design.lsd {agricolae} | R Documentation

## Latin Square Design

### Description

It generates Latin Square Design. "Random" uses the methods of number generation in R. The seed is by set.seed(seed, kinds).

### Usage

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

### Arguments

`trt` | Treatments
`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

Introduction to Experimental Statistics. Ching Chun Li. McGraw-Hill Book Company, INC, New. York, 1969

### See Also

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

### Examples

    library(agricolae)
    varieties<-c("perricholi","yungay","maria bonita","tomasa")
    outdesign <-design.lsd(varieties,serie=2,seed=23)
    lsd <- outdesign$book
    print(outdesign$sketch)
    print(lsd) # field book.
    plots <-as.numeric(lsd[,1])
    print(matrix(plots,byrow = TRUE, ncol = 4))
    # Write on hard disk.
    # write.table(lsd,"lsd.txt", row.names=FALSE, sep="\t")
    # file.show("lsd.txt")

[Package agricolae version 1.2-9 Index]