design.strip | R Documentation |
It generates strip plot design. "Random" uses the methods of number generation in R. The seed is by set.seed(seed, kinds).
design.strip(trt1, trt2,r, serie = 2, seed = 0, kinds = "Super-Duper",randomization=TRUE)
trt1 |
Row treatments |
trt2 |
column treatments |
r |
Replications |
serie |
number plot, 1: 11,12; 2: 101,102; 3: 1001,1002 |
seed |
seed |
kinds |
method for to randomize |
randomization |
TRUE or FALSE - randomize |
kinds <- c("Wichmann-Hill", "Marsaglia-Multicarry", "Super-Duper", "Mersenne-Twister", "Knuth-TAOCP", "user-supplied", "Knuth-TAOCP-2002", "default" )
parameters |
Design parameters |
book |
Fieldbook |
Felipe de Mendiburu
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.split
library(agricolae)
# 4 and 3 treatments and 3 blocks in strip-plot
t1<-c("A","B","C","D")
t2<-c(1,2,3)
r<-3
outdesign <-design.strip(t1,t2,r, 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")
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