# design.split: Split Plot Design In agricolae: Statistical Procedures for Agricultural Research

 design.split 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

`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")

``````

agricolae documentation built on Oct. 23, 2023, 1:06 a.m.