calc_basic_stats_obs: Calculate Basic Mean, Standard Deviations, and Percentages for Observed and Predicted Data

Description

Backend functions to compute the mean response times, standard deviations of response times, and response proportions; for both observed RTs or the predicted probability density functions.

Usage

calc_basic_stats_obs(rts_u, rts_l, one_cond)
calc_basic_stats_pred(
  pdf_u,
  pdf_l,
  one_cond,
  t_vec,
  dt,
  skip_if_contr_low = NULL
)

Value

A data.frame with columns:

Cond: Condition label.
Mean_U: Mean response time for the upper boundary
Mean_L: Mean response time for the lower boundary
SD_U: Mean response time for the upper boundary
SD_L: Mean response time for the lower boundary
P_U: Proportion of upper-boundary responses.

Arguments

rts_u, rts_l: numeric, vectors of response times for the upper and lower boundaries.
one_cond: character, a label for the condition.
pdf_u, pdf_l: numeric, vectors of probability density values for the upper and lower boundaries.
t_vec: numeric vector, containing the time points corresponding to the probability density values.
dt: a single numeric, providing the step size in t_vec.
skip_if_contr_low: a single numeric, threshold below which probability densities are ignored (default is obtained from drift_dm_skip_if_contr_low()).

Details

For observed data, calculates mean RTs, standard deviations of RTs, and the proportion of upper responses.
The same statistics are calculated for the probability density values (via simple numerical integration)