design.cyclic: Cyclic designs
In agricolae: Statistical Procedures for Agricultural Research

design.cyclic

R Documentation

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 <= 10.

Usage

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

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
`randomization`	TRUE or FALSE - randomize

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.

Value

`parameters`	Design parameters
`sketch`	Design sketch
`book`	Fieldbook

Author(s)

Felipe de Mendiburu

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.

Examples

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

agricolae documentation built on Oct. 23, 2023, 1:06 a.m.