design.crd {agricolae} | R Documentation |
It generates completely a randomized design with equal or different repetition. "Random" uses the methods of number generation in R. The seed is by set.seed(seed, kinds).
design.crd(trt, r, number = 1, seed = 0, kinds = "Super-Duper")
trt |
Treatments |
r |
Replications |
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 |
r |
Numeric |
number |
Numeric |
seed |
Numeric |
Felipe de Mendiburu
Introduction to Experimental Statistics. Ching Chun Li. McGraw-Hill Book Company, INC, New. York, 1964
design.rcbd
, design.lsd
, design.ab
,
fact.nk
library(agricolae) cipnumber <-c("CIP-101","CIP-201","CIP-301","CIP-401","CIP-501") rep <-c(4,3,5,4,3) # seed = 12543 crd1 <-design.crd(cipnumber,rep,number=101,12543,"Mersenne-Twister") # no seed crd2 <-design.crd(cipnumber,rep,number=101) # write to hard disk # write.table(crd1,"crd.txt", row.names=FALSE, sep="\t") # file.show("crd.txt")