A long-format dataset from a stop-signal variant of a random-dot
motion-discrimination task in which the stop-signal delay (SOA) was set to
one of six fixed values rather than being tracked by a staircase.
It complements the adaptive dataset and is intended for
demonstrating the fixed-SSD estimators integration_fixedSSD
and mean_fixedSSD.
fixedA data frame with 28,799 rows (50 subjects) and 8 columns:
Integer subject identifier. Subject 2 from the original recording is excluded (see Details), so the IDs run 1 and 3-51.
Trial number within subject (1-576; a subject with one removed trial has 575).
Trial type: 0 = go trial, 1 = stop trial.
Observed reaction time in milliseconds. NA when no
response was made (successfully inhibited stop trials and go-trial
omissions).
Accuracy indicator (1 = correct go response or
successful inhibition; 0 otherwise).
Stop-signal delay (SOA) in milliseconds for stop trials, one of
six fixed values (100, 200, 300, 400, 500, 600 ms); NA on go
trials, matching the adaptive dataset.
Motion coherence for the go discrimination (0.1, 0.5, or 0.8), an experimental difficulty manipulation.
Response direction ("left", "right", or
NA when no response was made).
All timing variables are in milliseconds, matching the rest of the
package and the adaptive dataset.
During preparation, subject 2 (who had no recorded responses on any trial) and a single stop trial with a recorded reaction time of 0 ms were removed. Subject identifiers otherwise follow the original recording, so identifier 2 is absent.
data(fixed)
d <- fixed[fixed$SubjID == 1, ]
integration_fixedSSD(d)
mean_fixedSSD(d)
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