design.graeco | R Documentation |

A graeco - latin square is a KxK pattern that permits the study of k treatments simultaneously with three different blocking variables, each at k levels.

The function is only for squares of the odd numbers and even numbers (4, 8, 10 and 12)

```
design.graeco(trt1, trt2, serie = 2, seed = 0, kinds = "Super-Duper",randomization=TRUE)
```

`trt1` |
Treatments |

`trt2` |
Treatments |

`serie` |
number plot, 1: 11,12; 2: 101,102; 3: 1001,1002 |

`seed` |
seed |

`kinds` |
method for to randomize |

`randomization` |
TRUE or FALSE - randomize |

kinds <- c("Wichmann-Hill", "Marsaglia-Multicarry", "Super-Duper", "Mersenne-Twister", "Knuth-TAOCP", "user-supplied", "Knuth-TAOCP-2002", "default" )

`parameters` |
Design parameters |

`book` |
Fieldbook |

Felipe de Mendiburu

1. Statistics for Experimenters Design, Innovation, and Discovery Second Edition. George E. P. Box. Wiley-Interscience. 2005.

2. Experimental design. Cochran and Cox. Second edition. Wiley Classics Library Edition published 1992.

`design.ab`

, `design.alpha`

,`design.bib`

,
`design.crd `

, `design.cyclic `

, `design.dau `

,
`design.split`

, `design.lattice`

, `design.lsd`

,
`design.rcbd`

, `design.strip`

```
library(agricolae)
T1<-c("a","b","c","d")
T2<-c("v","w","x","y")
outdesign <- design.graeco(T1,T2,serie=1)
graeco<-outdesign$book
plots <-as.numeric(graeco[,1])
print(outdesign$sketch)
print(matrix(plots,byrow=TRUE,ncol=4))
# 10 x 10
T1 <- letters[1:10]
T2 <- 1:10
outdesign <- design.graeco(T1,T2,serie=2)
print(outdesign$sketch)
```

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