OBrienKaiser: O'Brien and Kaiser's Repeated-Measures Data
In RcmdrPlugin.aRnova: R Commander Plug-in for Repeated-Measures ANOVA
Description
Usage
Format
Source
Examples
Description
These contrived repeated-measures data are taken from
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 treatment factor are set to -2, 1, 1 and
0, -1, 1. The contrasts for the gender factor are set to
contr.sum.
Usage
1
Format
A data frame with 16 observations on the following 17 variables.
treatmenta factor with levels control A B
gendera factor with levels F M
pre.1pretest, hour 1
pre.2pretest, hour 2
pre.3pretest, hour 3
pre.4pretest, hour 4
pre.5pretest, hour 5
post.1posttest, hour 1
post.2posttest, hour 2
post.3posttest, hour 3
post.4posttest, hour 4
post.5posttest, hour 5
fup.1follow-up, hour 1
fup.2follow-up, hour 2
fup.3follow-up, hour 3
fup.4follow-up, hour 4
fup.5follow-up, hour 5
Source
O'Brien, R. G., and Kaiser, M. K. (1985)
MANOVA method for analyzing repeated measures designs: An extensive primer.
Psychological Bulletin 97, 316–333, Table 7.
Examples
1
2
3
OBrienKaiser
contrasts(OBrienKaiser$treatment)
contrasts(OBrienKaiser$gender)
Example output
Warning message:
no DISPLAY variable so Tk is not available
treatment gender pre.1 pre.2 pre.3 pre.4 pre.5 post.1 post.2 post.3 post.4
1 control M 1 2 4 2 1 3 2 5 3
2 control M 4 4 5 3 4 2 2 3 5
3 control M 5 6 5 7 7 4 5 7 5
4 control F 5 4 7 5 4 2 2 3 5
5 control F 3 4 6 4 3 6 7 8 6
6 A M 7 8 7 9 9 9 9 10 8
7 A M 5 5 6 4 5 7 7 8 10
8 A F 2 3 5 3 2 2 4 8 6
9 A F 3 3 4 6 4 4 5 6 4
10 B M 4 4 5 3 4 6 7 6 8
11 B M 3 3 4 2 3 5 4 7 5
12 B M 6 7 8 6 3 9 10 11 9
13 B F 5 5 6 8 6 4 6 6 8
14 B F 2 2 3 1 2 5 6 7 5
15 B F 2 2 3 4 4 6 6 7 9
16 B F 4 5 7 5 4 7 7 8 6
post.5 fup.1 fup.2 fup.3 fup.4 fup.5
1 2 2 3 2 4 4
2 3 4 5 6 4 1
3 4 7 6 9 7 6
4 3 4 4 5 3 4
5 3 4 3 6 4 3
6 9 9 10 11 9 6
7 8 8 9 11 9 8
8 5 6 6 7 5 6
9 1 5 4 7 5 4
10 8 8 8 9 7 8
11 4 5 6 8 6 5
12 6 8 7 10 8 7
13 6 7 7 8 10 8
14 2 6 7 8 6 3
15 7 7 7 8 6 7
16 7 7 8 10 8 7
[,1] [,2]
control -2 0
A 1 -1
B 1 1
[,1]
F 1
M -1
RcmdrPlugin.aRnova documentation built on May 2, 2019, 3:19 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Format Source Examples
Description
These contrived repeated-measures data are taken from 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 treatment factor are set to -2, 1, 1 and
0, -1, 1. The contrasts for the gender factor are set to
contr.sum.
Usage
1 |
Format
A data frame with 16 observations on the following 17 variables.
treatmenta factor with levels
controlABgendera factor with levels
FMpre.1pretest, hour 1
pre.2pretest, hour 2
pre.3pretest, hour 3
pre.4pretest, hour 4
pre.5pretest, hour 5
post.1posttest, hour 1
post.2posttest, hour 2
post.3posttest, hour 3
post.4posttest, hour 4
post.5posttest, hour 5
fup.1follow-up, hour 1
fup.2follow-up, hour 2
fup.3follow-up, hour 3
fup.4follow-up, hour 4
fup.5follow-up, hour 5
Source
O'Brien, R. G., and Kaiser, M. K. (1985) MANOVA method for analyzing repeated measures designs: An extensive primer. Psychological Bulletin 97, 316–333, Table 7.
Examples
1 2 3 | OBrienKaiser
contrasts(OBrienKaiser$treatment)
contrasts(OBrienKaiser$gender)
|
Example output
Warning message:
no DISPLAY variable so Tk is not available
treatment gender pre.1 pre.2 pre.3 pre.4 pre.5 post.1 post.2 post.3 post.4
1 control M 1 2 4 2 1 3 2 5 3
2 control M 4 4 5 3 4 2 2 3 5
3 control M 5 6 5 7 7 4 5 7 5
4 control F 5 4 7 5 4 2 2 3 5
5 control F 3 4 6 4 3 6 7 8 6
6 A M 7 8 7 9 9 9 9 10 8
7 A M 5 5 6 4 5 7 7 8 10
8 A F 2 3 5 3 2 2 4 8 6
9 A F 3 3 4 6 4 4 5 6 4
10 B M 4 4 5 3 4 6 7 6 8
11 B M 3 3 4 2 3 5 4 7 5
12 B M 6 7 8 6 3 9 10 11 9
13 B F 5 5 6 8 6 4 6 6 8
14 B F 2 2 3 1 2 5 6 7 5
15 B F 2 2 3 4 4 6 6 7 9
16 B F 4 5 7 5 4 7 7 8 6
post.5 fup.1 fup.2 fup.3 fup.4 fup.5
1 2 2 3 2 4 4
2 3 4 5 6 4 1
3 4 7 6 9 7 6
4 3 4 4 5 3 4
5 3 4 3 6 4 3
6 9 9 10 11 9 6
7 8 8 9 11 9 8
8 5 6 6 7 5 6
9 1 5 4 7 5 4
10 8 8 8 9 7 8
11 4 5 6 8 6 5
12 6 8 7 10 8 7
13 6 7 7 8 10 8
14 2 6 7 8 6 3
15 7 7 7 8 6 7
16 7 7 8 10 8 7
[,1] [,2]
control -2 0
A 1 -1
B 1 1
[,1]
F 1
M -1
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.