Series3 {Tri.Hierarchical.IBDs} | R Documentation |
Tri-Hierarchical IBDs using Rectangular Association Scheme
Description
This function provides the Tri-Hierarchical IBDs based on Rectangular association scheme. Here, v= m*n, v should be composite number and (m,n)>=3. We find balanced incomplete block designs (BIBD) at block level and rectangular PBIB designs at sub-block level as well as sub-sub block level. Information matrix pertaining to the estimation of treatments effects, canonical efficiency factor in comparison to an orthogonal design and six component designs are provided.
Usage
Series3(
m,
n,
D1 = FALSE,
D2 = FALSE,
D3 = FALSE,
D4 = FALSE,
D5 = FALSE,
D6 = FALSE,
Randomization = FALSE
)
Arguments
m |
Any integer >=3 |
n |
Any integer >=3 |
D1 |
Bi-Hierarchical IBD by ignoring blocks |
D2 |
Bi-Hierarchical IBD by ignoring sub-blocks |
D3 |
Bi-Hierarchical IBD by ignoring sub-sub blocks |
D4 |
IBD at block level |
D5 |
IBD at sub block level |
D6 |
IBD at sub-sub block level |
Randomization |
Randomization of layout of the designs if needed enter TRUE; by default it is FALSE. |
Value
It gives Tri-HIB design and six component designs with canonical efficiency factor in comparison to an orthogonal design.
Note
Numbers in the outer most parentheses represents as block elements, second level parentheses as sub block elements and inner most parentheses as sub-sub block elements.
References
Preece, D.A. (1967) <https://doi.org/10.1093/biomet/54.3-4.479>."Nested balanced incomplete block designs".
Examples
library(Tri.Hierarchical.IBDs)
Series3(4,3,D1=TRUE,D2=TRUE, D3=TRUE, D4=TRUE,D5=FALSE,D6=TRUE,Randomization=TRUE)