consistency_scoring: Calculate consistency scores

In AnonZebra/synratss: Handles Data From Synesthesia Consistency Test

Description

Calculates consistency scores using data from a consistency test for synesthesia. Can also create plots for each data set (using the synratss::plot_syn_cons function).

Usage

consistency_scoring(
  part_df,
  id_col_name,
  timestamp_col_name,
  plotdir = NULL,
  method = "euclidean",
  fmt = "Luv",
  nameby = NULL,
  swedish_chars = FALSE,
  swedish_weekdays = FALSE,
  participant_ids = NULL,
  category_lines = FALSE,
  multi_char_category = FALSE
)

Arguments

part_df	participant consistency test raw data frame
plotdir	(optional) directory path for directory to put plots in
method	method to use in color space distance calculations ("euclidean" for Euclidean distances, "manhattan" for Manhattan/city block distances - "euclidean" is standard)
fmt	specifies color format/space to be used ("sRGB", "Luv")
nameby	(optional) name, in quotes, of column to name output plots by, e. g. "USERNAME"
swedish_chars	specify if swedish characters are in the data frame or not
swedish_weekdays	specify if swedish weekdays are in the data frame or not
participant_ids	a vector for naming output plots. needs to be in the same order as the part_df participants.
category_lines	if TRUE and plotdir is set, drawn plots will include lines representing the mean score per category
multi_char_category	if TRUE, plotdir is set, and category_lines is TRUE, category lines will include a line for representing mean score of multi character category

See Also

prop_col dist_sum plot_syn_cons

AnonZebra/synratss documentation built on Oct. 9, 2021, 2:31 a.m.