RootStock {heplots} | R Documentation |
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.
data(RootStock)
A data frame with 48 observations on the following 5 variables.
rootstock
1
2
3
4
5
6
girth4
ext4
girth15
weight15
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
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) linear.hypothesis(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,]))