infantLearning: Infant categorization learning data
In hmmr: Data and examples package accompanying the book 'HMMs with R'

Description Usage Format Source Examples

Data are from 19 infants (11.5-12.5 months) learning to categorize objects based on a single feature, either form or color. Each infant performed 28 trials of an occluder paradigm: the stimulus appears, disappears behind an occluder, and then reappears at either the left or right hand side of the screen. Learning is determined by anticipatory looking to the correct side of the screen. Importantly, these data also contain a measure of habituation: the number of times infants look away from the screen on which the stimulus is projected. Infants tend to start paying less attention when stimuli are presented repeatedly, which may interfere with determining whether learning has taken place. The data consists of 8 variables describing several aspects of the learning process, see details below.

1	data(infantLearning)

A data frame with 532 observations on the following 8 variables.

id: infant id
trial: trial number
center: the number of looks at the center of the screen.
away: the number of looks away from the screen/stimulus.
cor: the number of correct anticipatory looks.
inc: the number of incorrect anticipatory looks.
looks: the total number of looks during the trial (sum of center, away, cor, and inc).
last: a factor with levels cor inc no; whether the last look of infants was a 'cor'rect anticipation, an 'inc'orrect antipation or 'no' anticipation at all.