design.split {agricolae} | R Documentation

## Split Plot Design

### Description

It generates split plot design. "Random" uses the methods of number generation in R. The seed is by set.seed(seed, kinds).

### Usage

    design.split(trt1, trt2,r=NULL, design=c("rcbd","crd","lsd"),serie = 2,
    seed = 0, kinds = "Super-Duper", first=TRUE,randomization=TRUE)

### Arguments

`trt1` | Treatments in Plots
`trt2` | Treatments in Subplots
`r` | Replications or blocks
`design` | Experimental design
`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
`book` | Fieldbook

### Author(s)

Felipe de Mendiburu

### References

Statistical Procedures for Agricultural Research. Kwanchai A. Gomez, Arturo A. Gomez. John Wiley & Sons, new York, 1984

### See Also

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

### Examples

    library(agricolae)
    # 4 treatments and 5 blocks in split-plot
    t1<-c("A","B","C","D")
    t2<-c(1,2,3)
    outdesign <-design.split(t1,t2,r=3,serie=2,seed=45,kinds ="Super-Duper")#seed=45
    book<-outdesign$book# field book
    # write in hard disk
    # write.table(book,"book.txt", row.names=FALSE, sep="\t")
    # file.show("book.txt")

[Package agricolae version 1.2-9 Index]