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

In flexFitR: Flexible Non-Linear Least Square Model Fitting

Plot an object of class performance

Description

Creates plots for an object of class performance

Usage

## S3 method for class 'performance'
plot(
  x,
  id = NULL,
  type = 1,
  rescale = FALSE,
  linewidth = 1,
  base_size = 12,
  return_table = FALSE,
  ...
)

Arguments

x	An object of class performance, typically the result of calling performance().
id	An optional group ID to filter the data for plotting, useful for avoiding overcrowded plots. This argument is not used when type = 2.
type	Numeric value (1-3) to specify the type of plot to generate. Default is 1. type = 1 Radar plot by uid type = 2 Radar plot averaging type = 3 Line plot by model-metric type = 4 Ranking plot by model
rescale	Logical. If TRUE, metrics in type 3 plot are (0, 1) rescaled to improve interpretation. Higher values are better models. FALSE by default.
linewidth	Numeric value specifying size of line geoms.
base_size	Numeric value for the base font size in pts. Default is 12
return_table	Logical. If TRUE, table to generate the plot is returned. FALSE by default.
...	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)
# Model 1
mod_1 <- dt_potato |>
  modeler(
    x = DAP,
    y = Canopy,
    grp = Plot,
    fn = "fn_lin_plat",
    parameters = c(t1 = 45, t2 = 80, k = 90),
    subset = 40
  )
# Model 2
mod_2 <- dt_potato |>
  modeler(
    x = DAP,
    y = Canopy,
    grp = Plot,
    fn = "fn_logistic",
    parameters = c(a = 0.199, t0 = 47.7, k = 100),
    subset = 40
  )
# Model 3
mod_3 <- dt_potato |>
  modeler(
    x = DAP,
    y = Canopy,
    grp = Plot,
    fn = "fn_lin",
    parameters = c(m = 20, b = 2),
    subset = 40
  )
plot(performance(mod_1, mod_2, mod_3), type = 1)
plot(performance(mod_1, mod_2, mod_3, metrics = c("AICc", "BIC")), type = 3)

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