plot_model_parameters function

Plot best-fitting parameters of model fit

Function to plot the best-fitting parameters of either the 2-component or 3-component model. .

plot_model_parameters(
  model_fit,
  model,
  id_var = "id",
  set_size_var = NULL,
  condition_var = NULL,
  n_col = 2,
  return_data = FALSE,
  palette = "Dark2"
)

Arguments

• model_fit: The model fit object containing the parameters to be plotted.
• model: A string indicating the model that was fit to the data. Currently the options are "2_component", "3_component", "slots", and "slots_averaging".
• id_var: The column name coding for participant id.
• set_size_var: The column name (if applicable) coding for the set size of each response.
• condition_var: The column name (if applicable) coding for the condition of each response.
• n_col: An integer controlling the number of columns in the resulting plot.
• return_data: A boolean (TRUE or FALSE) indicating whether the data for the plot should be returned.
• palette: A character stating the preferred colour palette to use. To see all available palettes, type?scale_colour_brewer into the console.

Returns

If return_data is set to FALSE (which it is by default),the function returns a ggplot2 object visualising the mean model parameters across participants (if applicable) per set-size (if applicable) and condition (if applicable).

If return_data is set to TRUE, the function returns a list with two components:

• plot: The ggplot2 object.
• data: A data frame with the data used to generate the plot.