Ergometrics experiment with stool types

Description

The ergoStool data frame has 36 rows and 3 columns.

Format

This data frame contains the following columns:

effort

a numeric vector giving the effort (Borg scale) required to arise from a stool.

Type

a factor with levels T1, T2, T3, and T4 giving the stool type.

Subject

an ordered factor giving a unique identifier for the subject in the experiment.

Details

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.”

Source

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.

Examples

fm1 <-
   lme(effort ~ Type, data = ergoStool, random = ~ 1 | Subject)
anova( fm1 )