design.split {agricolae} | 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
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")