It generates a design of blocks, randomize and latin square for combined n. factors uses the methods of number generation in R. The seed is by set.seed(seed, kinds).

design.ab(
  trt,
  r = NULL,
  serie = 2,
  design = c("rcbd", "crd", "lsd"),
  seed = 0,
  kinds = "Super-Duper",
  first = TRUE,
  randomization = TRUE
)

Arguments

trt

n levels factors

r

Replications or Blocks

serie

number plot, 1: 11,12; 2: 101,102; 3: 1001,1002

design

type

seed

Seed

kinds

Method for to randomize

first

TRUE or FALSE - randomize rep 1

randomization

TRUE or FALSE - randomize

Value

parameters

Design parameters

book

Fieldbook

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

Examples

# factorial 3 x 2 with 3 blocks library(agricolae) trt<-c(3,2) # factorial 3x2 outdesign <-design.ab(trt, r=3, serie=2) book<-outdesign$book head(book,10) # print of the field book
#> plots block A B #> 1 101 1 2 2 #> 2 102 1 1 2 #> 3 103 1 3 2 #> 4 104 1 2 1 #> 5 105 1 1 1 #> 6 106 1 3 1 #> 7 107 2 2 2 #> 8 108 2 3 2 #> 9 109 2 2 1 #> 10 110 2 1 2
# factorial 2 x 2 x 2 with 5 replications in completely randomized design. trt<-c(2,2,2) outdesign<-design.ab(trt, r=5, serie=2,design="crd") book<-outdesign$book print(book)
#> plots r A B C #> 1 101 1 1 1 2 #> 2 102 1 1 2 2 #> 3 103 1 2 1 1 #> 4 104 1 2 2 1 #> 5 105 1 2 2 2 #> 6 106 1 2 1 2 #> 7 107 2 1 1 2 #> 8 108 2 2 2 1 #> 9 109 2 2 2 2 #> 10 110 2 1 2 2 #> 11 111 1 1 1 1 #> 12 112 2 2 1 1 #> 13 113 3 2 2 2 #> 14 114 3 1 2 2 #> 15 115 3 2 1 1 #> 16 116 3 2 2 1 #> 17 117 3 1 1 2 #> 18 118 1 1 2 1 #> 19 119 2 1 2 1 #> 20 120 3 1 2 1 #> 21 121 4 1 2 2 #> 22 122 4 2 2 2 #> 23 123 2 2 1 2 #> 24 124 4 1 2 1 #> 25 125 4 2 1 1 #> 26 126 2 1 1 1 #> 27 127 5 2 1 1 #> 28 128 3 1 1 1 #> 29 129 4 2 2 1 #> 30 130 4 1 1 2 #> 31 131 5 1 2 2 #> 32 132 4 1 1 1 #> 33 133 5 2 2 1 #> 34 134 5 1 1 2 #> 35 135 5 1 1 1 #> 36 136 3 2 1 2 #> 37 137 4 2 1 2 #> 38 138 5 2 2 2 #> 39 139 5 2 1 2 #> 40 140 5 1 2 1
# factorial 3 x 3 in latin square design. trt <-c(3,3) outdesign<-design.ab(trt, serie=2, design="lsd") book<-outdesign$book print(book)
#> plots row col A B #> 1 101 1 1 3 3 #> 2 102 1 2 2 3 #> 3 103 1 3 1 2 #> 4 104 1 4 3 2 #> 5 105 1 5 1 1 #> 6 106 1 6 2 2 #> 7 107 1 7 1 3 #> 8 108 1 8 3 1 #> 9 109 1 9 2 1 #> 10 201 2 1 3 1 #> 11 202 2 2 2 1 #> 12 203 2 3 3 3 #> 13 204 2 4 2 3 #> 14 205 2 5 3 2 #> 15 206 2 6 1 3 #> 16 207 2 7 1 1 #> 17 208 2 8 2 2 #> 18 209 2 9 1 2 #> 19 301 3 1 1 1 #> 20 302 3 2 3 1 #> 21 303 3 3 1 3 #> 22 304 3 4 3 3 #> 23 305 3 5 1 2 #> 24 306 3 6 2 3 #> 25 307 3 7 2 1 #> 26 308 3 8 3 2 #> 27 309 3 9 2 2 #> 28 401 4 1 1 2 #> 29 402 4 2 3 2 #> 30 403 4 3 2 1 #> 31 404 4 4 1 1 #> 32 405 4 5 1 3 #> 33 406 4 6 3 1 #> 34 407 4 7 2 2 #> 35 408 4 8 3 3 #> 36 409 4 9 2 3 #> 37 501 5 1 2 1 #> 38 502 5 2 1 1 #> 39 503 5 3 2 3 #> 40 504 5 4 1 3 #> 41 505 5 5 2 2 #> 42 506 5 6 3 3 #> 43 507 5 7 3 1 #> 44 508 5 8 1 2 #> 45 509 5 9 3 2 #> 46 601 6 1 2 3 #> 47 602 6 2 1 3 #> 48 603 6 3 3 2 #> 49 604 6 4 2 2 #> 50 605 6 5 3 1 #> 51 606 6 6 1 2 #> 52 607 6 7 3 3 #> 53 608 6 8 2 1 #> 54 609 6 9 1 1 #> 55 701 7 1 1 3 #> 56 702 7 2 3 3 #> 57 703 7 3 2 2 #> 58 704 7 4 1 2 #> 59 705 7 5 2 1 #> 60 706 7 6 3 2 #> 61 707 7 7 2 3 #> 62 708 7 8 1 1 #> 63 709 7 9 3 1 #> 64 801 8 1 2 2 #> 65 802 8 2 1 2 #> 66 803 8 3 3 1 #> 67 804 8 4 2 1 #> 68 805 8 5 2 3 #> 69 806 8 6 1 1 #> 70 807 8 7 3 2 #> 71 808 8 8 1 3 #> 72 809 8 9 3 3 #> 73 901 9 1 3 2 #> 74 902 9 2 2 2 #> 75 903 9 3 1 1 #> 76 904 9 4 3 1 #> 77 905 9 5 3 3 #> 78 906 9 6 2 1 #> 79 907 9 7 1 2 #> 80 908 9 8 2 3 #> 81 909 9 9 1 3