| design.ab {agricolae} | R Documentation |
It generates a design of blocks for combined pxq. "Random" uses the methods of number generation in R. The seed is by set.seed(seed, kinds).
design.ab(A, B, r, number = 1, seed = 0, kinds = "Super-Duper")
A |
Levels of A |
B |
Levels of B |
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" )
A |
vector, name of the levels of the first factor |
B |
vector, name of the levels of the second factor |
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.crd, design.rcbd, design.lsd,
random.ab, fact.nk
# factorial 3 x 3 with 5 replications
# 3 varieties from potato and nitrogen in the fertilization, kg/ha
library(agricolae)
variety <- c("perricholi","canchan","tomasa")
nitrogen <- c(40,80,120) # level of nitrogen
rcbd.ab <-design.ab(variety, nitrogen, 5, number=1001)
print(rcbd.ab) # print of the field book