GPEMR (version 0.1.0)

comparison_plot: Comparison Plot for p-values Across Growth Models

Description

This function generates a comparison plot of p-values obtained from different growth models (Logistic, Von-Bertalanffy, and Gompertz) using real data. It visualizes how p-values vary across time points for the specified models and provides a horizontal reference line for significance.

Usage

comparison_plot(
  data_path,
  window_size = 3,
  parameter,
  p_val_method,
  repetition
)

Value

A plot comparing p-values across the Logistic, Von-Bertalanffy, and Gompertz models over time points. The plot includes lines for each model's p-values, a legend, and a reference line of tolerance = 0.05.

Arguments

data_path

A character string specifying the path to the data file. The file should contain the necessary data for p-value calculations.

window_size

An integer specifying the size of the moving window for calculations. Default is 3.

parameter

A list of parameters used in p-value calculation.

p_val_method

A character string specifying the method for p-value calculation. The options are Parametric and Non - Parametric methods.

repetition

An integer specifying the number of repetitions for calculations.

Examples

# \donttest{
data_path <- system.file("extdata", "sample_data.csv", package = "GPEMR")
params <- list(log_r = 0.7,von_r = 0.3,c=0.2,b=0.1)
comparison_plot(data_path = data_path, window_size = 5, parameter = params,
                p_val_method = "Parametric", repetition = 2)# }