Description Usage Format Details Source References Examples

In a classic experiment carried out from 1918 to 1934, growth of apple trees of six different rootstocks were compared on four measures of size.

1 |

A data frame with 48 observations on the following 5 variables.

`rootstock`

a factor with levels

`1`

`2`

`3`

`4`

`5`

`6`

`girth4`

a numeric vector: trunk girth at 4 years (mm x 100)

`ext4`

a numeric vector: extension growth at 4 years (m)

`girth15`

a numeric vector: trunk girth at 15 years (mm x 100)

`weight15`

a numeric vector: weight of tree above ground at 15 years (lb x 1000)

This is a balanced, one-way MANOVA design, with n=8 trees for each rootstock.

Andrews, D. and Herzberg, A. (1985). *Data: A Collection of Problems from Many Fields for the Student and Research Worker*
Springer-Verlag,
pp. 357–360.

Rencher, A. C. (1995). *Methods of Multivariate Analysis*.
New York: Wiley, Table 6.2

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
data(RootStock)
## maybe str(RootStock) ; plot(RootStock) ...
root.mod <- lm(cbind(girth4, ext4, girth15, weight15) ~ rootstock, data=RootStock)
Anova(root.mod)
pairs(root.mod)
# test two orthogonal contrasts among the rootstocks
hyp <- matrix(c(2,-1,-1,-1,-1,2, 1, 0,0,0,0,-1), 2, 6, byrow=TRUE)
linearHypothesis(root.mod, hyp)
heplot(root.mod, hypotheses=list(Contrasts=hyp, C1=hyp[1,], C2=hyp[2,]))
heplot1d(root.mod, hypotheses=list(Contrasts=hyp, C1=hyp[1,], C2=hyp[2,]))
``` |

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