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