OBrienKaiser

These contrived repeate-measures data are taken from Table 7 of 
  O'Brien and Kaiser (1985). The data are from an imaginary study in which
  16 female and male subjects, who are divided into three treatments, are measured
  at a pretest, postest, and a follow-up session; during each session, they are
  measured at five occasions at intervals of one hour. The design, therefore, has
  two between-subject and two within-subject factors.
  
  The contrasts for the <code>treatment</code> factor are set to $-2, 1, 1$ and
  $0, -1, 1$. The contrasts for the <code>gender</code> factor are set to
  <code>contr.sum</code>.

datasets


  This package accompanies J. Fox, An R and S-PLUS Companion to Applied Regression,
  Sage, 2002.
  The package contains mostly functions for applied regression, linear models, and
  generalized linear models, with an emphasis on regression diagnostics, particularly 
  graphical diagnostic methods. There are also some utility functions. 
  With some exceptions, I have tried not to duplicate capabilities in the basic distribution of R, 
  nor in widely used packages. Where relevant, the functions in car are consistent with 
  na.action = na.omit or na.exclude.

John Fox

Companion to Applied Regression

OBrienKaiser function

O'Brien, R. G., and Kaiser, M. K. (1985)
  MANOVA method for analyzing repeated measures designs: An extensive primer.
  <em>Psychological Bulletin</em> <b>97</b>, 316--333.

OBrienKaiser: O'Brien and Kaiser's Repeated-Measures Data

Description

Usage

Arguments

source

Examples