isCbalanced: Checking Block Designs for Carryover Balance

In crossdes: Construction of Crossover Designs

Checking Block Designs for Carryover Balance

Description

The function checks whether a block design is balanced for first order carryover effects (residual effects). The user specifies whether there is a preperiod. The design is checked and the left neighbour incidence matrix is given.

Usage

isCbalanced(d, preperiod = FALSE)

Arguments

d	A matrix with entries 1,...,trt representing the experimental design with rows as blocks (subjects). The columns represent periods.
preperiod	Logical flag. TRUE if there is a preperiod. In this case, each subject experiences in the first period the residual effect of the treatment of the last period (i.e. the last period preceeds the first period, i.e. the plots in the last period are left neighbours of the plots in the first period). FALSE if there are no residual effects in the first period.

Details

The design is said to be carryover balanced (balanced for first order carryover effects), if each treatment is preceeded by all other treatments equally often and if no treatment is preceeded by itself. If the design is balanced, this is stated.

Value

1	Logical flag. TRUE if the design is carryover balanced. This is not displayed on the screen.
2	Left neighbour incidence matrix. The (i,j)-th element is the number of times that treatment i preceeds treatment j.

Author(s)

Oliver Sailer

See Also

isGYD

Examples

d1 <- matrix( c(1,2,3,4,1,1,1,1), 4,2)
d2 <- matrix( c(1:4,2:4,1,4,1:3,3,4,1,2),ncol=4)
d3 <- matrix( rep(1:3,each=2), ncol=2)
isCbalanced(d1)
isCbalanced(d1,TRUE)  
isCbalanced(d2)
isCbalanced(d3,TRUE)

crossdes documentation built on April 5, 2022, 1:14 a.m.