must contain a column called "stockid" and a column called "year". There must also be a column containing biomass time series and a column containing surplus production time series. If a covariate is provided (optional), points will be colored based on the covariate.

Usage

plot_raw(data, b_col, sp_col, cov_col = NULL, n = NULL)

Arguments

data	Data
b_col	Name of column containing biomass time series
sp_col	Name of column containing surplus production time series
cov_col	Name of column containing covariate time series (optional)
n	Number of stocks to plot (defaults to 12 or fewer)

Value

A plot showing the biomass-production relationship for each stock

Examples

data <- splink::ram_ne
plot_raw(data, "tb_scaled", "sp_scaled")
plot_raw(data, "tb_scaled", "sp_scaled", "sst_c_scaled")
plot_raw(data, "tb_scaled", "sp_scaled", "sst_c_scaled", n=20)

cfree14/splink documentation built on Dec. 19, 2021, 2:57 p.m.