Ergometrics experiment with stool types
The ergoStool data frame has 36 rows and 3 columns.
This data frame contains the following columns:
a numeric vector giving the effort (Borg scale) required to arise from a stool.
a factor with levels
T1,
T2,
T3, and
T4 giving the stool type.
an ordered factor giving a unique identifier for the subject in the experiment.
Devore (2000) cites data from an article in Ergometrics (1993, pp. 519-535) on “The Effects of a Pneumatic Stool and a One-Legged Stool on Lower Limb Joint Load and Muscular Activity.”
Pinheiro, J. C. and Bates, D. M. (2000), Mixed-Effects Models in S and S-PLUS, Springer, New York. (Appendix A.9)
Devore, J. L. (2000), Probability and Statistics for Engineering and the Sciences (5th ed), Duxbury, Boston, MA.
fm1 <- lme(effort ~ Type, data = ergoStool, random = ~ 1 | Subject) anova( fm1 )
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