Returns participant-level summary statistic data of response error estimates ready for inferential analysis. Note that the function does not actually conduct the analysis.
data: A data frame with columns containing: participant identifier (declared via variable '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').
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 quoted 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 quoted column name coding for the participants' responses
target_var: The quoted column name coding for the target value.
set_size_var: The quoted column name (if applicable) coding for the set size of each response.
condition_var: The quoted column name (if applicable) coding for the condition of each response.
Returns
Returns a data frame containing the summary statistics mean_absolute_error, resultant_vector_length, precision, and bias per participant (if applicable), set-size (if applicable), and condition (if applicable).
Examples
# load an example data framedata(bays2009_full)# calculate the summary statistics per condition and per set sizesummary_data <- get_summary_statistics(data = bays2009_full, unit ="radians", condition_var ="duration", set_size_var ="set_size")