Description Usage Arguments Details Value References Examples
Specifies Latin square cross-over designs.
1 |
D |
The number of treatments. Must be a single
|
labels |
A |
as_matrix |
A |
summary |
A |
seq_latin()
supports the specification of Latin square designs.
Designs for any number of treatments (see D
) are supported, for any
chosen treatment labels (see labels
). In addition, the designs can be
returned in matrix
or tibble
form
(see as_matrix
).
Precisely, the (k,j)th element of the cross-over design matrix corresponds to the treatment a subject on the kth sequence would receive in the jth period.
Either a matrix
if as_matrix = T
(with
rows corresponding to sequences and columns to periods), or a
tibble
if as_matrix = F
(with rows corresponding
to a particular period on a particular sequence). In either case, the
returned object will have class xover_seq
.
Bailey RA (2008) Design of Comparative Experiments. Cambridge University Press: Cambridge.
Jones B, Kenward MG (2014) Design and Analysis of Cross-Over Trials. Chapman and Hall: London, 3rd Edition.
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