litter {multcomp} | R Documentation |
Dose response of litter weights in rats; data set taken from Westfall et al. (1999, p. 109). Specific dose comparisons in a dose response experiment with two covariates.
data(litter)
This data frame contains the following variables
0
, 5
, 50
,
500
.See Westfall et al. (1999, p. 109)
P. H. Westfall, R. D. Tobias, D. Rom, R. D. Wolfinger, Y. Hochberg (1999). Multiple Comparisons and Multiple Tests Using the SAS System. Cary, NC: SAS Institute Inc.
data(litter) # define the contrast matrix, either completly C <- matrix(c(0,0,0,0,0,0,1,1,1,.75,.384,.887,-1,0,0,.25,.37,.113, 0,-1,0,-.25,.246,-.339,0,0,-1,-.75,-1,-.661,0,0,0, 0,0,0,0,0,0,0,0,0), ncol=7) # numerate the contrasts rownames(C) <- paste("C", 1:nrow(C), sep="") # simultaneous confidence intervals for above comparisons # in an ANCOVA summary(simint(weight ~ dose + gesttime + number, data=litter, alternative="greater", cmatrix=C)) # or for dose only D <- matrix(c(1,1,1,.75,.384,.887,-1,0,0,.25,.37,.113,0,-1,0,-.25, .246,-.339,0,0,-1,-.75,-1,-.661),ncol = 4) rownames(D) <- paste("D", 1:nrow(D), sep="") summary(simint(weight ~ dose + gesttime + number, data=litter, whichf="dose", alternative="greater", cmatrix=D))