design.youden {agricolae} | R Documentation |

## Incomplete Latin Square Design

### Description

Such designs are referred to as Youden squares since they were introduced by Youden (1937) after Yates (1936) considered the special case of column equal to number treatment minus 1. "Random" uses the methods of number generation in R. The seed is by set.seed(seed, kinds).

### Usage

```
design.youden(trt, r, serie = 2, seed = 0, kinds = "Super-Duper",first=TRUE
,randomization=TRUE)
```

### Arguments

`trt` |
Treatments |

`r` |
Replications or number of columns |

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

`seed` |
seed |

`kinds` |
method for to randomize |

`first` |
TRUE or FALSE - randomize rep 1 |

`randomization` |
TRUE or FALSE - randomize |

### Details

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

### Value

`parameters` |
Design parameters |

`sketch` |
Design sketch |

`book` |
Fieldbook |

### Author(s)

Felipe de Mendiburu

### References

Design and Analysis of experiment. Hinkelmann, Klaus and Kempthorne, Oscar. Wiley-Interscience. Copyright (2008) by John Wiley and Sons. Inc., Hoboken, new Yersy

### See Also

`design.ab`

, `design.alpha`

,`design.bib`

,
`design.crd `

, `design.cyclic `

, `design.dau `

,
`design.graeco`

, `design.lattice`

, `design.split`

,
`design.rcbd`

, `design.strip`

, `design.lsd`

### Examples

```
library(agricolae)
varieties<-c("perricholi","yungay","maria bonita","tomasa")
r<-3
outdesign <-design.youden(varieties,r,serie=2,seed=23)
youden <- outdesign$book
print(outdesign$sketch)
plots <-as.numeric(youden[,1])
print(matrix(plots,byrow=TRUE,ncol=r))
print(youden) # field book.
# Write on hard disk.
# write.table(youden,"youden.txt", row.names=FALSE, sep="\t")
# file.show("youden.txt")
```

*agricolae*version 1.3-7 Index]