Age Composition Data Plotter t(t() This function generates a series of plots visualizing the age composition data from fisheries assessment. It compares observed and predicted data across different years.

Usage

plot_agefit(
  x,
  case_label = "2021 assessment",
  gear = "bts",
  type = "survey",
  styr = NULL,
  ageplus = NULL
)

Arguments

case_label: Label for the specific case or dataset being visualized. Default is "2011 assessment".
dat: A data frame, default is mod1. The structure must contain age composition data, and the names used to create the temporary variables tmp1, tmp2, and tmp3.
main: Title of the main plot. Default is an empty string.
f: An integer representing the fishery index. Default is 1.
rec_age: An integer denoting the recruitment age. Default is 2.

Value

A multi-panel plot where each panel visualizes age composition data for a specific year.

Details

The function plots observed fishery age composition data using a bar plot, overlaying predicted data with points. It organizes the plots in a multi-panel figure, with each panel representing a year. Age classes are represented on the x-axis.

Note

The function uses the rainbow color palette, and the colors loop around for each cohort. The function expects certain naming conventions in the input dataset dat.

Examples

# Example usage (ensure you have an appropriate dataset 'mod1'):
# AgeFits(dat=mod1, main="Fishery Age Composition", case_label="Sample Assessment")