Learn R Programming

agricolae (version 1.2-0)

design.cyclic: Cyclic designs

Description

The cyclic design is a incomplete blocks designs, it is generated from a incomplete block initial of the size k, the plan is generated and randomized. The efficient and robust cyclic designs for 6 to 30 treatments, replications

Usage

design.cyclic(trt, k, r, serie = 2, rowcol = FALSE, seed = 0, kinds = "Super-Duper")

Arguments

trt
vector treatments
k
block size
r
Replications
serie
number plot, 1: 11,12; 2: 101,102; 3: 1001,1002
rowcol
TRUE: row-column design
seed
init seed random
kinds
random method

Value

  • parameterslist
  • sketchlist
  • bookdataframe

Details

Number o treatment 6 to 30. (r) Replication 2 to 10. (k) size of block 2 to 10. replication = i*k, "i" is value integer.

References

Kuehl, Robert(2000), Design of Experiments. 2nd ed., Duxbury. John, J.A. (1981) Efficient Cyclic Design. J. R. Statist. Soc. B, 43, No. 1, pp, 76-80.

See Also

design.ab, design.alpha,design.bib, design.crd, design.split, design.dau, design.graeco, design.lattice, design.lsd, design.rcbd, design.strip

Examples

Run this code
library(agricolae)
trt<-letters[1:8]
# block size = 2, replication = 6
outdesign1 <- design.cyclic(trt,k=2, r=6,serie=2)
names(outdesign1)
# groups 1,2,3
outdesign1$sketch[[1]]
outdesign1$sketch[[2]]
outdesign1$sketch[[3]]
outdesign1$book
# row-column design
outdesign2<- design.cyclic(trt,k=2, r=6, serie=2, rowcol=TRUE)
outdesign2$sketch

Run the code above in your browser using DataLab