plot_summary_statistic function

Plot summary statistics of behavioural data

Function to plot model-free summary statistics of behavioural data. Users can plot mean absolute error, resultant vector length, and precision of the behavioural data.

plot_summary_statistic(
  data,
  statistic = "precision",
  unit = "degrees",
  id_var = "id",
  response_var = "response",
  target_var = "target",
  set_size_var = NULL,
  condition_var = NULL,
  return_data = FALSE,
  palette = "Dark2"
)

Arguments

• data: A data frame with columns containing: participant identifier ('id_var'); the participants' response per trial ('response_var'); the target value ('target_var'); and, if applicable, the set size of each response ('set_size_var'), and the condition of each response ('condition_var').
• statistic: The summary statistic to plot. This can be set to "mean_absolute_error", "resultant_vector_length", or "precision".
• unit: The unit of measurement in the data frame: "degrees" (measurement is in degrees, from 0 to 360); "degrees_180 (measurement is in degrees, but limited to 0 to 180); or "radians" (measurement is in radians, from pi to 2 * pi, but could also be already in -pi to pi).
• id_var: The column name coding for participant id. If the data is from a single participant (i.e., there is no id column) set to "NULL".
• response_var: The column name coding for the participants' responses.
• target_var: The column name coding for the target value.
• 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.
• 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 summary statistic averaged 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.

Examples

plot_summary_statistic(bays2009_full,
                      unit = "radians",
                      statistic = "precision",
                      set_size_var = "set_size",
                      condition_var = "duration")