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

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.