design.split {agricolae} | R Documentation |
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"),number = 1, seed = 0, kinds = "Super-Duper")
trt1 |
Treatments in Plots |
trt2 |
Treatments in Subplots |
r |
Replications or blocks |
design |
Experimental design |
number |
number of first plot |
seed |
seed |
kinds |
method for to randomize |
kinds <- c("Wichmann-Hill", "Marsaglia-Multicarry", "Super-Duper", "Mersenne-Twister", "Knuth-TAOCP", "user-supplied", "Knuth-TAOCP-2002", "default" )
trt1 |
vector, numeric |
trt2 |
vector, numeric |
r |
vector, numeric |
design |
character |
number |
Numeric |
seed |
Numeric |
Felipe de Mendiburu
Statistical Procedures for Agricultural Research. Kwanchai A. Gomez, Arturo A. Gomez. John Wiley & Sons, new York, 1984
design.crd
, design.lsd
, random.ab
,
fact.nk
library(agricolae) # 4 treatments and 5 blocks in split-plot t1<-c("A","B","C","D") t2<-c(1,2,3) book <-design.split(t1,t2,r=3,number=101,seed=45,kinds ="Super-Duper") # seed = 45 book # field book # write in hard disk # write.table(book,"book.txt", row.names=FALSE, sep="\t") # file.show("book.txt")