R: Design of experiments for a factorial

design.ab {agricolae} | R Documentation

## Design of experiments for a factorial

### Description

It generates a design of blocks, randomize and latin square for combined n. factors uses the methods of number generation in R. The seed is by set.seed(seed, kinds).

### Usage

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

### Arguments

`trt` | n levels factors
`r` | Replications or Blocks
`serie` | number plot, 1: 11,12; 2: 101,102; 3: 1001,1002
`design` | type
`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` | list
`book` | dataframe

### Author(s)

Felipe de Mendiburu

### References

Introduction to Experimental Statistics. Ching Chun Li. McGraw-Hill Book Company, INC, New. York, 1964

### See Also

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

### Examples

    # factorial 3 x 2 with 3 blocks
    library(agricolae)
    trt<-c(3,2) # factorial 3x2
    outdesign <-design.ab(trt, r=3, serie=2)
    book<-outdesign$book
    head(book,10) # print of the field book
    # factorial 2 x 2 x 2 with 5 replications in completely randomized design.
    trt<-c(2,2,2)
    outdesign<-design.ab(trt, r=5, serie=2,design="crd")
    book<-outdesign$book
    print(book)
    # factorial 3 x 3 in latin square design.
    trt <-c(3,3)
    outdesign<-design.ab(trt, serie=2, design="lsd")
    book<-outdesign$book
    print(book)

[Package agricolae version 1.2-6 Index]