design.rcbd {agricolae} | R Documentation |
It generates Randomized Complete Block Design. "Random" uses the methods of number generation in R. The seed is by set.seed(seed, kinds).
design.rcbd(trt, r, number = 1, seed = 0, kinds = "Super-Duper")
trt |
Treatments |
r |
Replications or blocks |
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" )
trt |
vector, name of the treatments |
r |
vector, numeric |
number |
Numeric |
seed |
Numeric |
Felipe de Mendiburu
Introduction to Experimental Statistics. Ching Chun Li. McGraw-Hill Book Company, INC, New. York, 1964
design.crd
, design.lsd
, random.ab
,
fact.nk
library(agricolae) # 4 treatments and 5 blocks trt<-c("A","B","C","D") rcbd <-design.rcbd(trt,5,number=101,45,"Super-Duper") # seed = 45 rcbd # field book plots <-as.numeric(rcbd[,1]) trt <-as.character(rcbd[,3]) dim(plots)<-c(4,5) dim(trt) <-c(4,5) print(t(plots)) print(t(trt)) # write in hard disk # write.table(rcbd,"rcbd.txt", row.names=FALSE, sep="\t") # file.show("rcbd.txt")