plot_model_parameters: Plot best-fitting parameters of model fit

In mixtur: Modelling Continuous Report Visual Short-Term Memory Studies

Plot best-fitting parameters of model fit

Description

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

Usage

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.

Value

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.

mixtur documentation built on April 6, 2023, 5:19 p.m.