Keselman | R Documentation |
This data set represents the outcome of an hypothetical experiment, that recorded psychophysiological measures of subjects with different susceptibility to stressors. Each subject performed a task at four different levels of challenge. Data artificially generated from a multivariate lognormal distribution, with unequal variances and covariance structure related to group sample sizes.
Keselman1
Keselman2
Keselman1
is a data frame of 156 rows and 4 columns, with the measures of 39 subjects in a balanced design.
Keselman2
is an unbalanced subset of Keselman1
, with 120 rows and 4 columns, corresponding to the measures of 30 subjects.
Both data frames contain the following variables:
subject
Integer identity of the subject.
group
Classification of the subjects according to their susceptbility to stressors. Factor with levels G1
, G2
, and G3
.
challenge
Level of challenge of the task. Ordered factor with levels M1
, M2
, M3
, M4
.
measure
Psychophisiological measure.
Keselman, H. J. (1998) ‘Testing treatment effects in repeated measures designs: an update for psychophysiological researchers’. Psychophysiology, 35(4), 470-478.
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