plot_xy_corr: Plot of condition versus condition

In afsc-gap-products/akfishcondition: Groundfish morphometric condition indicator

Plot of condition versus condition

Description

Plot of condition versus condition

Usage

plot_xy_corr(
  x_1,
  x_2,
  region,
  series_name_1 = "Historical",
  var_y_name_1 = "mean_wt_resid",
  var_y_se_name_1 = "se_wt_resid",
  var_x_name_1 = "year",
  series_name_2 = "VAST",
  var_y_name_2 = "mean_wt_resid",
  var_y_se_name_2 = "se_wt_resid",
  var_x_name_2 = "year",
  format_for = "rmd"
)

Arguments

x_1	A data.frame for the first time series.
x_2	A data.frame for the second time series.
region	Region. AI, BS, or GOA. Character (1L).
var_y_name_1	Name of the y variable in the data.frame. Character (1L).
var_y_se_name_1	Name of the standard error for the y variable. Character (1L).
var_x_name_1	Name of the x (time variable). Character (1L).
var_y_name_2	Name of the y variable in the data.frame. Character (1L).
var_y_se_name_2	Name of the standard error for the y variable. Character (1L).
var_x_name_2	Name of the x (time variable). Character (1L).
format_for	"rmd" or "png"
fill_colors	Fill colors to use for points. Character (2L).
scale_y	Logical. Should y variables be Z-score transformed?
y_title	Y-axis title. Character (1L).

Value

A ggplot object of the time series

afsc-gap-products/akfishcondition documentation built on June 11, 2025, 5:37 p.m.