Split Plot Design

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

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

Value

parameters

Design parameters

book

Fieldbook

Details

kinds <- c("Wichmann-Hill", "Marsaglia-Multicarry", "Super-Duper", "Mersenne-Twister", "Knuth-TAOCP", "user-supplied", "Knuth-TAOCP-2002", "default" )

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")