| speed1 | R Documentation |
This data set is a bivariate series of response times and accuracy
scores of a single participant switching between slow/accurate
responding and fast guessing on a lexical decision task. The slow and
accurate responding, and the fast guessing can be modelled using two
states, with a switching regime between them. The dataset further
contains a third variable called Pacc, representing the relative
pay-off for accurate responding, which is on a scale of zero to one.
The value of Pacc was varied during the experiment to induce the
switching. This data set is a from participant A in experiment
1a from Dutilh et al (2011). The data here is the first series of
168 trials. The speed data set in the depmixS4 package
has two more series of 134 and 137 trials respectively.
data(speed1)
A data frame with 168 observations on the following 3 variables.
RTa numeric vector of response times (log ms)
ACCa numeric vector of accuracy scores (0/1)
Pacca numeric vector of the pay-off for accuracy
Gilles Dutilh, Eric-Jan Wagenmakers, Ingmar Visser, & Han L. J. van der Maas (2011). A phase transition model for the speed-accuracy trade-off in response time experiments. Cognitive Science, 35:211-250.
data(speed1)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.