View source: R/utils_S3_plots.R
| plot_fn | R Documentation | 
This function plots a function over a specified interval and annotates the plot with the calculated Area Under the Curve (AUC) and parameter values. The aim of 'plot_fn' is to allow users to play with different starting values in their functions before fitting any models.
plot_fn(
  fn = "fn_lin_plat",
  params = c(t1 = 34.9, t2 = 61.8, k = 100),
  interval = c(0, 100),
  n_points = 1000,
  auc = FALSE,
  x_auc_label = NULL,
  y_auc_label = NULL,
  auc_label_size = 4,
  param_label_size = 4,
  base_size = 12,
  color = "red",
  label_color = "grey30"
)
fn | 
 A character string representing the name of the function to be plotted. Default is "fn_lin_plat".  | 
params | 
 A named numeric vector of parameters to be passed to the function. Default is   | 
interval | 
 A numeric vector of length 2 specifying the interval over which the function is to be plotted. Default is   | 
n_points | 
 An integer specifying the number of points to be used for plotting. Default is 1000.  | 
auc | 
 Print AUC in the plot? Default is   | 
x_auc_label | 
 A numeric value specifying the x-coordinate for the AUC label. Default is   | 
y_auc_label | 
 A numeric value specifying the y-coordinate for the AUC label. Default is   | 
auc_label_size | 
 A numeric value specifying the size of the AUC label text. Default is 3.  | 
param_label_size | 
 A numeric value specifying the size of the parameter label text. Default is 3.  | 
base_size | 
 A numeric value specifying the base size for the plot's theme. Default is 12.  | 
color | 
 A character string specifying the color for the plot lines and area fill. Default is "red".  | 
label_color | 
 A character string specifying the color for the labels. Default is "grey30".  | 
A ggplot object representing the plot.
# Example usage
plot_fn(
  fn = "fn_lin_plat",
  params = c(t1 = 34.9, t2 = 61.8, k = 100),
  interval = c(0, 100),
  n_points = 1000
)
plot_fn(
  fn = "fn_lin_pl_lin",
  params <- c(t1 = 38.7, t2 = 62, t3 = 90, k = 0.32, beta = -0.01),
  interval = c(0, 100),
  n_points = 1000,
  base_size = 12
)
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