blocksdesign (version 3.0)

blocksdesign-deprecated: Deprecated functions in package blocksdesign.

Description

The functions listed below are deprecated and will be defunct in the near future. When possible, alternative functions with similar functionality are also mentioned. Help pages for deprecated functions are available at help("-deprecated").

Usage

factblocks(treatments, replicates = 1, rows = NULL, columns = NULL,
  model = NULL, searches = NULL, seed = NULL, jumps = 1)

<code>factblocks</code>

For factblocks, use design.

References

Sailer, M. O. (2013). crossdes: Construction of Crossover Designs. R package version 1.1-1. https://CRAN.R-project.org/package=crossdes

Edmondson R. N. (1998). Trojan square and incomplete Trojan square designs for crop research. Journal of Agricultural Science, Cambridge, 131, pp.135-142

Cochran, W.G., and G.M. Cox. 1957. Experimental Designs, 2nd ed., Wiley, New York.

Examples

# NOT RUN {
## The number of searches in the examples have been limited for fast execution. 
## For optimum results, the number of searches may need to be increased in practice.
## Designs should be rebuilt repeatedly to check that a near-optimum design has been found.  


## Factorial designs defined by a treatments data frame and a factorial model equation.

# Main effects of five 2-level factors in a half-fraction of a 4 x 4 row-and column design.
GF = expand.grid(F1=factor(1:2),F2=factor(1:2),F3=factor(1:2),F4=factor(1:2),F5=factor(1:2))
factblocks(treatments=GF,model="~ F1+F2+F3+F4+F5",replicates=.5,rows=4,columns=4,searches=20)


# Second-order model for five qualitative 2-level factors in 4 randomized blocks
GF=expand.grid(F1=factor(1:2),F2=factor(1:2),F3=factor(1:2),F4=factor(1:2),F5=factor(1:2))
factblocks(treatments=GF,model=" ~ (F1+F2+F3+F4+F5)^2",rows=4,searches=5)

# First-order model for 1/3rd fraction of four qualitative 3-level factors in 3  blocks
GF=expand.grid(F1=factor(1:3),F2=factor(1:3),F3=factor(1:3),F4=factor(1:3))
factblocks(treatments=GF,model=" ~ F1+F2+F3+F4",replicates=(1/3),rows=3,searches=5)

# Second-order model for a 1/3rd fraction of five qualitative 3-level factors in 3 blocks
GF=expand.grid( F1=factor(1:3), F2=factor(1:3), F3=factor(1:3), F4=factor(1:3), F5=factor(1:3) )
factblocks(treatments=GF,model=" ~ (F1+F2+F3+F4+F5)^2",rows=3,replicates=(1/3),searches=5)

# Second-order model for two qualitative and two quantitative level factors in 4 randomized blocks
GF=expand.grid(F1=factor(1:2),F2=factor(1:3),V1=1:3,V2=1:4)
modelform=" ~ F1 + F2 + poly(V1,2) +  poly(V2,2) + (poly(V1,1)+F1+F2):(poly(V2,1)+F1+F2) "
# }
# NOT RUN {
factblocks(treatments=GF,model=modelform,rows=4,searches=5)
# }
# NOT RUN {
# Plackett and Burman design for eleven 2-level factors in 12 runs (needs large number of searches)
GF=expand.grid(F1=factor(1:2),F2=factor(1:2),F3=factor(1:2),F4=factor(1:2),F5=factor(1:2),
F6=factor(1:2),F7=factor(1:2),F8=factor(1:2),F9=factor(1:2),F10=factor(1:2),F11=factor(1:2))
# }
# NOT RUN {
factblocks(GF,model="~ F1+F2+F3+F4+F5+F6+F7+F8+F9+F10+F11",replicates=(12/2048))
# }
# NOT RUN {

# }