Learn R Programming

agricolae (version 1.1-5)

design.ab: Design in blocks for factorial pxq

Description

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).

Usage

design.ab(A, B, r, number = 1, seed = 0, kinds = "Super-Duper")

Arguments

A
Levels of A
B
Levels of B
r
Replications or Blocks
number
Number of first plot
seed
Seed
kinds
Method for to randomize

Value

  • Avector, name of the levels of the first factor
  • Bvector, name of the levels of the second factor
  • rNumeric
  • numberNumeric
  • seedNumeric

Details

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

References

Introduction to Experimental Statistics. Ching Chun Li. McGraw-Hill Book Company, INC, New. York, 1964

See Also

design.crd, design.rcbd, design.lsd, random.ab, fact.nk

Examples

Run this code
# 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

Run the code above in your browser using DataLab