plot.modeler: Plot an object of class 'modeler'

In flexFitR: Flexible Non-Linear Least Square Model Fitting

Plot an object of class modeler

Description

Creates several plots for an object of class modeler.

Usage

## S3 method for class 'modeler'
plot(
  x,
  id = NULL,
  type = 1,
  label_size = 4,
  base_size = 14,
  linewidth = 0.5,
  color = "red",
  color_points = "black",
  parm = NULL,
  n_points = 1000,
  title = NULL,
  add_points = FALSE,
  add_ci = TRUE,
  color_ci = "blue",
  color_pi = "red",
  add_ribbon_ci = FALSE,
  add_ribbon_pi = FALSE,
  color_ribbon_ci = "blue",
  color_ribbon_pi = "red",
  ...
)

Arguments

x	An object of class modeler, typically the result of calling modeler().
id	An optional group ID to filter the data for plotting, useful for avoiding overcrowded plots.
type	Numeric value (1-6) to specify the type of plot to generate. Default is 1. type = 1 Plot of raw data with fitted curves. type = 2 Plot of coefficients with confidence intervals. type = 3 Plot of fitted curves, colored by group. type = 4 Plot of fitted curves with confidence intervals. type = 5 Plot of first derivative with confidence intervals. type = 6 Plot of second derivative with confidence intervals.
label_size	Numeric value for the size of labels. Default is 4.
base_size	Numeric value for the base font size in pts. Default is 14.
linewidth	Numeric value specifying size of line geoms. Default is 0.5.
color	Character string specifying the color for the fitted line when type = 1. Default is "red".
color_points	Character string specifying the color for the raw data points when type = 1. Default is "black".
parm	Character vector specifying the parameters to plot for type = 2. If NULL, all parameters are included.
n_points	Numeric value specifying the number of points for interpolation along the x-axis. Default is 2000.
title	Optional character string to add a title to the plot.
add_points	Logical value indicating whether to add raw observations to the plot for type = 3 and 4. Default is FALSE.
add_ci	Logical value indicating whether to add confidence intervals for type = 4, 5, 6. Default is TRUE.
color_ci	Character string specifying the color of the confidence interval when type = 4, 5, 6. Default is "blue".
color_pi	Character string specifying the color of the prediction interval when type = 4. Default is "red".
add_ribbon_ci	Logical value indicating whether to add a ribbon for confidence intervals in type = 4, 5, 6. Default is FALSE.
add_ribbon_pi	Logical value indicating whether to add a ribbon for prediction intervals in type = 4. Default is FALSE.
color_ribbon_ci	Character string specifying the color of the ribbon (ci). Default is "blue".
color_ribbon_pi	Character string specifying the color of the ribbon (pi). Default is "red".
...	Additional graphical parameters for future extensions.

Value

A ggplot object representing the specified plot.

Author(s)

Johan Aparicio [aut]

Examples

library(flexFitR)
data(dt_potato)
# Example 1
mod_1 <- dt_potato |>
  modeler(
    x = DAP,
    y = Canopy,
    grp = Plot,
    fn = "fn_lin_plat",
    parameters = c(t1 = 45, t2 = 80, k = 0.9),
    subset = c(1:3)
  )
print(mod_1)
plot(mod_1, id = 1:2)
plot(mod_1, id = 1:3, type = 2, label_size = 10)

flexFitR documentation built on April 16, 2025, 5:09 p.m.