| 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:
subjectInteger identity of the subject.
groupClassification of the subjects according to their susceptbility to stressors. Factor with levels G1, G2, and G3.
challengeLevel of challenge of the task. Ordered factor with levels M1, M2, M3, M4.
measurePsychophisiological 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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