Example 1: Randomized Complete Block Design (RCBD)
##
## RCBD> # Example 1: Generates a RCBD design with 3 blocks and 20 treatments across 3 locations.
## RCBD> rcbd1 <- RCBD(t = LETTERS[1:20], reps = 5, l = 3,
## RCBD+ plotNumber = c(101,1001, 2001),
## RCBD+ continuous = TRUE,
## RCBD+ planter = "serpentine",
## RCBD+ seed = 1020,
## RCBD+ locationNames = c("FARGO", "MINOT", "CASSELTON"))
##
## RCBD> rcbd1$infoDesign
## $blocks
## [1] 5
##
## $number.of.treatments
## [1] 20
##
## $treatments
## [1] "A" "B" "C" "D" "E" "F" "G" "H" "I" "J" "K" "L" "M" "N" "O" "P" "Q" "R" "S"
## [20] "T"
##
## $locations
## [1] 3
##
## $plotNumber
## [1] 101 201 301 401 501 1001 1101 1201 1301 1401 2001 2101 2201 2301 2401
##
## $locationNames
## [1] "FARGO" "MINOT" "CASSELTON"
##
## $seed
## [1] 1020
##
## $id_design
## [1] 2
##
##
## RCBD> rcbd1$layoutRandom
## $Loc_FARGO
## Block --Treatments--
## [1,] "1" "P R L T E A J O M C K F I Q G D S H N B"
## [2,] "2" "Q H G M F D L P E B J N A I K C T R O S"
## [3,] "3" "R B G K H E S C F D I T P N Q M A O J L"
## [4,] "4" "M I T B N G O J Q C A L P E S R D K H F"
## [5,] "5" "M C Q O E H I A P S R L J G F B T D K N"
##
## $Loc_MINOT
## Block --Treatments--
## [1,] "1" "F O C A G D L B I S P T H K M E N R Q J"
## [2,] "2" "Q H K A G D E M N O C S J I T L P F B R"
## [3,] "3" "B K D L O E A R F S I P G T C Q J N M H"
## [4,] "4" "C P L O B K E H Q G N A T R J F S M D I"
## [5,] "5" "G S D B H L Q K A P E J T R I C O F M N"
##
## $Loc_CASSELTON
## Block --Treatments--
## [1,] "1" "P G T E L O K H D N S C M I A J Q R B F"
## [2,] "2" "C D L F A T I G S O B J M E R P H N Q K"
## [3,] "3" "C G K N B A L Q I F D H J M O P S T E R"
## [4,] "4" "E L H D F J A T S N B G Q M I O P C K R"
## [5,] "5" "T I M A H K E C Q L D J R B G S N O F P"
##
##
## RCBD> rcbd1$plotNumber
## $Loc_FARGO
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14]
## [1,] 101 102 103 104 105 106 107 108 109 110 111 112 113 114
## [2,] 140 139 138 137 136 135 134 133 132 131 130 129 128 127
## [3,] 141 142 143 144 145 146 147 148 149 150 151 152 153 154
## [4,] 180 179 178 177 176 175 174 173 172 171 170 169 168 167
## [5,] 181 182 183 184 185 186 187 188 189 190 191 192 193 194
## [,15] [,16] [,17] [,18] [,19] [,20]
## [1,] 115 116 117 118 119 120
## [2,] 126 125 124 123 122 121
## [3,] 155 156 157 158 159 160
## [4,] 166 165 164 163 162 161
## [5,] 195 196 197 198 199 200
##
## $Loc_MINOT
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14]
## [1,] 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014
## [2,] 1040 1039 1038 1037 1036 1035 1034 1033 1032 1031 1030 1029 1028 1027
## [3,] 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054
## [4,] 1080 1079 1078 1077 1076 1075 1074 1073 1072 1071 1070 1069 1068 1067
## [5,] 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094
## [,15] [,16] [,17] [,18] [,19] [,20]
## [1,] 1015 1016 1017 1018 1019 1020
## [2,] 1026 1025 1024 1023 1022 1021
## [3,] 1055 1056 1057 1058 1059 1060
## [4,] 1066 1065 1064 1063 1062 1061
## [5,] 1095 1096 1097 1098 1099 1100
##
## $Loc_CASSELTON
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14]
## [1,] 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
## [2,] 2040 2039 2038 2037 2036 2035 2034 2033 2032 2031 2030 2029 2028 2027
## [3,] 2041 2042 2043 2044 2045 2046 2047 2048 2049 2050 2051 2052 2053 2054
## [4,] 2080 2079 2078 2077 2076 2075 2074 2073 2072 2071 2070 2069 2068 2067
## [5,] 2081 2082 2083 2084 2085 2086 2087 2088 2089 2090 2091 2092 2093 2094
## [,15] [,16] [,17] [,18] [,19] [,20]
## [1,] 2015 2016 2017 2018 2019 2020
## [2,] 2026 2025 2024 2023 2022 2021
## [3,] 2055 2056 2057 2058 2059 2060
## [4,] 2066 2065 2064 2063 2062 2061
## [5,] 2095 2096 2097 2098 2099 2100
##
##
## RCBD> head(rcbd1$fieldBook)
## ID LOCATION PLOT REP TREATMENT
## 1 1 FARGO 101 1 P
## 2 2 FARGO 102 1 R
## 3 3 FARGO 103 1 L
## 4 4 FARGO 104 1 T
## 5 5 FARGO 105 1 E
## 6 6 FARGO 106 1 A
##
## RCBD> # Example 2: Generates a RCBD design with 6 blocks and 18 treatments in one location.
## RCBD> # In this case, we show how to use the option data.
## RCBD> treatments <- paste("ND-", 1:18, sep = "")
##
## RCBD> treatment_list <- data.frame(list(TREATMENT = treatments))
##
## RCBD> head(treatment_list)
## TREATMENT
## 1 ND-1
## 2 ND-2
## 3 ND-3
## 4 ND-4
## 5 ND-5
## 6 ND-6
##
## RCBD> rcbd2 <- RCBD(reps = 6, l = 1,
## RCBD+ plotNumber = 101,
## RCBD+ continuous = FALSE,
## RCBD+ planter = "serpentine",
## RCBD+ seed = 13,
## RCBD+ locationNames = "IBAGUE",
## RCBD+ data = treatment_list)
##
## RCBD> rcbd2$infoDesign
## $blocks
## [1] 6
##
## $number.of.treatments
## [1] 18
##
## $treatments
## [1] "ND-1" "ND-2" "ND-3" "ND-4" "ND-5" "ND-6" "ND-7" "ND-8" "ND-9"
## [10] "ND-10" "ND-11" "ND-12" "ND-13" "ND-14" "ND-15" "ND-16" "ND-17" "ND-18"
##
## $locations
## [1] 1
##
## $plotNumber
## [1] 101 201 301 401 501 601
##
## $locationNames
## [1] "IBAGUE"
##
## $seed
## [1] 13
##
## $id_design
## [1] 2
##
##
## RCBD> rcbd2$layoutRandom
## $Loc_IBAGUE
## Block
## [1,] "1"
## [2,] "2"
## [3,] "3"
## [4,] "4"
## [5,] "5"
## [6,] "6"
## --Treatments--
## [1,] "ND-3 ND-5 ND-10 ND-13 ND-6 ND-14 ND-4 ND-8 ND-18 ND-1 ND-11 ND-2 ND-17 ND-12 ND-9 ND-7 ND-16 ND-15"
## [2,] "ND-15 ND-17 ND-12 ND-1 ND-11 ND-4 ND-8 ND-7 ND-5 ND-3 ND-14 ND-9 ND-10 ND-13 ND-2 ND-6 ND-18 ND-16"
## [3,] "ND-17 ND-12 ND-8 ND-14 ND-10 ND-6 ND-7 ND-18 ND-2 ND-1 ND-13 ND-9 ND-11 ND-15 ND-16 ND-3 ND-4 ND-5"
## [4,] "ND-14 ND-13 ND-16 ND-1 ND-8 ND-9 ND-15 ND-6 ND-7 ND-12 ND-10 ND-18 ND-11 ND-4 ND-3 ND-5 ND-2 ND-17"
## [5,] "ND-14 ND-11 ND-9 ND-4 ND-1 ND-16 ND-3 ND-8 ND-5 ND-7 ND-10 ND-18 ND-12 ND-6 ND-2 ND-15 ND-13 ND-17"
## [6,] "ND-3 ND-5 ND-17 ND-9 ND-6 ND-18 ND-1 ND-14 ND-12 ND-8 ND-4 ND-11 ND-15 ND-2 ND-10 ND-16 ND-13 ND-7"
##
##
## RCBD> rcbd2$plotNumber
## $Loc_IBAGUE
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14]
## [1,] 101 102 103 104 105 106 107 108 109 110 111 112 113 114
## [2,] 218 217 216 215 214 213 212 211 210 209 208 207 206 205
## [3,] 301 302 303 304 305 306 307 308 309 310 311 312 313 314
## [4,] 418 417 416 415 414 413 412 411 410 409 408 407 406 405
## [5,] 501 502 503 504 505 506 507 508 509 510 511 512 513 514
## [6,] 618 617 616 615 614 613 612 611 610 609 608 607 606 605
## [,15] [,16] [,17] [,18]
## [1,] 115 116 117 118
## [2,] 204 203 202 201
## [3,] 315 316 317 318
## [4,] 404 403 402 401
## [5,] 515 516 517 518
## [6,] 604 603 602 601
##
##
## RCBD> head(rcbd2$fieldBook)
## ID LOCATION PLOT REP TREATMENT
## 1 1 IBAGUE 101 1 ND-3
## 2 2 IBAGUE 102 1 ND-5
## 3 3 IBAGUE 103 1 ND-10
## 4 4 IBAGUE 104 1 ND-13
## 5 5 IBAGUE 105 1 ND-6
## 6 6 IBAGUE 106 1 ND-14
p <- full_control_positions(plt$field_book, "COLUMN", "ROW", factor_name = "TREATMENT", label = "TREATMENT")## ID LOCATION PLOT ROW COLUMN REP TREATMENT
## 1 1 IBAGUE 101 1 1 1 ND-3
## 2 2 IBAGUE 102 1 2 1 ND-5
## 3 3 IBAGUE 103 1 3 1 ND-10
## 4 4 IBAGUE 104 1 4 1 ND-13
## 5 5 IBAGUE 105 1 5 1 ND-6
## 6 6 IBAGUE 106 1 6 1 ND-14
## 7 7 IBAGUE 112 2 1 1 ND-4
## 8 8 IBAGUE 111 2 2 1 ND-8
## 9 9 IBAGUE 110 2 3 1 ND-18
## 10 10 IBAGUE 109 2 4 1 ND-1
## 11 11 IBAGUE 108 2 5 1 ND-11
## 12 12 IBAGUE 107 2 6 1 ND-2
## 13 13 IBAGUE 113 3 1 1 ND-17
## 14 14 IBAGUE 114 3 2 1 ND-12
## 15 15 IBAGUE 115 3 3 1 ND-9
## 16 16 IBAGUE 116 3 4 1 ND-7
## 17 17 IBAGUE 117 3 5 1 ND-16
## 18 18 IBAGUE 118 3 6 1 ND-15
## 19 19 IBAGUE 206 4 1 2 ND-16
## 20 20 IBAGUE 205 4 2 2 ND-18
## 21 21 IBAGUE 204 4 3 2 ND-6
## 22 22 IBAGUE 203 4 4 2 ND-2
## 23 23 IBAGUE 202 4 5 2 ND-13
## 24 24 IBAGUE 201 4 6 2 ND-10
## 25 25 IBAGUE 207 5 1 2 ND-9
## 26 26 IBAGUE 208 5 2 2 ND-14
## 27 27 IBAGUE 209 5 3 2 ND-3
## 28 28 IBAGUE 210 5 4 2 ND-5
## 29 29 IBAGUE 211 5 5 2 ND-7
## 30 30 IBAGUE 212 5 6 2 ND-8
## 31 31 IBAGUE 218 6 1 2 ND-4
## 32 32 IBAGUE 217 6 2 2 ND-11
## 33 33 IBAGUE 216 6 3 2 ND-1
## 34 34 IBAGUE 215 6 4 2 ND-12
## 35 35 IBAGUE 214 6 5 2 ND-17
## 36 36 IBAGUE 213 6 6 2 ND-15
## 37 37 IBAGUE 301 7 1 3 ND-17
## 38 38 IBAGUE 302 7 2 3 ND-12
## 39 39 IBAGUE 303 7 3 3 ND-8
## 40 40 IBAGUE 304 7 4 3 ND-14
## 41 41 IBAGUE 305 7 5 3 ND-10
## 42 42 IBAGUE 306 7 6 3 ND-6
## 43 43 IBAGUE 312 8 1 3 ND-7
## 44 44 IBAGUE 311 8 2 3 ND-18
## 45 45 IBAGUE 310 8 3 3 ND-2
## 46 46 IBAGUE 309 8 4 3 ND-1
## 47 47 IBAGUE 308 8 5 3 ND-13
## 48 48 IBAGUE 307 8 6 3 ND-9
## 49 49 IBAGUE 313 9 1 3 ND-11
## 50 50 IBAGUE 314 9 2 3 ND-15
## 51 51 IBAGUE 315 9 3 3 ND-16
## 52 52 IBAGUE 316 9 4 3 ND-3
## 53 53 IBAGUE 317 9 5 3 ND-4
## 54 54 IBAGUE 318 9 6 3 ND-5
## 55 55 IBAGUE 406 10 1 4 ND-17
## 56 56 IBAGUE 405 10 2 4 ND-2
## 57 57 IBAGUE 404 10 3 4 ND-5
## 58 58 IBAGUE 403 10 4 4 ND-3
## 59 59 IBAGUE 402 10 5 4 ND-4
## 60 60 IBAGUE 401 10 6 4 ND-11
## 61 61 IBAGUE 407 11 1 4 ND-18
## 62 62 IBAGUE 408 11 2 4 ND-10
## 63 63 IBAGUE 409 11 3 4 ND-12
## 64 64 IBAGUE 410 11 4 4 ND-7
## 65 65 IBAGUE 411 11 5 4 ND-6
## 66 66 IBAGUE 412 11 6 4 ND-15
## 67 67 IBAGUE 418 12 1 4 ND-9
## 68 68 IBAGUE 417 12 2 4 ND-8
## 69 69 IBAGUE 416 12 3 4 ND-1
## 70 70 IBAGUE 415 12 4 4 ND-16
## 71 71 IBAGUE 414 12 5 4 ND-13
## 72 72 IBAGUE 413 12 6 4 ND-14
## 73 73 IBAGUE 501 13 1 5 ND-14
## 74 74 IBAGUE 502 13 2 5 ND-11
## 75 75 IBAGUE 503 13 3 5 ND-9
## 76 76 IBAGUE 504 13 4 5 ND-4
## 77 77 IBAGUE 505 13 5 5 ND-1
## 78 78 IBAGUE 506 13 6 5 ND-16
## 79 79 IBAGUE 512 14 1 5 ND-3
## 80 80 IBAGUE 511 14 2 5 ND-8
## 81 81 IBAGUE 510 14 3 5 ND-5
## 82 82 IBAGUE 509 14 4 5 ND-7
## 83 83 IBAGUE 508 14 5 5 ND-10
## 84 84 IBAGUE 507 14 6 5 ND-18
## 85 85 IBAGUE 513 15 1 5 ND-12
## 86 86 IBAGUE 514 15 2 5 ND-6
## 87 87 IBAGUE 515 15 3 5 ND-2
## 88 88 IBAGUE 516 15 4 5 ND-15
## 89 89 IBAGUE 517 15 5 5 ND-13
## 90 90 IBAGUE 518 15 6 5 ND-17
## 91 91 IBAGUE 606 16 1 6 ND-7
## 92 92 IBAGUE 605 16 2 6 ND-13
## 93 93 IBAGUE 604 16 3 6 ND-16
## 94 94 IBAGUE 603 16 4 6 ND-10
## 95 95 IBAGUE 602 16 5 6 ND-2
## 96 96 IBAGUE 601 16 6 6 ND-15
## 97 97 IBAGUE 607 17 1 6 ND-11
## 98 98 IBAGUE 608 17 2 6 ND-4
## 99 99 IBAGUE 609 17 3 6 ND-8
## 100 100 IBAGUE 610 17 4 6 ND-12
## 101 101 IBAGUE 611 17 5 6 ND-14
## 102 102 IBAGUE 612 17 6 6 ND-1
## 103 103 IBAGUE 618 18 1 6 ND-18
## 104 104 IBAGUE 617 18 2 6 ND-6
## 105 105 IBAGUE 616 18 3 6 ND-9
## 106 106 IBAGUE 615 18 4 6 ND-17
## 107 107 IBAGUE 614 18 5 6 ND-5
## 108 108 IBAGUE 613 18 6 6 ND-3
# Example 2: Latin Square Design
latinSq1 <- latin_square(t = 4, reps = 2, plotNumber = 101, planter = "cartesian", seed = 1980)
plt <- plot(latinSq1)
p <- full_control_positions(plt$field_book, "COLUMN", "ROW", factor_name = "TREATMENT", label = "TREATMENT")## ID LOCATION PLOT ROW COLUMN SQUARE ROW_SQ COLUMN_SQ TREATMENT
## 1 1 1 101 1 1 1 Row 1 Column 1 T1
## 2 2 1 102 1 2 1 Row 1 Column 2 T4
## 3 3 1 103 1 3 1 Row 1 Column 3 T2
## 4 4 1 104 1 4 1 Row 1 Column 4 T3
## 5 5 1 108 2 1 1 Row 2 Column 1 T3
## 6 6 1 107 2 2 1 Row 2 Column 2 T1
## 7 7 1 106 2 3 1 Row 2 Column 3 T4
## 8 8 1 105 2 4 1 Row 2 Column 4 T2
## 9 9 1 109 3 1 1 Row 3 Column 1 T4
## 10 10 1 110 3 2 1 Row 3 Column 2 T2
## 11 11 1 111 3 3 1 Row 3 Column 3 T3
## 12 12 1 112 3 4 1 Row 3 Column 4 T1
## 13 13 1 116 4 1 1 Row 4 Column 1 T2
## 14 14 1 115 4 2 1 Row 4 Column 2 T3
## 15 15 1 114 4 3 1 Row 4 Column 3 T1
## 16 16 1 113 4 4 1 Row 4 Column 4 T4
## 17 17 1 201 5 1 2 Row 1 Column 1 T1
## 18 18 1 202 5 2 2 Row 1 Column 2 T3
## 19 19 1 203 5 3 2 Row 1 Column 3 T4
## 20 20 1 204 5 4 2 Row 1 Column 4 T2
## 21 21 1 208 6 1 2 Row 2 Column 1 T2
## 22 22 1 207 6 2 2 Row 2 Column 2 T4
## 23 23 1 206 6 3 2 Row 2 Column 3 T3
## 24 24 1 205 6 4 2 Row 2 Column 4 T1
## 25 25 1 209 7 1 2 Row 3 Column 1 T4
## 26 26 1 210 7 2 2 Row 3 Column 2 T1
## 27 27 1 211 7 3 2 Row 3 Column 3 T2
## 28 28 1 212 7 4 2 Row 3 Column 4 T3
## 29 29 1 216 8 1 2 Row 4 Column 1 T3
## 30 30 1 215 8 2 2 Row 4 Column 2 T2
## 31 31 1 214 8 3 2 Row 4 Column 3 T1
## 32 32 1 213 8 4 2 Row 4 Column 4 T4
# Example 3: Full Factorial Design
##
## fll_fc> # Example 1: Generates a full factorial with 3 factors each with 2 levels.
## fll_fc> # This in an RCBD arrangement with 3 reps.
## fll_fc> fullFact1 <- full_factorial(setfactors = c(2,2,2), reps = 3, l = 1, type = 2,
## fll_fc+ plotNumber = 101,
## fll_fc+ continuous = TRUE,
## fll_fc+ planter = "serpentine",
## fll_fc+ seed = 325,
## fll_fc+ locationNames = "FARGO")
##
## fll_fc> fullFact1$infoDesign
## $factors
## [1] "A" "B" "C"
##
## $levels
## [1] 0 1 0 1 0 1
##
## $runs
## [1] 8
##
## $all_treatments
## A B C
## 1 0 0 0
## 2 1 0 0
## 3 0 1 0
## 4 1 1 0
## 5 0 0 1
## 6 1 0 1
## 7 0 1 1
## 8 1 1 1
##
## $reps
## [1] 3
##
## $locations
## [1] 1
##
## $location_names
## [1] "FARGO"
##
## $kind
## [1] "RCBD"
##
## $levels_each_factor
## [1] 2 2 2
##
## $id_design
## [1] 4
##
##
## fll_fc> head(fullFact1$fieldBook,10)
## ID LOCATION PLOT REP FACTOR_A FACTOR_B FACTOR_C TRT_COMB
## 1 1 FARGO 101 1 0 1 1 0*1*1
## 2 2 FARGO 102 1 1 1 1 1*1*1
## 3 3 FARGO 103 1 1 0 0 1*0*0
## 4 4 FARGO 104 1 0 1 0 0*1*0
## 5 5 FARGO 105 1 1 1 0 1*1*0
## 6 6 FARGO 106 1 1 0 1 1*0*1
## 7 7 FARGO 107 1 0 0 0 0*0*0
## 8 8 FARGO 108 1 0 0 1 0*0*1
## 16 9 FARGO 109 2 1 1 0 1*1*0
## 15 10 FARGO 110 2 0 0 0 0*0*0
##
## fll_fc> # Example 2: Generates a full factorial with 3 factors and each with levels: 2,3,
## fll_fc> # and 2, respectively. In this case, we show how to use the option data
## fll_fc> FACTORS <- rep(c("A", "B", "C"), c(2,3,2))
##
## fll_fc> LEVELS <- c("a0", "a1", "b0", "b1", "b2", "c0", "c1")
##
## fll_fc> data_factorial <- data.frame(list(FACTOR = FACTORS, LEVEL = LEVELS))
##
## fll_fc> print(data_factorial)
## FACTOR LEVEL
## 1 A a0
## 2 A a1
## 3 B b0
## 4 B b1
## 5 B b2
## 6 C c0
## 7 C c1
##
## fll_fc> # This in an RCBD arrangement with 5 reps in 3 locations.
## fll_fc> fullFact2 <- full_factorial(setfactors = NULL, reps = 5, l = 3, type = 2,
## fll_fc+ plotNumber = c(101,1001,2001),
## fll_fc+ continuous = FALSE,
## fll_fc+ planter = "serpentine",
## fll_fc+ seed = 326,
## fll_fc+ locationNames = c("Loc1","Loc2","Loc3"),
## fll_fc+ data = data_factorial)
##
## fll_fc> fullFact2$infoDesign
## $factors
## [1] "A" "B" "C"
##
## $levels
## $levels[[1]]
## [1] "a0" "a1"
##
## $levels[[2]]
## [1] "b0" "b1" "b2"
##
## $levels[[3]]
## [1] "c0" "c1"
##
##
## $runs
## [1] 12
##
## $all_treatments
## A B C
## 1 a0 b0 c0
## 2 a1 b0 c0
## 3 a0 b1 c0
## 4 a1 b1 c0
## 5 a0 b2 c0
## 6 a1 b2 c0
## 7 a0 b0 c1
## 8 a1 b0 c1
## 9 a0 b1 c1
## 10 a1 b1 c1
## 11 a0 b2 c1
## 12 a1 b2 c1
##
## $reps
## [1] 5
##
## $locations
## [1] 3
##
## $location_names
## [1] "Loc1" "Loc2" "Loc3"
##
## $kind
## [1] "RCBD"
##
## $levels_each_factor
## [1] 2 3 2
##
## $id_design
## [1] 4
##
##
## fll_fc> head(fullFact2$fieldBook,10)
## ID LOCATION PLOT REP FACTOR_A FACTOR_B FACTOR_C TRT_COMB
## 1 1 Loc1 101 1 a0 b1 c0 a0*b1*c0
## 2 2 Loc1 102 1 a1 b0 c1 a1*b0*c1
## 3 3 Loc1 103 1 a1 b2 c1 a1*b2*c1
## 4 4 Loc1 104 1 a0 b1 c1 a0*b1*c1
## 5 5 Loc1 105 1 a1 b0 c0 a1*b0*c0
## 6 6 Loc1 106 1 a0 b0 c1 a0*b0*c1
## 7 7 Loc1 107 1 a1 b1 c0 a1*b1*c0
## 8 8 Loc1 108 1 a0 b2 c1 a0*b2*c1
## 9 9 Loc1 109 1 a1 b1 c1 a1*b1*c1
## 10 10 Loc1 110 1 a0 b0 c0 a0*b0*c0
p <- full_control_positions(plt$field_book[plt$field_book$LOCATION == "Loc1",], "COLUMN", "ROW", factor_name = "FACTOR_A", label = "FACTOR_A")## ID LOCATION PLOT ROW COLUMN REP FACTOR_A FACTOR_B FACTOR_C TRT_COMB
## 1 1 Loc1 101 1 1 1 a0 b1 c0 a0*b1*c0
## 2 2 Loc1 102 1 2 1 a1 b0 c1 a1*b0*c1
## 3 3 Loc1 103 1 3 1 a1 b2 c1 a1*b2*c1
## 4 4 Loc1 104 1 4 1 a0 b1 c1 a0*b1*c1
## 5 5 Loc1 108 2 1 1 a1 b0 c0 a1*b0*c0
## 6 6 Loc1 107 2 2 1 a0 b0 c1 a0*b0*c1
## 7 7 Loc1 106 2 3 1 a1 b1 c0 a1*b1*c0
## 8 8 Loc1 105 2 4 1 a0 b2 c1 a0*b2*c1
## 9 9 Loc1 109 3 1 1 a1 b1 c1 a1*b1*c1
## 10 10 Loc1 110 3 2 1 a0 b0 c0 a0*b0*c0
## 11 11 Loc1 111 3 3 1 a1 b2 c0 a1*b2*c0
## 12 12 Loc1 112 3 4 1 a0 b2 c0 a0*b2*c0
## 24 13 Loc1 204 4 1 2 a0 b2 c1 a0*b2*c1
## 23 14 Loc1 203 4 2 2 a0 b2 c0 a0*b2*c0
## 22 15 Loc1 202 4 3 2 a1 b0 c1 a1*b0*c1
## 21 16 Loc1 201 4 4 2 a0 b0 c1 a0*b0*c1
## 20 17 Loc1 205 5 1 2 a1 b2 c1 a1*b2*c1
## 19 18 Loc1 206 5 2 2 a1 b2 c0 a1*b2*c0
## 18 19 Loc1 207 5 3 2 a0 b0 c0 a0*b0*c0
## 17 20 Loc1 208 5 4 2 a0 b1 c0 a0*b1*c0
## 16 21 Loc1 212 6 1 2 a1 b0 c0 a1*b0*c0
## 15 22 Loc1 211 6 2 2 a1 b1 c0 a1*b1*c0
## 14 23 Loc1 210 6 3 2 a0 b1 c1 a0*b1*c1
## 13 24 Loc1 209 6 4 2 a1 b1 c1 a1*b1*c1
## 25 25 Loc1 301 7 1 3 a1 b2 c1 a1*b2*c1
## 26 26 Loc1 302 7 2 3 a0 b1 c1 a0*b1*c1
## 27 27 Loc1 303 7 3 3 a1 b0 c1 a1*b0*c1
## 28 28 Loc1 304 7 4 3 a0 b2 c0 a0*b2*c0
## 29 29 Loc1 308 8 1 3 a1 b1 c1 a1*b1*c1
## 30 30 Loc1 307 8 2 3 a0 b2 c1 a0*b2*c1
## 31 31 Loc1 306 8 3 3 a0 b0 c1 a0*b0*c1
## 32 32 Loc1 305 8 4 3 a0 b0 c0 a0*b0*c0
## 33 33 Loc1 309 9 1 3 a0 b1 c0 a0*b1*c0
## 34 34 Loc1 310 9 2 3 a1 b0 c0 a1*b0*c0
## 35 35 Loc1 311 9 3 3 a1 b2 c0 a1*b2*c0
## 36 36 Loc1 312 9 4 3 a1 b1 c0 a1*b1*c0
## 48 37 Loc1 404 10 1 4 a0 b1 c0 a0*b1*c0
## 47 38 Loc1 403 10 2 4 a0 b0 c1 a0*b0*c1
## 46 39 Loc1 402 10 3 4 a0 b0 c0 a0*b0*c0
## 45 40 Loc1 401 10 4 4 a1 b1 c0 a1*b1*c0
## 44 41 Loc1 405 11 1 4 a0 b2 c0 a0*b2*c0
## 43 42 Loc1 406 11 2 4 a1 b2 c1 a1*b2*c1
## 42 43 Loc1 407 11 3 4 a1 b1 c1 a1*b1*c1
## 41 44 Loc1 408 11 4 4 a1 b2 c0 a1*b2*c0
## 40 45 Loc1 412 12 1 4 a0 b2 c1 a0*b2*c1
## 39 46 Loc1 411 12 2 4 a0 b1 c1 a0*b1*c1
## 38 47 Loc1 410 12 3 4 a1 b0 c1 a1*b0*c1
## 37 48 Loc1 409 12 4 4 a1 b0 c0 a1*b0*c0
## 49 49 Loc1 501 13 1 5 a0 b0 c0 a0*b0*c0
## 50 50 Loc1 502 13 2 5 a0 b2 c0 a0*b2*c0
## 51 51 Loc1 503 13 3 5 a1 b0 c0 a1*b0*c0
## 52 52 Loc1 504 13 4 5 a1 b2 c0 a1*b2*c0
## 53 53 Loc1 508 14 1 5 a1 b1 c1 a1*b1*c1
## 54 54 Loc1 507 14 2 5 a0 b0 c1 a0*b0*c1
## 55 55 Loc1 506 14 3 5 a0 b1 c0 a0*b1*c0
## 56 56 Loc1 505 14 4 5 a1 b1 c0 a1*b1*c0
## 57 57 Loc1 509 15 1 5 a0 b1 c1 a0*b1*c1
## 58 58 Loc1 510 15 2 5 a0 b2 c1 a0*b2*c1
## 59 59 Loc1 511 15 3 5 a1 b0 c1 a1*b0*c1
## 60 60 Loc1 512 15 4 5 a1 b2 c1 a1*b2*c1
# Example 4: Incomplete Blocks Design
##
## incmp_> # Example 1: Generates a resolvable IBD of characteristics (t,k,r) = (12,4,2).
## incmp_> # 1-resolvable IBDs
## incmp_> ibd1 <- incomplete_blocks(t = 12,
## incmp_+ k = 4,
## incmp_+ r = 2,
## incmp_+ seed = 1984)
##
## incmp_> ibd1$infoDesign
## $Reps
## [1] 2
##
## $iBlocks
## [1] 3
##
## $NumberTreatments
## [1] 12
##
## $NumberLocations
## [1] 1
##
## $Locations
## [1] 1
##
## $seed
## [1] 1984
##
## $lambda
## [1] 0.5454545
##
## $id_design
## [1] 8
##
##
## incmp_> head(ibd1$fieldBook)
## ID LOCATION PLOT REP IBLOCK UNIT ENTRY TREATMENT
## 1 1 1 101 1 1 1 8 G-8
## 2 2 1 102 1 1 2 9 G-9
## 3 3 1 103 1 1 3 12 G-12
## 4 4 1 104 1 1 4 1 G-1
## 5 5 1 105 1 2 1 5 G-5
## 6 6 1 106 1 2 2 11 G-11
##
## incmp_> # Example 2: Generates a balanced resolvable IBD of characteristics (t,k,r) = (15,3,7).
## incmp_> # In this case, we show how to use the option data.
## incmp_> treatments <- paste("TX-", 1:15, sep = "")
##
## incmp_> ENTRY <- 1:15
##
## incmp_> treatment_list <- data.frame(list(ENTRY = ENTRY, TREATMENT = treatments))
##
## incmp_> head(treatment_list)
## ENTRY TREATMENT
## 1 1 TX-1
## 2 2 TX-2
## 3 3 TX-3
## 4 4 TX-4
## 5 5 TX-5
## 6 6 TX-6
##
## incmp_> ibd2 <- incomplete_blocks(t = 15,
## incmp_+ k = 3,
## incmp_+ r = 7,
## incmp_+ seed = 1985,
## incmp_+ data = treatment_list)
##
## incmp_> ibd2$infoDesign
## $Reps
## [1] 7
##
## $iBlocks
## [1] 5
##
## $NumberTreatments
## [1] 15
##
## $NumberLocations
## [1] 1
##
## $Locations
## [1] 1
##
## $seed
## [1] 1985
##
## $lambda
## [1] 1
##
## $id_design
## [1] 8
##
##
## incmp_> head(ibd2$fieldBook)
## ID LOCATION PLOT REP IBLOCK UNIT ENTRY TREATMENT
## 1 1 1 101 1 1 1 8 TX-8
## 2 2 1 102 1 1 2 11 TX-11
## 3 3 1 103 1 1 3 2 TX-2
## 4 4 1 104 1 2 1 4 TX-4
## 5 5 1 105 1 2 2 14 TX-14
## 6 6 1 106 1 2 3 13 TX-13
p <- full_control_positions(plt$field_book, "COLUMN", "ROW", factor_name = "TREATMENT", label = "TREATMENT")## ID LOCATION PLOT ROW COLUMN REP IBLOCK UNIT ENTRY TREATMENT
## 1 1 1 101 1 1 1 1 1 8 TX-8
## 2 4 1 102 1 2 1 2 1 4 TX-4
## 3 7 1 103 1 3 1 3 1 3 TX-3
## 4 10 1 104 1 4 1 4 1 12 TX-12
## 5 13 1 105 1 5 1 5 1 1 TX-1
## 6 2 1 110 2 1 1 1 2 11 TX-11
## 7 5 1 109 2 2 1 2 2 14 TX-14
## 8 8 1 108 2 3 1 3 2 6 TX-6
## 9 11 1 107 2 4 1 4 2 10 TX-10
## 10 14 1 106 2 5 1 5 2 7 TX-7
## 11 3 1 111 3 1 1 1 3 2 TX-2
## 12 6 1 112 3 2 1 2 3 13 TX-13
## 13 9 1 113 3 3 1 3 3 15 TX-15
## 14 12 1 114 3 4 1 4 3 9 TX-9
## 15 15 1 115 3 5 1 5 3 5 TX-5
## 16 16 1 205 4 1 2 1 1 4 TX-4
## 17 19 1 204 4 2 2 2 1 15 TX-15
## 18 22 1 203 4 3 2 3 1 5 TX-5
## 19 25 1 202 4 4 2 4 1 9 TX-9
## 20 28 1 201 4 5 2 5 1 14 TX-14
## 21 17 1 206 5 1 2 1 2 7 TX-7
## 22 20 1 207 5 2 2 2 2 2 TX-2
## 23 23 1 208 5 3 2 3 2 8 TX-8
## 24 26 1 209 5 4 2 4 2 3 TX-3
## 25 29 1 210 5 5 2 5 2 10 TX-10
## 26 18 1 215 6 1 2 1 3 12 TX-12
## 27 21 1 214 6 2 2 2 3 13 TX-13
## 28 24 1 213 6 3 2 3 3 6 TX-6
## 29 27 1 212 6 4 2 4 3 11 TX-11
## 30 30 1 211 6 5 2 5 3 1 TX-1
## 31 31 1 301 7 1 3 1 1 6 TX-6
## 32 34 1 302 7 2 3 2 1 10 TX-10
## 33 37 1 303 7 3 3 3 1 8 TX-8
## 34 40 1 304 7 4 3 4 1 1 TX-1
## 35 43 1 305 7 5 3 5 1 4 TX-4
## 36 32 1 310 8 1 3 1 2 7 TX-7
## 37 35 1 309 8 2 3 2 2 3 TX-3
## 38 38 1 308 8 3 3 3 2 13 TX-13
## 39 41 1 307 8 4 3 4 2 11 TX-11
## 40 44 1 306 8 5 3 5 2 14 TX-14
## 41 33 1 311 9 1 3 1 3 9 TX-9
## 42 36 1 312 9 2 3 2 3 5 TX-5
## 43 39 1 313 9 3 3 3 3 12 TX-12
## 44 42 1 314 9 4 3 4 3 15 TX-15
## 45 45 1 315 9 5 3 5 3 2 TX-2
## 46 46 1 405 10 1 4 1 1 1 TX-1
## 47 49 1 404 10 2 4 2 1 15 TX-15
## 48 52 1 403 10 3 4 3 1 14 TX-14
## 49 55 1 402 10 4 4 4 1 5 TX-5
## 50 58 1 401 10 5 4 5 1 13 TX-13
## 51 47 1 406 11 1 4 1 2 4 TX-4
## 52 50 1 407 11 2 4 2 2 8 TX-8
## 53 53 1 408 11 3 4 3 2 3 TX-3
## 54 56 1 409 11 4 4 4 2 9 TX-9
## 55 59 1 410 11 5 4 5 2 11 TX-11
## 56 48 1 415 12 1 4 1 3 6 TX-6
## 57 51 1 414 12 2 4 2 3 10 TX-10
## 58 54 1 413 12 3 4 3 3 12 TX-12
## 59 57 1 412 12 4 4 4 3 2 TX-2
## 60 60 1 411 12 5 4 5 3 7 TX-7
## 61 61 1 501 13 1 5 1 1 10 TX-10
## 62 64 1 502 13 2 5 2 1 7 TX-7
## 63 67 1 503 13 3 5 3 1 13 TX-13
## 64 70 1 504 13 4 5 4 1 14 TX-14
## 65 73 1 505 13 5 5 5 1 15 TX-15
## 66 62 1 510 14 1 5 1 2 11 TX-11
## 67 65 1 509 14 2 5 2 2 2 TX-2
## 68 68 1 508 14 3 5 3 2 1 TX-1
## 69 71 1 507 14 4 5 4 2 8 TX-8
## 70 74 1 506 14 5 5 5 2 5 TX-5
## 71 63 1 511 15 1 5 1 3 4 TX-4
## 72 66 1 512 15 2 5 2 3 6 TX-6
## 73 69 1 513 15 3 5 3 3 3 TX-3
## 74 72 1 514 15 4 5 4 3 9 TX-9
## 75 75 1 515 15 5 5 5 3 12 TX-12
## 76 76 1 605 16 1 6 1 1 13 TX-13
## 77 79 1 604 16 2 6 2 1 3 TX-3
## 78 82 1 603 16 3 6 3 1 4 TX-4
## 79 85 1 602 16 4 6 4 1 11 TX-11
## 80 88 1 601 16 5 6 5 1 14 TX-14
## 81 77 1 606 17 1 6 1 2 1 TX-1
## 82 80 1 607 17 2 6 2 2 10 TX-10
## 83 83 1 608 17 3 6 3 2 5 TX-5
## 84 86 1 609 17 4 6 4 2 6 TX-6
## 85 89 1 610 17 5 6 5 2 7 TX-7
## 86 78 1 615 18 1 6 1 3 9 TX-9
## 87 81 1 614 18 2 6 2 3 2 TX-2
## 88 84 1 613 18 3 6 3 3 8 TX-8
## 89 87 1 612 18 4 6 4 3 12 TX-12
## 90 90 1 611 18 5 6 5 3 15 TX-15
## 91 91 1 701 19 1 7 1 1 3 TX-3
## 92 94 1 702 19 2 7 2 1 1 TX-1
## 93 97 1 703 19 3 7 3 1 9 TX-9
## 94 100 1 704 19 4 7 4 1 5 TX-5
## 95 103 1 705 19 5 7 5 1 10 TX-10
## 96 92 1 710 20 1 7 1 2 8 TX-8
## 97 95 1 709 20 2 7 2 2 2 TX-2
## 98 98 1 708 20 3 7 3 2 15 TX-15
## 99 101 1 707 20 4 7 4 2 11 TX-11
## 100 104 1 706 20 5 7 5 2 13 TX-13
## 101 93 1 711 21 1 7 1 3 7 TX-7
## 102 96 1 712 21 2 7 2 3 12 TX-12
## 103 99 1 713 21 3 7 3 3 4 TX-4
## 104 102 1 714 21 4 7 4 3 14 TX-14
## 105 105 1 715 21 5 7 5 3 6 TX-6
# Example 5: Diagonal Arrangement Design
##
## dgnl_r> # Example 1: Generates a spatial single diagonal arrangement design in one location
## dgnl_r> # with 270 treatments and 30 check plots for a field with dimensions 15 rows x 20 cols
## dgnl_r> # in a serpentine arrangement.
## dgnl_r> spatd <- diagonal_arrangement(
## dgnl_r+ nrows = 15,
## dgnl_r+ ncols = 20,
## dgnl_r+ lines = 270,
## dgnl_r+ checks = 4,
## dgnl_r+ plotNumber = 101,
## dgnl_r+ kindExpt = "SUDC",
## dgnl_r+ planter = "serpentine",
## dgnl_r+ seed = 1987,
## dgnl_r+ exptName = "20WRY1",
## dgnl_r+ locationNames = "MINOT"
## dgnl_r+ )
##
## dgnl_r> spatd$infoDesign
## $rows
## [1] 15
##
## $columns
## [1] 20
##
## $treatments
## [1] 270
##
## $checks
## [1] 4
##
## $entry_checks
## $entry_checks[[1]]
## [1] 1 2 3 4
##
##
## $rep_checks
## $rep_checks[[1]]
## [1] 8 7 8 7
##
##
## $locations
## [1] 1
##
## $planter
## [1] "serpentine"
##
## $percent_checks
## [1] "10%"
##
## $fillers
## [1] 0
##
## $seed
## [1] 1987
##
## $id_design
## [1] 15
##
##
## dgnl_r> spatd$layoutRandom
## [[1]]
## Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 Col10 Col11 Col12 Col13
## Row15 164 3 153 11 221 179 151 139 58 22 266 2 129
## Row14 89 182 185 38 1 253 156 241 160 252 214 86 130
## Row13 15 148 82 213 44 194 269 2 265 169 48 245 210
## Row12 1 124 52 177 5 261 47 40 17 87 3 104 147
## Row11 100 127 136 4 19 65 158 46 18 229 157 274 59
## Row10 94 50 27 31 220 166 3 172 170 12 16 176 137
## Row9 205 212 115 142 110 208 224 216 222 2 246 42 251
## Row8 175 92 1 197 243 234 236 99 211 67 140 39 3
## Row7 75 76 8 122 200 1 264 25 138 199 107 120 131
## Row6 132 93 254 7 247 60 45 171 3 117 103 116 190
## Row5 181 2 70 79 85 133 203 134 184 273 34 1 174
## Row4 71 204 159 29 2 83 26 64 119 145 240 223 225
## Row3 144 231 80 255 43 187 112 4 168 98 32 41 96
## Row2 4 196 238 235 97 183 111 143 186 237 2 232 263
## Row1 55 108 248 4 250 217 123 249 126 28 23 118 20
## Col14 Col15 Col16 Col17 Col18 Col19 Col20
## Row15 33 109 154 88 30 53 95
## Row14 163 4 219 68 270 173 90
## Row13 244 125 149 226 1 54 56
## Row12 259 233 267 201 193 6 10
## Row11 2 114 21 77 272 72 24
## Row10 102 155 36 3 9 162 191
## Row9 218 106 228 258 167 84 1
## Row8 230 192 62 135 198 14 69
## Row7 161 81 3 165 189 268 57
## Row6 128 146 206 141 215 4 195
## Row5 61 202 51 242 73 63 207
## Row4 113 1 78 178 152 37 180
## Row3 101 74 66 239 4 105 256
## Row2 49 262 91 257 121 260 209
## Row1 3 13 150 188 35 227 271
##
##
## dgnl_r> spatd$plotsNumber
## [[1]]
## Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 Col10 Col11 Col12 Col13
## Row15 381 382 383 384 385 386 387 388 389 390 391 392 393
## Row14 380 379 378 377 376 375 374 373 372 371 370 369 368
## Row13 341 342 343 344 345 346 347 348 349 350 351 352 353
## Row12 340 339 338 337 336 335 334 333 332 331 330 329 328
## Row11 301 302 303 304 305 306 307 308 309 310 311 312 313
## Row10 300 299 298 297 296 295 294 293 292 291 290 289 288
## Row9 261 262 263 264 265 266 267 268 269 270 271 272 273
## Row8 260 259 258 257 256 255 254 253 252 251 250 249 248
## Row7 221 222 223 224 225 226 227 228 229 230 231 232 233
## Row6 220 219 218 217 216 215 214 213 212 211 210 209 208
## Row5 181 182 183 184 185 186 187 188 189 190 191 192 193
## Row4 180 179 178 177 176 175 174 173 172 171 170 169 168
## Row3 141 142 143 144 145 146 147 148 149 150 151 152 153
## Row2 140 139 138 137 136 135 134 133 132 131 130 129 128
## Row1 101 102 103 104 105 106 107 108 109 110 111 112 113
## Col14 Col15 Col16 Col17 Col18 Col19 Col20
## Row15 394 395 396 397 398 399 400
## Row14 367 366 365 364 363 362 361
## Row13 354 355 356 357 358 359 360
## Row12 327 326 325 324 323 322 321
## Row11 314 315 316 317 318 319 320
## Row10 287 286 285 284 283 282 281
## Row9 274 275 276 277 278 279 280
## Row8 247 246 245 244 243 242 241
## Row7 234 235 236 237 238 239 240
## Row6 207 206 205 204 203 202 201
## Row5 194 195 196 197 198 199 200
## Row4 167 166 165 164 163 162 161
## Row3 154 155 156 157 158 159 160
## Row2 127 126 125 124 123 122 121
## Row1 114 115 116 117 118 119 120
##
##
## dgnl_r> head(spatd$fieldBook, 12)
## ID EXPT LOCATION YEAR PLOT ROW COLUMN CHECKS ENTRY TREATMENT
## 1 1 20WRY1 MINOT 2024 101 1 1 0 55 Gen-55
## 2 2 20WRY1 MINOT 2024 102 1 2 0 108 Gen-108
## 3 3 20WRY1 MINOT 2024 103 1 3 0 248 Gen-248
## 4 4 20WRY1 MINOT 2024 104 1 4 4 4 Check-4
## 5 5 20WRY1 MINOT 2024 105 1 5 0 250 Gen-250
## 6 6 20WRY1 MINOT 2024 106 1 6 0 217 Gen-217
## 7 7 20WRY1 MINOT 2024 107 1 7 0 123 Gen-123
## 8 8 20WRY1 MINOT 2024 108 1 8 0 249 Gen-249
## 9 9 20WRY1 MINOT 2024 109 1 9 0 126 Gen-126
## 10 10 20WRY1 MINOT 2024 110 1 10 0 28 Gen-28
## 11 11 20WRY1 MINOT 2024 111 1 11 0 23 Gen-23
## 12 12 20WRY1 MINOT 2024 112 1 12 0 118 Gen-118
##
## dgnl_r> # Example 2: Generates a spatial decision block diagonal arrangement design in one location
## dgnl_r> # with 720 treatments allocated in 5 experiments or blocks for a field with dimensions
## dgnl_r> # 30 rows x 26 cols in a serpentine arrangement. In this case, we show how to set up the data
## dgnl_r> # option with the entries list.
## dgnl_r> checks <- 5;expts <- 5
##
## dgnl_r> list_checks <- paste("CH", 1:checks, sep = "")
##
## dgnl_r> treatments <- paste("G", 6:725, sep = "")
##
## dgnl_r> treatment_list <- data.frame(list(ENTRY = 1:725, NAME = c(list_checks, treatments)))
##
## dgnl_r> head(treatment_list, 12)
## ENTRY NAME
## 1 1 CH1
## 2 2 CH2
## 3 3 CH3
## 4 4 CH4
## 5 5 CH5
## 6 6 G6
## 7 7 G7
## 8 8 G8
## 9 9 G9
## 10 10 G10
## 11 11 G11
## 12 12 G12
##
## dgnl_r> tail(treatment_list, 12)
## ENTRY NAME
## 714 714 G714
## 715 715 G715
## 716 716 G716
## 717 717 G717
## 718 718 G718
## 719 719 G719
## 720 720 G720
## 721 721 G721
## 722 722 G722
## 723 723 G723
## 724 724 G724
## 725 725 G725
##
## dgnl_r> spatDB <- diagonal_arrangement(
## dgnl_r+ nrows = 30,
## dgnl_r+ ncols = 26,
## dgnl_r+ checks = 5,
## dgnl_r+ plotNumber = 1,
## dgnl_r+ kindExpt = "DBUDC",
## dgnl_r+ planter = "serpentine",
## dgnl_r+ splitBy = "row",
## dgnl_r+ blocks = c(150,155,95,200,120),
## dgnl_r+ data = treatment_list
## dgnl_r+ )
##
## dgnl_r> spatDB$infoDesign
## $rows
## [1] 30
##
## $columns
## [1] 26
##
## $treatments
## [1] 150 155 95 200 120
##
## $checks
## [1] 5
##
## $entry_checks
## $entry_checks[[1]]
## [1] 1 2 3 4 5
##
##
## $rep_checks
## $rep_checks[[1]]
## [1] 10 13 13 11 13
##
##
## $locations
## [1] 1
##
## $planter
## [1] "serpentine"
##
## $percent_checks
## [1] "7.7%"
##
## $fillers
## [1] 0
##
## $seed
## [1] 24210
##
## $id_design
## [1] 15
##
##
## dgnl_r> spatDB$layoutRandom
## [[1]]
## Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 Col10 Col11 Col12 Col13
## Row30 702 3 686 699 642 709 701 689 664 720 696 633 708
## Row29 722 649 616 627 716 4 673 639 711 641 680 688 710
## Row28 698 615 631 674 672 636 626 685 608 4 651 697 650
## Row27 5 679 629 677 606 621 692 662 694 725 663 669 666
## Row26 661 622 610 678 3 612 687 657 713 609 675 670 704
## Row25 566 576 522 514 491 575 433 598 4 432 473 567 454
## Row24 529 500 488 518 580 458 526 525 419 480 548 605 5
## Row23 508 410 602 3 471 588 470 498 492 474 437 472 558
## Row22 442 541 468 552 463 482 449 2 584 443 423 599 535
## Row21 446 475 589 467 537 422 542 416 572 435 411 3 487
## Row20 560 547 3 460 597 429 448 469 590 409 464 506 478
## Row19 600 530 550 504 520 521 1 461 536 556 486 509 519
## Row18 436 544 447 424 415 545 543 438 512 595 4 578 534
## Row17 334 5 340 361 396 345 365 342 384 373 390 392 316
## Row16 367 366 335 387 404 2 311 395 389 348 328 394 380
## Row15 397 320 356 351 314 327 339 403 383 5 377 319 374
## Row14 1 321 331 337 353 402 352 364 358 322 369 329 405
## Row13 209 256 242 296 5 201 272 237 310 279 158 243 274
## Row12 186 292 222 193 275 179 200 261 3 252 204 250 289
## Row11 221 168 176 301 297 184 224 271 244 263 161 188 2
## Row10 306 206 307 2 300 298 255 278 284 295 259 173 241
## Row9 302 190 251 170 187 178 293 2 157 230 260 240 159
## Row8 246 181 189 277 192 232 162 228 305 167 245 5 194
## Row7 58 41 1 124 57 55 11 199 171 254 291 182 304
## Row6 96 133 44 81 98 139 2 66 62 7 53 70 20
## Row5 140 85 65 31 39 106 73 33 76 112 4 34 54
## Row4 145 3 50 128 64 137 95 42 144 120 92 118 115
## Row3 107 67 61 149 80 5 101 47 27 77 151 127 74
## Row2 138 116 122 88 154 117 29 110 78 4 60 83 113
## Row1 2 94 102 114 26 79 91 131 25 109 8 6 49
## Col14 Col15 Col16 Col17 Col18 Col19 Col20 Col21 Col22 Col23 Col24 Col25
## Row30 723 5 655 611 667 700 619 617 721 623 624 635
## Row29 658 714 706 643 684 1 647 638 648 705 625 719
## Row28 681 640 652 654 630 715 646 724 637 2 620 718
## Row27 1 690 607 682 668 613 659 644 628 653 693 634
## Row26 671 691 614 676 2 632 717 660 665 703 707 618
## Row25 462 455 408 596 406 479 451 591 3 494 503 513
## Row24 583 426 453 483 561 496 456 571 430 440 570 459
## Row23 527 553 466 5 418 524 445 420 450 477 563 452
## Row22 431 555 585 538 413 417 577 4 485 546 489 551
## Row21 516 407 594 439 523 604 414 481 532 539 510 1
## Row20 562 586 2 581 573 515 531 425 501 444 587 421
## Row19 517 499 507 465 484 495 5 528 559 434 574 579
## Row18 412 603 476 490 565 511 457 540 582 593 2 568
## Row17 349 3 336 368 341 569 564 557 493 428 554 502
## Row16 385 355 323 378 375 4 318 381 399 333 362 401
## Row15 376 354 391 398 350 338 332 346 330 2 382 313
## Row14 3 370 386 315 325 371 324 372 379 326 317 312
## Row13 203 247 285 281 5 215 400 347 363 393 357 388
## Row12 264 191 286 174 225 269 197 238 1 202 217 164
## Row11 282 268 223 235 165 180 163 231 183 308 198 299
## Row10 216 273 177 4 294 156 276 207 169 160 195 229
## Row9 210 196 233 267 249 227 290 4 205 266 211 258
## Row8 219 208 280 175 172 309 236 234 239 283 212 1
## Row7 270 287 5 166 185 213 218 226 220 288 248 265
## Row6 105 32 84 12 103 16 4 35 19 69 71 87
## Row5 153 130 30 63 152 150 46 141 68 38 3 10
## Row4 155 2 125 147 56 132 9 119 59 13 146 121
## Row3 45 52 21 72 129 1 14 18 43 90 36 75
## Row2 86 134 24 22 15 143 93 17 97 3 99 100
## Row1 5 136 37 48 40 111 135 104 123 28 82 148
## Col26
## Row30 645
## Row29 695
## Row28 712
## Row27 683
## Row26 656
## Row25 497
## Row24 1
## Row23 533
## Row22 427
## Row21 505
## Row20 549
## Row19 592
## Row18 601
## Row17 441
## Row16 343
## Row15 359
## Row14 360
## Row13 344
## Row12 303
## Row11 3
## Row10 214
## Row9 253
## Row8 257
## Row7 262
## Row6 108
## Row5 89
## Row4 51
## Row3 142
## Row2 126
## Row1 23
##
##
## dgnl_r> spatDB$plotsNumber
## [[1]]
## Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 Col10 Col11 Col12 Col13
## Row30 780 779 778 777 776 775 774 773 772 771 770 769 768
## Row29 729 730 731 732 733 734 735 736 737 738 739 740 741
## Row28 728 727 726 725 724 723 722 721 720 719 718 717 716
## Row27 677 678 679 680 681 682 683 684 685 686 687 688 689
## Row26 676 675 674 673 672 671 670 669 668 667 666 665 664
## Row25 625 626 627 628 629 630 631 632 633 634 635 636 637
## Row24 624 623 622 621 620 619 618 617 616 615 614 613 612
## Row23 573 574 575 576 577 578 579 580 581 582 583 584 585
## Row22 572 571 570 569 568 567 566 565 564 563 562 561 560
## Row21 521 522 523 524 525 526 527 528 529 530 531 532 533
## Row20 520 519 518 517 516 515 514 513 512 511 510 509 508
## Row19 469 470 471 472 473 474 475 476 477 478 479 480 481
## Row18 468 467 466 465 464 463 462 461 460 459 458 457 456
## Row17 417 418 419 420 421 422 423 424 425 426 427 428 429
## Row16 416 415 414 413 412 411 410 409 408 407 406 405 404
## Row15 365 366 367 368 369 370 371 372 373 374 375 376 377
## Row14 364 363 362 361 360 359 358 357 356 355 354 353 352
## Row13 313 314 315 316 317 318 319 320 321 322 323 324 325
## Row12 312 311 310 309 308 307 306 305 304 303 302 301 300
## Row11 261 262 263 264 265 266 267 268 269 270 271 272 273
## Row10 260 259 258 257 256 255 254 253 252 251 250 249 248
## Row9 209 210 211 212 213 214 215 216 217 218 219 220 221
## Row8 208 207 206 205 204 203 202 201 200 199 198 197 196
## Row7 157 158 159 160 161 162 163 164 165 166 167 168 169
## Row6 156 155 154 153 152 151 150 149 148 147 146 145 144
## Row5 105 106 107 108 109 110 111 112 113 114 115 116 117
## Row4 104 103 102 101 100 99 98 97 96 95 94 93 92
## Row3 53 54 55 56 57 58 59 60 61 62 63 64 65
## Row2 52 51 50 49 48 47 46 45 44 43 42 41 40
## Row1 1 2 3 4 5 6 7 8 9 10 11 12 13
## Col14 Col15 Col16 Col17 Col18 Col19 Col20 Col21 Col22 Col23 Col24 Col25
## Row30 767 766 765 764 763 762 761 760 759 758 757 756
## Row29 742 743 744 745 746 747 748 749 750 751 752 753
## Row28 715 714 713 712 711 710 709 708 707 706 705 704
## Row27 690 691 692 693 694 695 696 697 698 699 700 701
## Row26 663 662 661 660 659 658 657 656 655 654 653 652
## Row25 638 639 640 641 642 643 644 645 646 647 648 649
## Row24 611 610 609 608 607 606 605 604 603 602 601 600
## Row23 586 587 588 589 590 591 592 593 594 595 596 597
## Row22 559 558 557 556 555 554 553 552 551 550 549 548
## Row21 534 535 536 537 538 539 540 541 542 543 544 545
## Row20 507 506 505 504 503 502 501 500 499 498 497 496
## Row19 482 483 484 485 486 487 488 489 490 491 492 493
## Row18 455 454 453 452 451 450 449 448 447 446 445 444
## Row17 430 431 432 433 434 435 436 437 438 439 440 441
## Row16 403 402 401 400 399 398 397 396 395 394 393 392
## Row15 378 379 380 381 382 383 384 385 386 387 388 389
## Row14 351 350 349 348 347 346 345 344 343 342 341 340
## Row13 326 327 328 329 330 331 332 333 334 335 336 337
## Row12 299 298 297 296 295 294 293 292 291 290 289 288
## Row11 274 275 276 277 278 279 280 281 282 283 284 285
## Row10 247 246 245 244 243 242 241 240 239 238 237 236
## Row9 222 223 224 225 226 227 228 229 230 231 232 233
## Row8 195 194 193 192 191 190 189 188 187 186 185 184
## Row7 170 171 172 173 174 175 176 177 178 179 180 181
## Row6 143 142 141 140 139 138 137 136 135 134 133 132
## Row5 118 119 120 121 122 123 124 125 126 127 128 129
## Row4 91 90 89 88 87 86 85 84 83 82 81 80
## Row3 66 67 68 69 70 71 72 73 74 75 76 77
## Row2 39 38 37 36 35 34 33 32 31 30 29 28
## Row1 14 15 16 17 18 19 20 21 22 23 24 25
## Col26
## Row30 755
## Row29 754
## Row28 703
## Row27 702
## Row26 651
## Row25 650
## Row24 599
## Row23 598
## Row22 547
## Row21 546
## Row20 495
## Row19 494
## Row18 443
## Row17 442
## Row16 391
## Row15 390
## Row14 339
## Row13 338
## Row12 287
## Row11 286
## Row10 235
## Row9 234
## Row8 183
## Row7 182
## Row6 131
## Row5 130
## Row4 79
## Row3 78
## Row2 27
## Row1 26
##
##
## dgnl_r> head(spatDB$fieldBook,12)
## ID EXPT LOCATION YEAR PLOT ROW COLUMN CHECKS ENTRY TREATMENT
## 1 1 Block1 1 2024 1 1 1 2 2 CH2
## 2 2 Block1 1 2024 2 1 2 0 94 G94
## 3 3 Block1 1 2024 3 1 3 0 102 G102
## 4 4 Block1 1 2024 4 1 4 0 114 G114
## 5 5 Block1 1 2024 5 1 5 0 26 G26
## 6 6 Block1 1 2024 6 1 6 0 79 G79
## 7 7 Block1 1 2024 7 1 7 0 91 G91
## 8 8 Block1 1 2024 8 1 8 0 131 G131
## 9 9 Block1 1 2024 9 1 9 0 25 G25
## 10 10 Block1 1 2024 10 1 10 0 109 G109
## 11 11 Block1 1 2024 11 1 11 0 8 G8
## 12 12 Block1 1 2024 12 1 12 0 6 G6
##
## dgnl_r> # Example 3: Generates a spatial decision block diagonal arrangement design in one location
## dgnl_r> # with 270 treatments allocated in 3 experiments or blocks for a field with dimensions
## dgnl_r> # 20 rows x 15 cols in a serpentine arrangement. Which in turn is an augmented block (3 blocks).
## dgnl_r> spatAB <- diagonal_arrangement(
## dgnl_r+ nrows = 20,
## dgnl_r+ ncols = 15,
## dgnl_r+ lines = 270,
## dgnl_r+ checks = 4,
## dgnl_r+ plotNumber = c(1,1001,2001),
## dgnl_r+ kindExpt = "DBUDC",
## dgnl_r+ planter = "serpentine",
## dgnl_r+ exptName = c("20WRA", "20WRB", "20WRC"),
## dgnl_r+ blocks = c(90, 90, 90),
## dgnl_r+ splitBy = "column"
## dgnl_r+ )
##
## dgnl_r> spatAB$infoDesign
## $rows
## [1] 20
##
## $columns
## [1] 15
##
## $treatments
## [1] 90 90 90
##
## $checks
## [1] 4
##
## $entry_checks
## $entry_checks[[1]]
## [1] 1 2 3 4
##
##
## $rep_checks
## $rep_checks[[1]]
## [1] 7 6 8 9
##
##
## $locations
## [1] 1
##
## $planter
## [1] "serpentine"
##
## $percent_checks
## [1] "10%"
##
## $fillers
## [1] 0
##
## $seed
## [1] 72391
##
## $id_design
## [1] 15
##
##
## dgnl_r> spatAB$layoutRandom
## [[1]]
## Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 Col10 Col11 Col12 Col13
## Row20 82 1 56 57 70 144 172 148 146 173 219 4 229
## Row19 49 42 69 21 3 103 111 151 102 157 237 249 221
## Row18 44 10 9 29 12 109 177 3 106 149 262 225 226
## Row17 2 43 90 16 71 162 176 136 104 138 4 191 185
## Row16 75 88 36 1 30 110 133 175 180 158 193 253 186
## Row15 85 45 91 19 13 97 2 171 154 105 252 204 245
## Row14 86 67 14 83 93 134 161 100 140 4 211 217 251
## Row13 33 92 3 6 5 116 160 101 117 98 227 263 2
## Row12 54 31 74 89 8 3 181 145 99 114 254 223 267
## Row11 23 7 50 25 76 137 163 168 2 159 242 260 206
## Row10 63 4 11 24 61 139 182 167 153 130 208 3 216
## Row9 80 65 58 52 1 118 135 125 122 147 192 264 234
## Row8 32 26 41 48 39 152 183 4 165 95 233 220 240
## Row7 4 66 37 68 46 178 142 132 96 115 1 198 258
## Row6 55 27 35 2 77 155 166 131 127 169 209 212 256
## Row5 94 18 60 34 40 141 3 119 126 184 231 224 241
## Row4 59 15 73 38 84 179 113 170 164 1 232 189 235
## Row3 28 47 4 53 51 143 123 120 129 108 244 207 4
## Row2 64 20 17 72 81 4 107 150 174 156 210 230 222
## Row1 79 62 78 22 87 121 124 112 1 128 228 261 213
## Col14 Col15
## Row20 243 259
## Row19 248 3
## Row18 246 196
## Row17 269 265
## Row16 2 190
## Row15 214 257
## Row14 188 266
## Row13 272 255
## Row12 201 203
## Row11 202 270
## Row10 205 215
## Row9 268 3
## Row8 218 197
## Row7 247 250
## Row6 1 187
## Row5 273 239
## Row4 236 274
## Row3 271 195
## Row2 200 199
## Row1 238 194
##
##
## dgnl_r> spatAB$plotsNumber
## [[1]]
## Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 Col10 Col11 Col12 Col13
## Row20 100 99 98 97 96 1100 1099 1098 1097 1096 2100 2099 2098
## Row19 91 92 93 94 95 1091 1092 1093 1094 1095 2091 2092 2093
## Row18 90 89 88 87 86 1090 1089 1088 1087 1086 2090 2089 2088
## Row17 81 82 83 84 85 1081 1082 1083 1084 1085 2081 2082 2083
## Row16 80 79 78 77 76 1080 1079 1078 1077 1076 2080 2079 2078
## Row15 71 72 73 74 75 1071 1072 1073 1074 1075 2071 2072 2073
## Row14 70 69 68 67 66 1070 1069 1068 1067 1066 2070 2069 2068
## Row13 61 62 63 64 65 1061 1062 1063 1064 1065 2061 2062 2063
## Row12 60 59 58 57 56 1060 1059 1058 1057 1056 2060 2059 2058
## Row11 51 52 53 54 55 1051 1052 1053 1054 1055 2051 2052 2053
## Row10 50 49 48 47 46 1050 1049 1048 1047 1046 2050 2049 2048
## Row9 41 42 43 44 45 1041 1042 1043 1044 1045 2041 2042 2043
## Row8 40 39 38 37 36 1040 1039 1038 1037 1036 2040 2039 2038
## Row7 31 32 33 34 35 1031 1032 1033 1034 1035 2031 2032 2033
## Row6 30 29 28 27 26 1030 1029 1028 1027 1026 2030 2029 2028
## Row5 21 22 23 24 25 1021 1022 1023 1024 1025 2021 2022 2023
## Row4 20 19 18 17 16 1020 1019 1018 1017 1016 2020 2019 2018
## Row3 11 12 13 14 15 1011 1012 1013 1014 1015 2011 2012 2013
## Row2 10 9 8 7 6 1010 1009 1008 1007 1006 2010 2009 2008
## Row1 1 2 3 4 5 1001 1002 1003 1004 1005 2001 2002 2003
## Col14 Col15
## Row20 2097 2096
## Row19 2094 2095
## Row18 2087 2086
## Row17 2084 2085
## Row16 2077 2076
## Row15 2074 2075
## Row14 2067 2066
## Row13 2064 2065
## Row12 2057 2056
## Row11 2054 2055
## Row10 2047 2046
## Row9 2044 2045
## Row8 2037 2036
## Row7 2034 2035
## Row6 2027 2026
## Row5 2024 2025
## Row4 2017 2016
## Row3 2014 2015
## Row2 2007 2006
## Row1 2004 2005
##
##
## dgnl_r> head(spatAB$fieldBook,12)
## ID EXPT LOCATION YEAR PLOT ROW COLUMN CHECKS ENTRY TREATMENT
## 1 1 20WRA 1 2024 1 1 1 0 79 Gen-79
## 2 2 20WRA 1 2024 2 1 2 0 62 Gen-62
## 3 3 20WRA 1 2024 3 1 3 0 78 Gen-78
## 4 4 20WRA 1 2024 4 1 4 0 22 Gen-22
## 5 5 20WRA 1 2024 5 1 5 0 87 Gen-87
## 6 6 20WRB 1 2024 1001 1 6 0 121 Gen-121
## 7 7 20WRB 1 2024 1002 1 7 0 124 Gen-124
## 8 8 20WRB 1 2024 1003 1 8 0 112 Gen-112
## 9 9 20WRB 1 2024 1004 1 9 1 1 Check-1
## 10 10 20WRB 1 2024 1005 1 10 0 128 Gen-128
## 11 11 20WRC 1 2024 2001 1 11 0 228 Gen-228
## 12 12 20WRC 1 2024 2002 1 12 0 261 Gen-261
p <- full_control_positions(plt$field_book, "COLUMN", "ROW", factor_name = "TREATMENT", label = "TREATMENT")## ID EXPT LOCATION YEAR PLOT ROW COLUMN CHECKS ENTRY TREATMENT
## 1 1 20WRA 1 2024 1 1 1 0 79 Gen-79
## 2 2 20WRA 1 2024 2 1 2 0 62 Gen-62
## 3 3 20WRA 1 2024 3 1 3 0 78 Gen-78
## 4 4 20WRA 1 2024 4 1 4 0 22 Gen-22
## 5 5 20WRA 1 2024 5 1 5 0 87 Gen-87
## 6 6 20WRB 1 2024 1001 1 6 0 121 Gen-121
## 7 7 20WRB 1 2024 1002 1 7 0 124 Gen-124
## 8 8 20WRB 1 2024 1003 1 8 0 112 Gen-112
## 9 9 20WRB 1 2024 1004 1 9 1 1 Check-1
## 10 10 20WRB 1 2024 1005 1 10 0 128 Gen-128
## 11 11 20WRC 1 2024 2001 1 11 0 228 Gen-228
## 12 12 20WRC 1 2024 2002 1 12 0 261 Gen-261
## 13 13 20WRC 1 2024 2003 1 13 0 213 Gen-213
## 14 14 20WRC 1 2024 2004 1 14 0 238 Gen-238
## 15 15 20WRC 1 2024 2005 1 15 0 194 Gen-194
## 16 16 20WRA 1 2024 6 2 5 0 81 Gen-81
## 17 17 20WRA 1 2024 7 2 4 0 72 Gen-72
## 18 18 20WRA 1 2024 8 2 3 0 17 Gen-17
## 19 19 20WRA 1 2024 9 2 2 0 20 Gen-20
## 20 20 20WRA 1 2024 10 2 1 0 64 Gen-64
## 21 21 20WRB 1 2024 1006 2 10 0 156 Gen-156
## 22 22 20WRB 1 2024 1007 2 9 0 174 Gen-174
## 23 23 20WRB 1 2024 1008 2 8 0 150 Gen-150
## 24 24 20WRB 1 2024 1009 2 7 0 107 Gen-107
## 25 25 20WRB 1 2024 1010 2 6 4 4 Check-4
## 26 26 20WRC 1 2024 2006 2 15 0 199 Gen-199
## 27 27 20WRC 1 2024 2007 2 14 0 200 Gen-200
## 28 28 20WRC 1 2024 2008 2 13 0 222 Gen-222
## 29 29 20WRC 1 2024 2009 2 12 0 230 Gen-230
## 30 30 20WRC 1 2024 2010 2 11 0 210 Gen-210
## 31 31 20WRA 1 2024 11 3 1 0 28 Gen-28
## 32 32 20WRA 1 2024 12 3 2 0 47 Gen-47
## 33 33 20WRA 1 2024 13 3 3 4 4 Check-4
## 34 34 20WRA 1 2024 14 3 4 0 53 Gen-53
## 35 35 20WRA 1 2024 15 3 5 0 51 Gen-51
## 36 36 20WRB 1 2024 1011 3 6 0 143 Gen-143
## 37 37 20WRB 1 2024 1012 3 7 0 123 Gen-123
## 38 38 20WRB 1 2024 1013 3 8 0 120 Gen-120
## 39 39 20WRB 1 2024 1014 3 9 0 129 Gen-129
## 40 40 20WRB 1 2024 1015 3 10 0 108 Gen-108
## 41 41 20WRC 1 2024 2011 3 11 0 244 Gen-244
## 42 42 20WRC 1 2024 2012 3 12 0 207 Gen-207
## 43 43 20WRC 1 2024 2013 3 13 4 4 Check-4
## 44 44 20WRC 1 2024 2014 3 14 0 271 Gen-271
## 45 45 20WRC 1 2024 2015 3 15 0 195 Gen-195
## 46 46 20WRA 1 2024 16 4 5 0 84 Gen-84
## 47 47 20WRA 1 2024 17 4 4 0 38 Gen-38
## 48 48 20WRA 1 2024 18 4 3 0 73 Gen-73
## 49 49 20WRA 1 2024 19 4 2 0 15 Gen-15
## 50 50 20WRA 1 2024 20 4 1 0 59 Gen-59
## 51 51 20WRB 1 2024 1016 4 10 1 1 Check-1
## 52 52 20WRB 1 2024 1017 4 9 0 164 Gen-164
## 53 53 20WRB 1 2024 1018 4 8 0 170 Gen-170
## 54 54 20WRB 1 2024 1019 4 7 0 113 Gen-113
## 55 55 20WRB 1 2024 1020 4 6 0 179 Gen-179
## 56 56 20WRC 1 2024 2016 4 15 0 274 Gen-274
## 57 57 20WRC 1 2024 2017 4 14 0 236 Gen-236
## 58 58 20WRC 1 2024 2018 4 13 0 235 Gen-235
## 59 59 20WRC 1 2024 2019 4 12 0 189 Gen-189
## 60 60 20WRC 1 2024 2020 4 11 0 232 Gen-232
## 61 61 20WRA 1 2024 21 5 1 0 94 Gen-94
## 62 62 20WRA 1 2024 22 5 2 0 18 Gen-18
## 63 63 20WRA 1 2024 23 5 3 0 60 Gen-60
## 64 64 20WRA 1 2024 24 5 4 0 34 Gen-34
## 65 65 20WRA 1 2024 25 5 5 0 40 Gen-40
## 66 66 20WRB 1 2024 1021 5 6 0 141 Gen-141
## 67 67 20WRB 1 2024 1022 5 7 3 3 Check-3
## 68 68 20WRB 1 2024 1023 5 8 0 119 Gen-119
## 69 69 20WRB 1 2024 1024 5 9 0 126 Gen-126
## 70 70 20WRB 1 2024 1025 5 10 0 184 Gen-184
## 71 71 20WRC 1 2024 2021 5 11 0 231 Gen-231
## 72 72 20WRC 1 2024 2022 5 12 0 224 Gen-224
## 73 73 20WRC 1 2024 2023 5 13 0 241 Gen-241
## 74 74 20WRC 1 2024 2024 5 14 0 273 Gen-273
## 75 75 20WRC 1 2024 2025 5 15 0 239 Gen-239
## 76 76 20WRA 1 2024 26 6 5 0 77 Gen-77
## 77 77 20WRA 1 2024 27 6 4 2 2 Check-2
## 78 78 20WRA 1 2024 28 6 3 0 35 Gen-35
## 79 79 20WRA 1 2024 29 6 2 0 27 Gen-27
## 80 80 20WRA 1 2024 30 6 1 0 55 Gen-55
## 81 81 20WRB 1 2024 1026 6 10 0 169 Gen-169
## 82 82 20WRB 1 2024 1027 6 9 0 127 Gen-127
## 83 83 20WRB 1 2024 1028 6 8 0 131 Gen-131
## 84 84 20WRB 1 2024 1029 6 7 0 166 Gen-166
## 85 85 20WRB 1 2024 1030 6 6 0 155 Gen-155
## 86 86 20WRC 1 2024 2026 6 15 0 187 Gen-187
## 87 87 20WRC 1 2024 2027 6 14 1 1 Check-1
## 88 88 20WRC 1 2024 2028 6 13 0 256 Gen-256
## 89 89 20WRC 1 2024 2029 6 12 0 212 Gen-212
## 90 90 20WRC 1 2024 2030 6 11 0 209 Gen-209
## 91 91 20WRA 1 2024 31 7 1 4 4 Check-4
## 92 92 20WRA 1 2024 32 7 2 0 66 Gen-66
## 93 93 20WRA 1 2024 33 7 3 0 37 Gen-37
## 94 94 20WRA 1 2024 34 7 4 0 68 Gen-68
## 95 95 20WRA 1 2024 35 7 5 0 46 Gen-46
## 96 96 20WRB 1 2024 1031 7 6 0 178 Gen-178
## 97 97 20WRB 1 2024 1032 7 7 0 142 Gen-142
## 98 98 20WRB 1 2024 1033 7 8 0 132 Gen-132
## 99 99 20WRB 1 2024 1034 7 9 0 96 Gen-96
## 100 100 20WRB 1 2024 1035 7 10 0 115 Gen-115
## 101 101 20WRC 1 2024 2031 7 11 1 1 Check-1
## 102 102 20WRC 1 2024 2032 7 12 0 198 Gen-198
## 103 103 20WRC 1 2024 2033 7 13 0 258 Gen-258
## 104 104 20WRC 1 2024 2034 7 14 0 247 Gen-247
## 105 105 20WRC 1 2024 2035 7 15 0 250 Gen-250
## 106 106 20WRA 1 2024 36 8 5 0 39 Gen-39
## 107 107 20WRA 1 2024 37 8 4 0 48 Gen-48
## 108 108 20WRA 1 2024 38 8 3 0 41 Gen-41
## 109 109 20WRA 1 2024 39 8 2 0 26 Gen-26
## 110 110 20WRA 1 2024 40 8 1 0 32 Gen-32
## 111 111 20WRB 1 2024 1036 8 10 0 95 Gen-95
## 112 112 20WRB 1 2024 1037 8 9 0 165 Gen-165
## 113 113 20WRB 1 2024 1038 8 8 4 4 Check-4
## 114 114 20WRB 1 2024 1039 8 7 0 183 Gen-183
## 115 115 20WRB 1 2024 1040 8 6 0 152 Gen-152
## 116 116 20WRC 1 2024 2036 8 15 0 197 Gen-197
## 117 117 20WRC 1 2024 2037 8 14 0 218 Gen-218
## 118 118 20WRC 1 2024 2038 8 13 0 240 Gen-240
## 119 119 20WRC 1 2024 2039 8 12 0 220 Gen-220
## 120 120 20WRC 1 2024 2040 8 11 0 233 Gen-233
## 121 121 20WRA 1 2024 41 9 1 0 80 Gen-80
## 122 122 20WRA 1 2024 42 9 2 0 65 Gen-65
## 123 123 20WRA 1 2024 43 9 3 0 58 Gen-58
## 124 124 20WRA 1 2024 44 9 4 0 52 Gen-52
## 125 125 20WRA 1 2024 45 9 5 1 1 Check-1
## 126 126 20WRB 1 2024 1041 9 6 0 118 Gen-118
## 127 127 20WRB 1 2024 1042 9 7 0 135 Gen-135
## 128 128 20WRB 1 2024 1043 9 8 0 125 Gen-125
## 129 129 20WRB 1 2024 1044 9 9 0 122 Gen-122
## 130 130 20WRB 1 2024 1045 9 10 0 147 Gen-147
## 131 131 20WRC 1 2024 2041 9 11 0 192 Gen-192
## 132 132 20WRC 1 2024 2042 9 12 0 264 Gen-264
## 133 133 20WRC 1 2024 2043 9 13 0 234 Gen-234
## 134 134 20WRC 1 2024 2044 9 14 0 268 Gen-268
## 135 135 20WRC 1 2024 2045 9 15 3 3 Check-3
## 136 136 20WRA 1 2024 46 10 5 0 61 Gen-61
## 137 137 20WRA 1 2024 47 10 4 0 24 Gen-24
## 138 138 20WRA 1 2024 48 10 3 0 11 Gen-11
## 139 139 20WRA 1 2024 49 10 2 4 4 Check-4
## 140 140 20WRA 1 2024 50 10 1 0 63 Gen-63
## 141 141 20WRB 1 2024 1046 10 10 0 130 Gen-130
## 142 142 20WRB 1 2024 1047 10 9 0 153 Gen-153
## 143 143 20WRB 1 2024 1048 10 8 0 167 Gen-167
## 144 144 20WRB 1 2024 1049 10 7 0 182 Gen-182
## 145 145 20WRB 1 2024 1050 10 6 0 139 Gen-139
## 146 146 20WRC 1 2024 2046 10 15 0 215 Gen-215
## 147 147 20WRC 1 2024 2047 10 14 0 205 Gen-205
## 148 148 20WRC 1 2024 2048 10 13 0 216 Gen-216
## 149 149 20WRC 1 2024 2049 10 12 3 3 Check-3
## 150 150 20WRC 1 2024 2050 10 11 0 208 Gen-208
## 151 151 20WRA 1 2024 51 11 1 0 23 Gen-23
## 152 152 20WRA 1 2024 52 11 2 0 7 Gen-7
## 153 153 20WRA 1 2024 53 11 3 0 50 Gen-50
## 154 154 20WRA 1 2024 54 11 4 0 25 Gen-25
## 155 155 20WRA 1 2024 55 11 5 0 76 Gen-76
## 156 156 20WRB 1 2024 1051 11 6 0 137 Gen-137
## 157 157 20WRB 1 2024 1052 11 7 0 163 Gen-163
## 158 158 20WRB 1 2024 1053 11 8 0 168 Gen-168
## 159 159 20WRB 1 2024 1054 11 9 2 2 Check-2
## 160 160 20WRB 1 2024 1055 11 10 0 159 Gen-159
## 161 161 20WRC 1 2024 2051 11 11 0 242 Gen-242
## 162 162 20WRC 1 2024 2052 11 12 0 260 Gen-260
## 163 163 20WRC 1 2024 2053 11 13 0 206 Gen-206
## 164 164 20WRC 1 2024 2054 11 14 0 202 Gen-202
## 165 165 20WRC 1 2024 2055 11 15 0 270 Gen-270
## 166 166 20WRA 1 2024 56 12 5 0 8 Gen-8
## 167 167 20WRA 1 2024 57 12 4 0 89 Gen-89
## 168 168 20WRA 1 2024 58 12 3 0 74 Gen-74
## 169 169 20WRA 1 2024 59 12 2 0 31 Gen-31
## 170 170 20WRA 1 2024 60 12 1 0 54 Gen-54
## 171 171 20WRB 1 2024 1056 12 10 0 114 Gen-114
## 172 172 20WRB 1 2024 1057 12 9 0 99 Gen-99
## 173 173 20WRB 1 2024 1058 12 8 0 145 Gen-145
## 174 174 20WRB 1 2024 1059 12 7 0 181 Gen-181
## 175 175 20WRB 1 2024 1060 12 6 3 3 Check-3
## 176 176 20WRC 1 2024 2056 12 15 0 203 Gen-203
## 177 177 20WRC 1 2024 2057 12 14 0 201 Gen-201
## 178 178 20WRC 1 2024 2058 12 13 0 267 Gen-267
## 179 179 20WRC 1 2024 2059 12 12 0 223 Gen-223
## 180 180 20WRC 1 2024 2060 12 11 0 254 Gen-254
## 181 181 20WRA 1 2024 61 13 1 0 33 Gen-33
## 182 182 20WRA 1 2024 62 13 2 0 92 Gen-92
## 183 183 20WRA 1 2024 63 13 3 3 3 Check-3
## 184 184 20WRA 1 2024 64 13 4 0 6 Gen-6
## 185 185 20WRA 1 2024 65 13 5 0 5 Gen-5
## 186 186 20WRB 1 2024 1061 13 6 0 116 Gen-116
## 187 187 20WRB 1 2024 1062 13 7 0 160 Gen-160
## 188 188 20WRB 1 2024 1063 13 8 0 101 Gen-101
## 189 189 20WRB 1 2024 1064 13 9 0 117 Gen-117
## 190 190 20WRB 1 2024 1065 13 10 0 98 Gen-98
## 191 191 20WRC 1 2024 2061 13 11 0 227 Gen-227
## 192 192 20WRC 1 2024 2062 13 12 0 263 Gen-263
## 193 193 20WRC 1 2024 2063 13 13 2 2 Check-2
## 194 194 20WRC 1 2024 2064 13 14 0 272 Gen-272
## 195 195 20WRC 1 2024 2065 13 15 0 255 Gen-255
## 196 196 20WRA 1 2024 66 14 5 0 93 Gen-93
## 197 197 20WRA 1 2024 67 14 4 0 83 Gen-83
## 198 198 20WRA 1 2024 68 14 3 0 14 Gen-14
## 199 199 20WRA 1 2024 69 14 2 0 67 Gen-67
## 200 200 20WRA 1 2024 70 14 1 0 86 Gen-86
## 201 201 20WRB 1 2024 1066 14 10 4 4 Check-4
## 202 202 20WRB 1 2024 1067 14 9 0 140 Gen-140
## 203 203 20WRB 1 2024 1068 14 8 0 100 Gen-100
## 204 204 20WRB 1 2024 1069 14 7 0 161 Gen-161
## 205 205 20WRB 1 2024 1070 14 6 0 134 Gen-134
## 206 206 20WRC 1 2024 2066 14 15 0 266 Gen-266
## 207 207 20WRC 1 2024 2067 14 14 0 188 Gen-188
## 208 208 20WRC 1 2024 2068 14 13 0 251 Gen-251
## 209 209 20WRC 1 2024 2069 14 12 0 217 Gen-217
## 210 210 20WRC 1 2024 2070 14 11 0 211 Gen-211
## 211 211 20WRA 1 2024 71 15 1 0 85 Gen-85
## 212 212 20WRA 1 2024 72 15 2 0 45 Gen-45
## 213 213 20WRA 1 2024 73 15 3 0 91 Gen-91
## 214 214 20WRA 1 2024 74 15 4 0 19 Gen-19
## 215 215 20WRA 1 2024 75 15 5 0 13 Gen-13
## 216 216 20WRB 1 2024 1071 15 6 0 97 Gen-97
## 217 217 20WRB 1 2024 1072 15 7 2 2 Check-2
## 218 218 20WRB 1 2024 1073 15 8 0 171 Gen-171
## 219 219 20WRB 1 2024 1074 15 9 0 154 Gen-154
## 220 220 20WRB 1 2024 1075 15 10 0 105 Gen-105
## 221 221 20WRC 1 2024 2071 15 11 0 252 Gen-252
## 222 222 20WRC 1 2024 2072 15 12 0 204 Gen-204
## 223 223 20WRC 1 2024 2073 15 13 0 245 Gen-245
## 224 224 20WRC 1 2024 2074 15 14 0 214 Gen-214
## 225 225 20WRC 1 2024 2075 15 15 0 257 Gen-257
## 226 226 20WRA 1 2024 76 16 5 0 30 Gen-30
## 227 227 20WRA 1 2024 77 16 4 1 1 Check-1
## 228 228 20WRA 1 2024 78 16 3 0 36 Gen-36
## 229 229 20WRA 1 2024 79 16 2 0 88 Gen-88
## 230 230 20WRA 1 2024 80 16 1 0 75 Gen-75
## 231 231 20WRB 1 2024 1076 16 10 0 158 Gen-158
## 232 232 20WRB 1 2024 1077 16 9 0 180 Gen-180
## 233 233 20WRB 1 2024 1078 16 8 0 175 Gen-175
## 234 234 20WRB 1 2024 1079 16 7 0 133 Gen-133
## 235 235 20WRB 1 2024 1080 16 6 0 110 Gen-110
## 236 236 20WRC 1 2024 2076 16 15 0 190 Gen-190
## 237 237 20WRC 1 2024 2077 16 14 2 2 Check-2
## 238 238 20WRC 1 2024 2078 16 13 0 186 Gen-186
## 239 239 20WRC 1 2024 2079 16 12 0 253 Gen-253
## 240 240 20WRC 1 2024 2080 16 11 0 193 Gen-193
## 241 241 20WRA 1 2024 81 17 1 2 2 Check-2
## 242 242 20WRA 1 2024 82 17 2 0 43 Gen-43
## 243 243 20WRA 1 2024 83 17 3 0 90 Gen-90
## 244 244 20WRA 1 2024 84 17 4 0 16 Gen-16
## 245 245 20WRA 1 2024 85 17 5 0 71 Gen-71
## 246 246 20WRB 1 2024 1081 17 6 0 162 Gen-162
## 247 247 20WRB 1 2024 1082 17 7 0 176 Gen-176
## 248 248 20WRB 1 2024 1083 17 8 0 136 Gen-136
## 249 249 20WRB 1 2024 1084 17 9 0 104 Gen-104
## 250 250 20WRB 1 2024 1085 17 10 0 138 Gen-138
## 251 251 20WRC 1 2024 2081 17 11 4 4 Check-4
## 252 252 20WRC 1 2024 2082 17 12 0 191 Gen-191
## 253 253 20WRC 1 2024 2083 17 13 0 185 Gen-185
## 254 254 20WRC 1 2024 2084 17 14 0 269 Gen-269
## 255 255 20WRC 1 2024 2085 17 15 0 265 Gen-265
## 256 256 20WRA 1 2024 86 18 5 0 12 Gen-12
## 257 257 20WRA 1 2024 87 18 4 0 29 Gen-29
## 258 258 20WRA 1 2024 88 18 3 0 9 Gen-9
## 259 259 20WRA 1 2024 89 18 2 0 10 Gen-10
## 260 260 20WRA 1 2024 90 18 1 0 44 Gen-44
## 261 261 20WRB 1 2024 1086 18 10 0 149 Gen-149
## 262 262 20WRB 1 2024 1087 18 9 0 106 Gen-106
## 263 263 20WRB 1 2024 1088 18 8 3 3 Check-3
## 264 264 20WRB 1 2024 1089 18 7 0 177 Gen-177
## 265 265 20WRB 1 2024 1090 18 6 0 109 Gen-109
## 266 266 20WRC 1 2024 2086 18 15 0 196 Gen-196
## 267 267 20WRC 1 2024 2087 18 14 0 246 Gen-246
## 268 268 20WRC 1 2024 2088 18 13 0 226 Gen-226
## 269 269 20WRC 1 2024 2089 18 12 0 225 Gen-225
## 270 270 20WRC 1 2024 2090 18 11 0 262 Gen-262
## 271 271 20WRA 1 2024 91 19 1 0 49 Gen-49
## 272 272 20WRA 1 2024 92 19 2 0 42 Gen-42
## 273 273 20WRA 1 2024 93 19 3 0 69 Gen-69
## 274 274 20WRA 1 2024 94 19 4 0 21 Gen-21
## 275 275 20WRA 1 2024 95 19 5 3 3 Check-3
## 276 276 20WRB 1 2024 1091 19 6 0 103 Gen-103
## 277 277 20WRB 1 2024 1092 19 7 0 111 Gen-111
## 278 278 20WRB 1 2024 1093 19 8 0 151 Gen-151
## 279 279 20WRB 1 2024 1094 19 9 0 102 Gen-102
## 280 280 20WRB 1 2024 1095 19 10 0 157 Gen-157
## 281 281 20WRC 1 2024 2091 19 11 0 237 Gen-237
## 282 282 20WRC 1 2024 2092 19 12 0 249 Gen-249
## 283 283 20WRC 1 2024 2093 19 13 0 221 Gen-221
## 284 284 20WRC 1 2024 2094 19 14 0 248 Gen-248
## 285 285 20WRC 1 2024 2095 19 15 3 3 Check-3
## 286 286 20WRA 1 2024 96 20 5 0 70 Gen-70
## 287 287 20WRA 1 2024 97 20 4 0 57 Gen-57
## 288 288 20WRA 1 2024 98 20 3 0 56 Gen-56
## 289 289 20WRA 1 2024 99 20 2 1 1 Check-1
## 290 290 20WRA 1 2024 100 20 1 0 82 Gen-82
## 291 291 20WRB 1 2024 1096 20 10 0 173 Gen-173
## 292 292 20WRB 1 2024 1097 20 9 0 146 Gen-146
## 293 293 20WRB 1 2024 1098 20 8 0 148 Gen-148
## 294 294 20WRB 1 2024 1099 20 7 0 172 Gen-172
## 295 295 20WRB 1 2024 1100 20 6 0 144 Gen-144
## 296 296 20WRC 1 2024 2096 20 15 0 259 Gen-259
## 297 297 20WRC 1 2024 2097 20 14 0 243 Gen-243
## 298 298 20WRC 1 2024 2098 20 13 0 229 Gen-229
## 299 299 20WRC 1 2024 2099 20 12 4 4 Check-4
## 300 300 20WRC 1 2024 2100 20 11 0 219 Gen-219
# Example 6: Augmented Randomized Complete Block Design (ARCBD)
##
## RCBD_g> # Example 1: Generates an ARCBD with 6 blocks, 3 checks for each, and 50 treatments
## RCBD_g> # in two locations.
## RCBD_g> ARCBD1 <- RCBD_augmented(lines = 50, checks = 3, b = 6, l = 2,
## RCBD_g+ planter = "cartesian",
## RCBD_g+ plotNumber = c(1,1001),
## RCBD_g+ seed = 23,
## RCBD_g+ locationNames = c("FARGO", "MINOT"))
##
## RCBD_g> ARCBD1$infoDesign
## $rows
## [1] 6
##
## $columns
## [1] 12
##
## $rows_within_blocks
## [1] 1
##
## $columns_within_blocks
## [1] 12
##
## $treatments
## [1] 50
##
## $checks
## [1] 3
##
## $blocks
## [1] 6
##
## $plots_per_block
## [1] 12 12 12 12 12 8
##
## $locations
## [1] 2
##
## $fillers
## [1] 4
##
## $seed
## [1] 23
##
## $id_design
## [1] 14
##
##
## RCBD_g> ARCBD1$layoutRandom
## Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 Col10 Col11 Col12
## Row6 2 15 38 3 21 36 26 1 0 0 0 0
## Row5 3 1 24 46 11 2 48 37 32 31 20 42
## Row4 34 25 16 41 9 50 2 43 39 1 13 3
## Row3 18 28 5 2 40 8 30 17 53 10 3 1
## Row2 7 29 12 2 3 33 22 23 4 47 19 1
## Row1 49 14 27 3 2 45 6 35 52 44 51 1
##
## RCBD_g> ARCBD1$exptNames
## V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12
## 1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 2 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 3 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 4 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 5 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 6 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
##
## RCBD_g> ARCBD1$plotNumber
## V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12
## [1,] 61 62 63 64 65 66 67 68 0 0 0 0
## [2,] 49 50 51 52 53 54 55 56 57 58 59 60
## [3,] 37 38 39 40 41 42 43 44 45 46 47 48
## [4,] 25 26 27 28 29 30 31 32 33 34 35 36
## [5,] 13 14 15 16 17 18 19 20 21 22 23 24
## [6,] 1 2 3 4 5 6 7 8 9 10 11 12
##
## RCBD_g> head(ARCBD1$fieldBook, 12)
## ID EXPT LOCATION YEAR PLOT ROW COLUMN CHECKS BLOCK ENTRY TREATMENT
## 1 1 Expt1 FARGO 2024 1 1 1 0 1 49 G49
## 2 2 Expt1 FARGO 2024 2 1 2 0 1 14 G14
## 3 3 Expt1 FARGO 2024 3 1 3 0 1 27 G27
## 4 4 Expt1 FARGO 2024 4 1 4 1 1 3 CH3
## 5 5 Expt1 FARGO 2024 5 1 5 1 1 2 CH2
## 6 6 Expt1 FARGO 2024 6 1 6 0 1 45 G45
## 7 7 Expt1 FARGO 2024 7 1 7 0 1 6 G6
## 8 8 Expt1 FARGO 2024 8 1 8 0 1 35 G35
## 9 9 Expt1 FARGO 2024 9 1 9 0 1 52 G52
## 10 10 Expt1 FARGO 2024 10 1 10 0 1 44 G44
## 11 11 Expt1 FARGO 2024 11 1 11 0 1 51 G51
## 12 12 Expt1 FARGO 2024 12 1 12 1 1 1 CH1
##
## RCBD_g> # Example 2: Generates an ARCBD with 17 blocks, 4 checks for each, and 350 treatments
## RCBD_g> # in 3 locations.
## RCBD_g> # In this case, we show how to use the option data.
## RCBD_g> checks <- 4;
##
## RCBD_g> list_checks <- paste("CH", 1:checks, sep = "")
##
## RCBD_g> treatments <- paste("G", 5:354, sep = "")
##
## RCBD_g> treatment_list <- data.frame(list(ENTRY = 1:354, NAME = c(list_checks, treatments)))
##
## RCBD_g> head(treatment_list, 12)
## ENTRY NAME
## 1 1 CH1
## 2 2 CH2
## 3 3 CH3
## 4 4 CH4
## 5 5 G5
## 6 6 G6
## 7 7 G7
## 8 8 G8
## 9 9 G9
## 10 10 G10
## 11 11 G11
## 12 12 G12
##
## RCBD_g> ARCBD2 <- RCBD_augmented(lines = 350, checks = 4, b = 17, l = 3,
## RCBD_g+ planter = "serpentine",
## RCBD_g+ plotNumber = c(101,1001,2001),
## RCBD_g+ seed = 24,
## RCBD_g+ locationNames = LETTERS[1:3],
## RCBD_g+ data = treatment_list)
##
## RCBD_g> ARCBD2$infoDesign
## $rows
## [1] 17
##
## $columns
## [1] 25
##
## $rows_within_blocks
## [1] 1
##
## $columns_within_blocks
## [1] 25
##
## $treatments
## [1] 350
##
## $checks
## [1] 4
##
## $blocks
## [1] 17
##
## $plots_per_block
## [1] 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 18
##
## $locations
## [1] 3
##
## $fillers
## [1] 7
##
## $seed
## [1] 24
##
## $id_design
## [1] 14
##
##
## RCBD_g> ARCBD2$layoutRandom
## Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 Col10 Col11 Col12 Col13
## Row17 257 259 1 198 331 66 3 238 170 176 126 207 225
## Row16 17 12 1 314 22 235 77 340 188 76 101 2 16
## Row15 229 231 54 3 305 4 128 50 30 55 1 337 24
## Row14 63 45 62 40 140 322 82 228 283 142 53 211 7
## Row13 253 2 68 113 13 279 47 57 4 132 3 167 159
## Row12 282 205 192 324 315 2 247 124 179 58 105 273 31
## Row11 110 125 85 332 250 248 265 255 2 251 52 42 236
## Row10 173 154 338 327 78 3 96 177 193 4 244 191 348
## Row9 4 2 25 103 36 155 260 246 189 49 197 284 242
## Row8 107 321 186 4 163 33 71 109 100 174 309 18 135
## Row7 2 239 252 213 261 150 3 266 277 307 4 95 311
## Row6 133 75 153 102 274 2 4 1 270 285 3 240 276
## Row5 234 56 349 288 202 300 79 87 157 64 168 1 4
## Row4 160 195 2 289 161 83 143 271 141 144 94 320 3
## Row3 268 209 4 185 308 115 81 342 249 258 120 1 2
## Row2 172 347 346 215 298 86 1 116 328 224 139 3 4
## Row1 345 130 4 162 1 123 2 39 9 302 210 352 138
## Col14 Col15 Col16 Col17 Col18 Col19 Col20 Col21 Col22 Col23 Col24 Col25
## Row17 122 4 208 187 2 0 0 0 0 0 0 0
## Row16 3 219 111 291 316 4 341 169 222 237 65 281
## Row15 329 263 2 74 108 318 350 147 306 325 37 43
## Row14 136 310 5 2 199 1 4 164 46 3 158 223
## Row13 23 1 148 117 201 28 11 119 190 73 72 99
## Row12 32 1 27 243 241 21 3 303 4 106 127 254
## Row11 35 1 216 61 3 4 230 69 245 339 98 14
## Row10 1 227 323 2 203 118 181 88 104 10 272 175
## Row9 335 217 319 200 3 152 97 267 44 275 92 1
## Row8 221 333 121 2 1 3 214 226 183 15 194 351
## Row7 313 60 293 38 59 67 232 134 1 178 93 114
## Row6 156 41 165 146 51 317 292 280 343 171 334 84
## Row5 220 34 131 262 3 180 129 145 2 212 91 278
## Row4 19 353 301 6 4 206 304 1 233 354 166 20
## Row3 294 89 269 29 26 286 290 336 80 3 149 312
## Row2 48 295 151 287 2 326 70 264 204 137 296 8
## Row1 297 330 3 256 90 184 196 218 344 299 182 112
##
## RCBD_g> ARCBD2$exptNames
## V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12
## 1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 2 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 3 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 4 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 5 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 6 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 7 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 8 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 9 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 10 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 11 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 12 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 13 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 14 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 15 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 16 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 17 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## V13 V14 V15 V16 V17 V18 V19 V20 V21 V22 V23 V24
## 1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 2 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 3 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 4 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 5 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 6 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 7 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 8 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 9 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 10 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 11 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 12 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 13 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 14 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 15 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 16 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## 17 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1 Expt1
## V25
## 1 Expt1
## 2 Expt1
## 3 Expt1
## 4 Expt1
## 5 Expt1
## 6 Expt1
## 7 Expt1
## 8 Expt1
## 9 Expt1
## 10 Expt1
## 11 Expt1
## 12 Expt1
## 13 Expt1
## 14 Expt1
## 15 Expt1
## 16 Expt1
## 17 Expt1
##
## RCBD_g> ARCBD2$plotNumber
## V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17 V18
## [1,] 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518
## [2,] 500 499 498 497 496 495 494 493 492 491 490 489 488 487 486 485 484 483
## [3,] 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468
## [4,] 450 449 448 447 446 445 444 443 442 441 440 439 438 437 436 435 434 433
## [5,] 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418
## [6,] 400 399 398 397 396 395 394 393 392 391 390 389 388 387 386 385 384 383
## [7,] 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368
## [8,] 350 349 348 347 346 345 344 343 342 341 340 339 338 337 336 335 334 333
## [9,] 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318
## [10,] 300 299 298 297 296 295 294 293 292 291 290 289 288 287 286 285 284 283
## [11,] 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268
## [12,] 250 249 248 247 246 245 244 243 242 241 240 239 238 237 236 235 234 233
## [13,] 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218
## [14,] 200 199 198 197 196 195 194 193 192 191 190 189 188 187 186 185 184 183
## [15,] 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168
## [16,] 150 149 148 147 146 145 144 143 142 141 140 139 138 137 136 135 134 133
## [17,] 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118
## V19 V20 V21 V22 V23 V24 V25
## [1,] 0 0 0 0 0 0 0
## [2,] 482 481 480 479 478 477 476
## [3,] 469 470 471 472 473 474 475
## [4,] 432 431 430 429 428 427 426
## [5,] 419 420 421 422 423 424 425
## [6,] 382 381 380 379 378 377 376
## [7,] 369 370 371 372 373 374 375
## [8,] 332 331 330 329 328 327 326
## [9,] 319 320 321 322 323 324 325
## [10,] 282 281 280 279 278 277 276
## [11,] 269 270 271 272 273 274 275
## [12,] 232 231 230 229 228 227 226
## [13,] 219 220 221 222 223 224 225
## [14,] 182 181 180 179 178 177 176
## [15,] 169 170 171 172 173 174 175
## [16,] 132 131 130 129 128 127 126
## [17,] 119 120 121 122 123 124 125
##
## RCBD_g> head(ARCBD2$fieldBook, 12)
## ID EXPT LOCATION YEAR PLOT ROW COLUMN CHECKS BLOCK ENTRY TREATMENT
## 1 1 Expt1 A 2024 101 1 1 0 1 345 G345
## 2 2 Expt1 A 2024 102 1 2 0 1 130 G130
## 3 3 Expt1 A 2024 103 1 3 1 1 4 CH4
## 4 4 Expt1 A 2024 104 1 4 0 1 162 G162
## 5 5 Expt1 A 2024 105 1 5 1 1 1 CH1
## 6 6 Expt1 A 2024 106 1 6 0 1 123 G123
## 7 7 Expt1 A 2024 107 1 7 1 1 2 CH2
## 8 8 Expt1 A 2024 108 1 8 0 1 39 G39
## 9 9 Expt1 A 2024 109 1 9 0 1 9 G9
## 10 10 Expt1 A 2024 110 1 10 0 1 302 G302
## 11 11 Expt1 A 2024 111 1 11 0 1 210 G210
## 12 12 Expt1 A 2024 112 1 12 0 1 352 G352
p <- full_control_positions(plt$field_book[plt$field_book$LOCATION == "A",], "COLUMN", "ROW", factor_name = "TREATMENT", label = "TREATMENT") + guides(fill = "none")## ID EXPT LOCATION YEAR PLOT ROW COLUMN CHECKS BLOCK ENTRY TREATMENT
## 1 1 Expt1 A 2024 101 1 1 0 1 345 G345
## 2 2 Expt1 A 2024 102 1 2 0 1 130 G130
## 3 3 Expt1 A 2024 103 1 3 1 1 4 CH4
## 4 4 Expt1 A 2024 104 1 4 0 1 162 G162
## 5 5 Expt1 A 2024 105 1 5 1 1 1 CH1
## 6 6 Expt1 A 2024 106 1 6 0 1 123 G123
## 7 7 Expt1 A 2024 107 1 7 1 1 2 CH2
## 8 8 Expt1 A 2024 108 1 8 0 1 39 G39
## 9 9 Expt1 A 2024 109 1 9 0 1 9 G9
## 10 10 Expt1 A 2024 110 1 10 0 1 302 G302
## 11 11 Expt1 A 2024 111 1 11 0 1 210 G210
## 12 12 Expt1 A 2024 112 1 12 0 1 352 G352
## 13 13 Expt1 A 2024 113 1 13 0 1 138 G138
## 14 14 Expt1 A 2024 114 1 14 0 1 297 G297
## 15 15 Expt1 A 2024 115 1 15 0 1 330 G330
## 16 16 Expt1 A 2024 116 1 16 1 1 3 CH3
## 17 17 Expt1 A 2024 117 1 17 0 1 256 G256
## 18 18 Expt1 A 2024 118 1 18 0 1 90 G90
## 19 19 Expt1 A 2024 119 1 19 0 1 184 G184
## 20 20 Expt1 A 2024 120 1 20 0 1 196 G196
## 21 21 Expt1 A 2024 121 1 21 0 1 218 G218
## 22 22 Expt1 A 2024 122 1 22 0 1 344 G344
## 23 23 Expt1 A 2024 123 1 23 0 1 299 G299
## 24 24 Expt1 A 2024 124 1 24 0 1 182 G182
## 25 25 Expt1 A 2024 125 1 25 0 1 112 G112
## 26 26 Expt1 A 2024 126 2 25 0 2 8 G8
## 27 27 Expt1 A 2024 127 2 24 0 2 296 G296
## 28 28 Expt1 A 2024 128 2 23 0 2 137 G137
## 29 29 Expt1 A 2024 129 2 22 0 2 204 G204
## 30 30 Expt1 A 2024 130 2 21 0 2 264 G264
## 31 31 Expt1 A 2024 131 2 20 0 2 70 G70
## 32 32 Expt1 A 2024 132 2 19 0 2 326 G326
## 33 33 Expt1 A 2024 133 2 18 1 2 2 CH2
## 34 34 Expt1 A 2024 134 2 17 0 2 287 G287
## 35 35 Expt1 A 2024 135 2 16 0 2 151 G151
## 36 36 Expt1 A 2024 136 2 15 0 2 295 G295
## 37 37 Expt1 A 2024 137 2 14 0 2 48 G48
## 38 38 Expt1 A 2024 138 2 13 1 2 4 CH4
## 39 39 Expt1 A 2024 139 2 12 1 2 3 CH3
## 40 40 Expt1 A 2024 140 2 11 0 2 139 G139
## 41 41 Expt1 A 2024 141 2 10 0 2 224 G224
## 42 42 Expt1 A 2024 142 2 9 0 2 328 G328
## 43 43 Expt1 A 2024 143 2 8 0 2 116 G116
## 44 44 Expt1 A 2024 144 2 7 1 2 1 CH1
## 45 45 Expt1 A 2024 145 2 6 0 2 86 G86
## 46 46 Expt1 A 2024 146 2 5 0 2 298 G298
## 47 47 Expt1 A 2024 147 2 4 0 2 215 G215
## 48 48 Expt1 A 2024 148 2 3 0 2 346 G346
## 49 49 Expt1 A 2024 149 2 2 0 2 347 G347
## 50 50 Expt1 A 2024 150 2 1 0 2 172 G172
## 51 51 Expt1 A 2024 151 3 1 0 3 268 G268
## 52 52 Expt1 A 2024 152 3 2 0 3 209 G209
## 53 53 Expt1 A 2024 153 3 3 1 3 4 CH4
## 54 54 Expt1 A 2024 154 3 4 0 3 185 G185
## 55 55 Expt1 A 2024 155 3 5 0 3 308 G308
## 56 56 Expt1 A 2024 156 3 6 0 3 115 G115
## 57 57 Expt1 A 2024 157 3 7 0 3 81 G81
## 58 58 Expt1 A 2024 158 3 8 0 3 342 G342
## 59 59 Expt1 A 2024 159 3 9 0 3 249 G249
## 60 60 Expt1 A 2024 160 3 10 0 3 258 G258
## 61 61 Expt1 A 2024 161 3 11 0 3 120 G120
## 62 62 Expt1 A 2024 162 3 12 1 3 1 CH1
## 63 63 Expt1 A 2024 163 3 13 1 3 2 CH2
## 64 64 Expt1 A 2024 164 3 14 0 3 294 G294
## 65 65 Expt1 A 2024 165 3 15 0 3 89 G89
## 66 66 Expt1 A 2024 166 3 16 0 3 269 G269
## 67 67 Expt1 A 2024 167 3 17 0 3 29 G29
## 68 68 Expt1 A 2024 168 3 18 0 3 26 G26
## 69 69 Expt1 A 2024 169 3 19 0 3 286 G286
## 70 70 Expt1 A 2024 170 3 20 0 3 290 G290
## 71 71 Expt1 A 2024 171 3 21 0 3 336 G336
## 72 72 Expt1 A 2024 172 3 22 0 3 80 G80
## 73 73 Expt1 A 2024 173 3 23 1 3 3 CH3
## 74 74 Expt1 A 2024 174 3 24 0 3 149 G149
## 75 75 Expt1 A 2024 175 3 25 0 3 312 G312
## 76 76 Expt1 A 2024 176 4 25 0 4 20 G20
## 77 77 Expt1 A 2024 177 4 24 0 4 166 G166
## 78 78 Expt1 A 2024 178 4 23 0 4 354 G354
## 79 79 Expt1 A 2024 179 4 22 0 4 233 G233
## 80 80 Expt1 A 2024 180 4 21 1 4 1 CH1
## 81 81 Expt1 A 2024 181 4 20 0 4 304 G304
## 82 82 Expt1 A 2024 182 4 19 0 4 206 G206
## 83 83 Expt1 A 2024 183 4 18 1 4 4 CH4
## 84 84 Expt1 A 2024 184 4 17 0 4 6 G6
## 85 85 Expt1 A 2024 185 4 16 0 4 301 G301
## 86 86 Expt1 A 2024 186 4 15 0 4 353 G353
## 87 87 Expt1 A 2024 187 4 14 0 4 19 G19
## 88 88 Expt1 A 2024 188 4 13 1 4 3 CH3
## 89 89 Expt1 A 2024 189 4 12 0 4 320 G320
## 90 90 Expt1 A 2024 190 4 11 0 4 94 G94
## 91 91 Expt1 A 2024 191 4 10 0 4 144 G144
## 92 92 Expt1 A 2024 192 4 9 0 4 141 G141
## 93 93 Expt1 A 2024 193 4 8 0 4 271 G271
## 94 94 Expt1 A 2024 194 4 7 0 4 143 G143
## 95 95 Expt1 A 2024 195 4 6 0 4 83 G83
## 96 96 Expt1 A 2024 196 4 5 0 4 161 G161
## 97 97 Expt1 A 2024 197 4 4 0 4 289 G289
## 98 98 Expt1 A 2024 198 4 3 1 4 2 CH2
## 99 99 Expt1 A 2024 199 4 2 0 4 195 G195
## 100 100 Expt1 A 2024 200 4 1 0 4 160 G160
## 101 101 Expt1 A 2024 201 5 1 0 5 234 G234
## 102 102 Expt1 A 2024 202 5 2 0 5 56 G56
## 103 103 Expt1 A 2024 203 5 3 0 5 349 G349
## 104 104 Expt1 A 2024 204 5 4 0 5 288 G288
## 105 105 Expt1 A 2024 205 5 5 0 5 202 G202
## 106 106 Expt1 A 2024 206 5 6 0 5 300 G300
## 107 107 Expt1 A 2024 207 5 7 0 5 79 G79
## 108 108 Expt1 A 2024 208 5 8 0 5 87 G87
## 109 109 Expt1 A 2024 209 5 9 0 5 157 G157
## 110 110 Expt1 A 2024 210 5 10 0 5 64 G64
## 111 111 Expt1 A 2024 211 5 11 0 5 168 G168
## 112 112 Expt1 A 2024 212 5 12 1 5 1 CH1
## 113 113 Expt1 A 2024 213 5 13 1 5 4 CH4
## 114 114 Expt1 A 2024 214 5 14 0 5 220 G220
## 115 115 Expt1 A 2024 215 5 15 0 5 34 G34
## 116 116 Expt1 A 2024 216 5 16 0 5 131 G131
## 117 117 Expt1 A 2024 217 5 17 0 5 262 G262
## 118 118 Expt1 A 2024 218 5 18 1 5 3 CH3
## 119 119 Expt1 A 2024 219 5 19 0 5 180 G180
## 120 120 Expt1 A 2024 220 5 20 0 5 129 G129
## 121 121 Expt1 A 2024 221 5 21 0 5 145 G145
## 122 122 Expt1 A 2024 222 5 22 1 5 2 CH2
## 123 123 Expt1 A 2024 223 5 23 0 5 212 G212
## 124 124 Expt1 A 2024 224 5 24 0 5 91 G91
## 125 125 Expt1 A 2024 225 5 25 0 5 278 G278
## 126 126 Expt1 A 2024 226 6 25 0 6 84 G84
## 127 127 Expt1 A 2024 227 6 24 0 6 334 G334
## 128 128 Expt1 A 2024 228 6 23 0 6 171 G171
## 129 129 Expt1 A 2024 229 6 22 0 6 343 G343
## 130 130 Expt1 A 2024 230 6 21 0 6 280 G280
## 131 131 Expt1 A 2024 231 6 20 0 6 292 G292
## 132 132 Expt1 A 2024 232 6 19 0 6 317 G317
## 133 133 Expt1 A 2024 233 6 18 0 6 51 G51
## 134 134 Expt1 A 2024 234 6 17 0 6 146 G146
## 135 135 Expt1 A 2024 235 6 16 0 6 165 G165
## 136 136 Expt1 A 2024 236 6 15 0 6 41 G41
## 137 137 Expt1 A 2024 237 6 14 0 6 156 G156
## 138 138 Expt1 A 2024 238 6 13 0 6 276 G276
## 139 139 Expt1 A 2024 239 6 12 0 6 240 G240
## 140 140 Expt1 A 2024 240 6 11 1 6 3 CH3
## 141 141 Expt1 A 2024 241 6 10 0 6 285 G285
## 142 142 Expt1 A 2024 242 6 9 0 6 270 G270
## 143 143 Expt1 A 2024 243 6 8 1 6 1 CH1
## 144 144 Expt1 A 2024 244 6 7 1 6 4 CH4
## 145 145 Expt1 A 2024 245 6 6 1 6 2 CH2
## 146 146 Expt1 A 2024 246 6 5 0 6 274 G274
## 147 147 Expt1 A 2024 247 6 4 0 6 102 G102
## 148 148 Expt1 A 2024 248 6 3 0 6 153 G153
## 149 149 Expt1 A 2024 249 6 2 0 6 75 G75
## 150 150 Expt1 A 2024 250 6 1 0 6 133 G133
## 151 151 Expt1 A 2024 251 7 1 1 7 2 CH2
## 152 152 Expt1 A 2024 252 7 2 0 7 239 G239
## 153 153 Expt1 A 2024 253 7 3 0 7 252 G252
## 154 154 Expt1 A 2024 254 7 4 0 7 213 G213
## 155 155 Expt1 A 2024 255 7 5 0 7 261 G261
## 156 156 Expt1 A 2024 256 7 6 0 7 150 G150
## 157 157 Expt1 A 2024 257 7 7 1 7 3 CH3
## 158 158 Expt1 A 2024 258 7 8 0 7 266 G266
## 159 159 Expt1 A 2024 259 7 9 0 7 277 G277
## 160 160 Expt1 A 2024 260 7 10 0 7 307 G307
## 161 161 Expt1 A 2024 261 7 11 1 7 4 CH4
## 162 162 Expt1 A 2024 262 7 12 0 7 95 G95
## 163 163 Expt1 A 2024 263 7 13 0 7 311 G311
## 164 164 Expt1 A 2024 264 7 14 0 7 313 G313
## 165 165 Expt1 A 2024 265 7 15 0 7 60 G60
## 166 166 Expt1 A 2024 266 7 16 0 7 293 G293
## 167 167 Expt1 A 2024 267 7 17 0 7 38 G38
## 168 168 Expt1 A 2024 268 7 18 0 7 59 G59
## 169 169 Expt1 A 2024 269 7 19 0 7 67 G67
## 170 170 Expt1 A 2024 270 7 20 0 7 232 G232
## 171 171 Expt1 A 2024 271 7 21 0 7 134 G134
## 172 172 Expt1 A 2024 272 7 22 1 7 1 CH1
## 173 173 Expt1 A 2024 273 7 23 0 7 178 G178
## 174 174 Expt1 A 2024 274 7 24 0 7 93 G93
## 175 175 Expt1 A 2024 275 7 25 0 7 114 G114
## 176 176 Expt1 A 2024 276 8 25 0 8 351 G351
## 177 177 Expt1 A 2024 277 8 24 0 8 194 G194
## 178 178 Expt1 A 2024 278 8 23 0 8 15 G15
## 179 179 Expt1 A 2024 279 8 22 0 8 183 G183
## 180 180 Expt1 A 2024 280 8 21 0 8 226 G226
## 181 181 Expt1 A 2024 281 8 20 0 8 214 G214
## 182 182 Expt1 A 2024 282 8 19 1 8 3 CH3
## 183 183 Expt1 A 2024 283 8 18 1 8 1 CH1
## 184 184 Expt1 A 2024 284 8 17 1 8 2 CH2
## 185 185 Expt1 A 2024 285 8 16 0 8 121 G121
## 186 186 Expt1 A 2024 286 8 15 0 8 333 G333
## 187 187 Expt1 A 2024 287 8 14 0 8 221 G221
## 188 188 Expt1 A 2024 288 8 13 0 8 135 G135
## 189 189 Expt1 A 2024 289 8 12 0 8 18 G18
## 190 190 Expt1 A 2024 290 8 11 0 8 309 G309
## 191 191 Expt1 A 2024 291 8 10 0 8 174 G174
## 192 192 Expt1 A 2024 292 8 9 0 8 100 G100
## 193 193 Expt1 A 2024 293 8 8 0 8 109 G109
## 194 194 Expt1 A 2024 294 8 7 0 8 71 G71
## 195 195 Expt1 A 2024 295 8 6 0 8 33 G33
## 196 196 Expt1 A 2024 296 8 5 0 8 163 G163
## 197 197 Expt1 A 2024 297 8 4 1 8 4 CH4
## 198 198 Expt1 A 2024 298 8 3 0 8 186 G186
## 199 199 Expt1 A 2024 299 8 2 0 8 321 G321
## 200 200 Expt1 A 2024 300 8 1 0 8 107 G107
## 201 201 Expt1 A 2024 301 9 1 1 9 4 CH4
## 202 202 Expt1 A 2024 302 9 2 1 9 2 CH2
## 203 203 Expt1 A 2024 303 9 3 0 9 25 G25
## 204 204 Expt1 A 2024 304 9 4 0 9 103 G103
## 205 205 Expt1 A 2024 305 9 5 0 9 36 G36
## 206 206 Expt1 A 2024 306 9 6 0 9 155 G155
## 207 207 Expt1 A 2024 307 9 7 0 9 260 G260
## 208 208 Expt1 A 2024 308 9 8 0 9 246 G246
## 209 209 Expt1 A 2024 309 9 9 0 9 189 G189
## 210 210 Expt1 A 2024 310 9 10 0 9 49 G49
## 211 211 Expt1 A 2024 311 9 11 0 9 197 G197
## 212 212 Expt1 A 2024 312 9 12 0 9 284 G284
## 213 213 Expt1 A 2024 313 9 13 0 9 242 G242
## 214 214 Expt1 A 2024 314 9 14 0 9 335 G335
## 215 215 Expt1 A 2024 315 9 15 0 9 217 G217
## 216 216 Expt1 A 2024 316 9 16 0 9 319 G319
## 217 217 Expt1 A 2024 317 9 17 0 9 200 G200
## 218 218 Expt1 A 2024 318 9 18 1 9 3 CH3
## 219 219 Expt1 A 2024 319 9 19 0 9 152 G152
## 220 220 Expt1 A 2024 320 9 20 0 9 97 G97
## 221 221 Expt1 A 2024 321 9 21 0 9 267 G267
## 222 222 Expt1 A 2024 322 9 22 0 9 44 G44
## 223 223 Expt1 A 2024 323 9 23 0 9 275 G275
## 224 224 Expt1 A 2024 324 9 24 0 9 92 G92
## 225 225 Expt1 A 2024 325 9 25 1 9 1 CH1
## 226 226 Expt1 A 2024 326 10 25 0 10 175 G175
## 227 227 Expt1 A 2024 327 10 24 0 10 272 G272
## 228 228 Expt1 A 2024 328 10 23 0 10 10 G10
## 229 229 Expt1 A 2024 329 10 22 0 10 104 G104
## 230 230 Expt1 A 2024 330 10 21 0 10 88 G88
## 231 231 Expt1 A 2024 331 10 20 0 10 181 G181
## 232 232 Expt1 A 2024 332 10 19 0 10 118 G118
## 233 233 Expt1 A 2024 333 10 18 0 10 203 G203
## 234 234 Expt1 A 2024 334 10 17 1 10 2 CH2
## 235 235 Expt1 A 2024 335 10 16 0 10 323 G323
## 236 236 Expt1 A 2024 336 10 15 0 10 227 G227
## 237 237 Expt1 A 2024 337 10 14 1 10 1 CH1
## 238 238 Expt1 A 2024 338 10 13 0 10 348 G348
## 239 239 Expt1 A 2024 339 10 12 0 10 191 G191
## 240 240 Expt1 A 2024 340 10 11 0 10 244 G244
## 241 241 Expt1 A 2024 341 10 10 1 10 4 CH4
## 242 242 Expt1 A 2024 342 10 9 0 10 193 G193
## 243 243 Expt1 A 2024 343 10 8 0 10 177 G177
## 244 244 Expt1 A 2024 344 10 7 0 10 96 G96
## 245 245 Expt1 A 2024 345 10 6 1 10 3 CH3
## 246 246 Expt1 A 2024 346 10 5 0 10 78 G78
## 247 247 Expt1 A 2024 347 10 4 0 10 327 G327
## 248 248 Expt1 A 2024 348 10 3 0 10 338 G338
## 249 249 Expt1 A 2024 349 10 2 0 10 154 G154
## 250 250 Expt1 A 2024 350 10 1 0 10 173 G173
## 251 251 Expt1 A 2024 351 11 1 0 11 110 G110
## 252 252 Expt1 A 2024 352 11 2 0 11 125 G125
## 253 253 Expt1 A 2024 353 11 3 0 11 85 G85
## 254 254 Expt1 A 2024 354 11 4 0 11 332 G332
## 255 255 Expt1 A 2024 355 11 5 0 11 250 G250
## 256 256 Expt1 A 2024 356 11 6 0 11 248 G248
## 257 257 Expt1 A 2024 357 11 7 0 11 265 G265
## 258 258 Expt1 A 2024 358 11 8 0 11 255 G255
## 259 259 Expt1 A 2024 359 11 9 1 11 2 CH2
## 260 260 Expt1 A 2024 360 11 10 0 11 251 G251
## 261 261 Expt1 A 2024 361 11 11 0 11 52 G52
## 262 262 Expt1 A 2024 362 11 12 0 11 42 G42
## 263 263 Expt1 A 2024 363 11 13 0 11 236 G236
## 264 264 Expt1 A 2024 364 11 14 0 11 35 G35
## 265 265 Expt1 A 2024 365 11 15 1 11 1 CH1
## 266 266 Expt1 A 2024 366 11 16 0 11 216 G216
## 267 267 Expt1 A 2024 367 11 17 0 11 61 G61
## 268 268 Expt1 A 2024 368 11 18 1 11 3 CH3
## 269 269 Expt1 A 2024 369 11 19 1 11 4 CH4
## 270 270 Expt1 A 2024 370 11 20 0 11 230 G230
## 271 271 Expt1 A 2024 371 11 21 0 11 69 G69
## 272 272 Expt1 A 2024 372 11 22 0 11 245 G245
## 273 273 Expt1 A 2024 373 11 23 0 11 339 G339
## 274 274 Expt1 A 2024 374 11 24 0 11 98 G98
## 275 275 Expt1 A 2024 375 11 25 0 11 14 G14
## 276 276 Expt1 A 2024 376 12 25 0 12 254 G254
## 277 277 Expt1 A 2024 377 12 24 0 12 127 G127
## 278 278 Expt1 A 2024 378 12 23 0 12 106 G106
## 279 279 Expt1 A 2024 379 12 22 1 12 4 CH4
## 280 280 Expt1 A 2024 380 12 21 0 12 303 G303
## 281 281 Expt1 A 2024 381 12 20 1 12 3 CH3
## 282 282 Expt1 A 2024 382 12 19 0 12 21 G21
## 283 283 Expt1 A 2024 383 12 18 0 12 241 G241
## 284 284 Expt1 A 2024 384 12 17 0 12 243 G243
## 285 285 Expt1 A 2024 385 12 16 0 12 27 G27
## 286 286 Expt1 A 2024 386 12 15 1 12 1 CH1
## 287 287 Expt1 A 2024 387 12 14 0 12 32 G32
## 288 288 Expt1 A 2024 388 12 13 0 12 31 G31
## 289 289 Expt1 A 2024 389 12 12 0 12 273 G273
## 290 290 Expt1 A 2024 390 12 11 0 12 105 G105
## 291 291 Expt1 A 2024 391 12 10 0 12 58 G58
## 292 292 Expt1 A 2024 392 12 9 0 12 179 G179
## 293 293 Expt1 A 2024 393 12 8 0 12 124 G124
## 294 294 Expt1 A 2024 394 12 7 0 12 247 G247
## 295 295 Expt1 A 2024 395 12 6 1 12 2 CH2
## 296 296 Expt1 A 2024 396 12 5 0 12 315 G315
## 297 297 Expt1 A 2024 397 12 4 0 12 324 G324
## 298 298 Expt1 A 2024 398 12 3 0 12 192 G192
## 299 299 Expt1 A 2024 399 12 2 0 12 205 G205
## 300 300 Expt1 A 2024 400 12 1 0 12 282 G282
## 301 301 Expt1 A 2024 401 13 1 0 13 253 G253
## 302 302 Expt1 A 2024 402 13 2 1 13 2 CH2
## 303 303 Expt1 A 2024 403 13 3 0 13 68 G68
## 304 304 Expt1 A 2024 404 13 4 0 13 113 G113
## 305 305 Expt1 A 2024 405 13 5 0 13 13 G13
## 306 306 Expt1 A 2024 406 13 6 0 13 279 G279
## 307 307 Expt1 A 2024 407 13 7 0 13 47 G47
## 308 308 Expt1 A 2024 408 13 8 0 13 57 G57
## 309 309 Expt1 A 2024 409 13 9 1 13 4 CH4
## 310 310 Expt1 A 2024 410 13 10 0 13 132 G132
## 311 311 Expt1 A 2024 411 13 11 1 13 3 CH3
## 312 312 Expt1 A 2024 412 13 12 0 13 167 G167
## 313 313 Expt1 A 2024 413 13 13 0 13 159 G159
## 314 314 Expt1 A 2024 414 13 14 0 13 23 G23
## 315 315 Expt1 A 2024 415 13 15 1 13 1 CH1
## 316 316 Expt1 A 2024 416 13 16 0 13 148 G148
## 317 317 Expt1 A 2024 417 13 17 0 13 117 G117
## 318 318 Expt1 A 2024 418 13 18 0 13 201 G201
## 319 319 Expt1 A 2024 419 13 19 0 13 28 G28
## 320 320 Expt1 A 2024 420 13 20 0 13 11 G11
## 321 321 Expt1 A 2024 421 13 21 0 13 119 G119
## 322 322 Expt1 A 2024 422 13 22 0 13 190 G190
## 323 323 Expt1 A 2024 423 13 23 0 13 73 G73
## 324 324 Expt1 A 2024 424 13 24 0 13 72 G72
## 325 325 Expt1 A 2024 425 13 25 0 13 99 G99
## 326 326 Expt1 A 2024 426 14 25 0 14 223 G223
## 327 327 Expt1 A 2024 427 14 24 0 14 158 G158
## 328 328 Expt1 A 2024 428 14 23 1 14 3 CH3
## 329 329 Expt1 A 2024 429 14 22 0 14 46 G46
## 330 330 Expt1 A 2024 430 14 21 0 14 164 G164
## 331 331 Expt1 A 2024 431 14 20 1 14 4 CH4
## 332 332 Expt1 A 2024 432 14 19 1 14 1 CH1
## 333 333 Expt1 A 2024 433 14 18 0 14 199 G199
## 334 334 Expt1 A 2024 434 14 17 1 14 2 CH2
## 335 335 Expt1 A 2024 435 14 16 0 14 5 G5
## 336 336 Expt1 A 2024 436 14 15 0 14 310 G310
## 337 337 Expt1 A 2024 437 14 14 0 14 136 G136
## 338 338 Expt1 A 2024 438 14 13 0 14 7 G7
## 339 339 Expt1 A 2024 439 14 12 0 14 211 G211
## 340 340 Expt1 A 2024 440 14 11 0 14 53 G53
## 341 341 Expt1 A 2024 441 14 10 0 14 142 G142
## 342 342 Expt1 A 2024 442 14 9 0 14 283 G283
## 343 343 Expt1 A 2024 443 14 8 0 14 228 G228
## 344 344 Expt1 A 2024 444 14 7 0 14 82 G82
## 345 345 Expt1 A 2024 445 14 6 0 14 322 G322
## 346 346 Expt1 A 2024 446 14 5 0 14 140 G140
## 347 347 Expt1 A 2024 447 14 4 0 14 40 G40
## 348 348 Expt1 A 2024 448 14 3 0 14 62 G62
## 349 349 Expt1 A 2024 449 14 2 0 14 45 G45
## 350 350 Expt1 A 2024 450 14 1 0 14 63 G63
## 351 351 Expt1 A 2024 451 15 1 0 15 229 G229
## 352 352 Expt1 A 2024 452 15 2 0 15 231 G231
## 353 353 Expt1 A 2024 453 15 3 0 15 54 G54
## 354 354 Expt1 A 2024 454 15 4 1 15 3 CH3
## 355 355 Expt1 A 2024 455 15 5 0 15 305 G305
## 356 356 Expt1 A 2024 456 15 6 1 15 4 CH4
## 357 357 Expt1 A 2024 457 15 7 0 15 128 G128
## 358 358 Expt1 A 2024 458 15 8 0 15 50 G50
## 359 359 Expt1 A 2024 459 15 9 0 15 30 G30
## 360 360 Expt1 A 2024 460 15 10 0 15 55 G55
## 361 361 Expt1 A 2024 461 15 11 1 15 1 CH1
## 362 362 Expt1 A 2024 462 15 12 0 15 337 G337
## 363 363 Expt1 A 2024 463 15 13 0 15 24 G24
## 364 364 Expt1 A 2024 464 15 14 0 15 329 G329
## 365 365 Expt1 A 2024 465 15 15 0 15 263 G263
## 366 366 Expt1 A 2024 466 15 16 1 15 2 CH2
## 367 367 Expt1 A 2024 467 15 17 0 15 74 G74
## 368 368 Expt1 A 2024 468 15 18 0 15 108 G108
## 369 369 Expt1 A 2024 469 15 19 0 15 318 G318
## 370 370 Expt1 A 2024 470 15 20 0 15 350 G350
## 371 371 Expt1 A 2024 471 15 21 0 15 147 G147
## 372 372 Expt1 A 2024 472 15 22 0 15 306 G306
## 373 373 Expt1 A 2024 473 15 23 0 15 325 G325
## 374 374 Expt1 A 2024 474 15 24 0 15 37 G37
## 375 375 Expt1 A 2024 475 15 25 0 15 43 G43
## 376 376 Expt1 A 2024 476 16 25 0 16 281 G281
## 377 377 Expt1 A 2024 477 16 24 0 16 65 G65
## 378 378 Expt1 A 2024 478 16 23 0 16 237 G237
## 379 379 Expt1 A 2024 479 16 22 0 16 222 G222
## 380 380 Expt1 A 2024 480 16 21 0 16 169 G169
## 381 381 Expt1 A 2024 481 16 20 0 16 341 G341
## 382 382 Expt1 A 2024 482 16 19 1 16 4 CH4
## 383 383 Expt1 A 2024 483 16 18 0 16 316 G316
## 384 384 Expt1 A 2024 484 16 17 0 16 291 G291
## 385 385 Expt1 A 2024 485 16 16 0 16 111 G111
## 386 386 Expt1 A 2024 486 16 15 0 16 219 G219
## 387 387 Expt1 A 2024 487 16 14 1 16 3 CH3
## 388 388 Expt1 A 2024 488 16 13 0 16 16 G16
## 389 389 Expt1 A 2024 489 16 12 1 16 2 CH2
## 390 390 Expt1 A 2024 490 16 11 0 16 101 G101
## 391 391 Expt1 A 2024 491 16 10 0 16 76 G76
## 392 392 Expt1 A 2024 492 16 9 0 16 188 G188
## 393 393 Expt1 A 2024 493 16 8 0 16 340 G340
## 394 394 Expt1 A 2024 494 16 7 0 16 77 G77
## 395 395 Expt1 A 2024 495 16 6 0 16 235 G235
## 396 396 Expt1 A 2024 496 16 5 0 16 22 G22
## 397 397 Expt1 A 2024 497 16 4 0 16 314 G314
## 398 398 Expt1 A 2024 498 16 3 1 16 1 CH1
## 399 399 Expt1 A 2024 499 16 2 0 16 12 G12
## 400 400 Expt1 A 2024 500 16 1 0 16 17 G17
## 401 401 Expt1 A 2024 0 17 19 NA 17 0 Filler
## 402 402 Expt1 A 2024 0 17 20 NA 17 0 Filler
## 403 403 Expt1 A 2024 0 17 21 NA 17 0 Filler
## 404 404 Expt1 A 2024 0 17 22 NA 17 0 Filler
## 405 405 Expt1 A 2024 0 17 23 NA 17 0 Filler
## 406 406 Expt1 A 2024 0 17 24 NA 17 0 Filler
## 407 407 Expt1 A 2024 0 17 25 NA 17 0 Filler
## 408 408 Expt1 A 2024 501 17 1 0 17 257 G257
## 409 409 Expt1 A 2024 502 17 2 0 17 259 G259
## 410 410 Expt1 A 2024 503 17 3 1 17 1 CH1
## 411 411 Expt1 A 2024 504 17 4 0 17 198 G198
## 412 412 Expt1 A 2024 505 17 5 0 17 331 G331
## 413 413 Expt1 A 2024 506 17 6 0 17 66 G66
## 414 414 Expt1 A 2024 507 17 7 1 17 3 CH3
## 415 415 Expt1 A 2024 508 17 8 0 17 238 G238
## 416 416 Expt1 A 2024 509 17 9 0 17 170 G170
## 417 417 Expt1 A 2024 510 17 10 0 17 176 G176
## 418 418 Expt1 A 2024 511 17 11 0 17 126 G126
## 419 419 Expt1 A 2024 512 17 12 0 17 207 G207
## 420 420 Expt1 A 2024 513 17 13 0 17 225 G225
## 421 421 Expt1 A 2024 514 17 14 0 17 122 G122
## 422 422 Expt1 A 2024 515 17 15 1 17 4 CH4
## 423 423 Expt1 A 2024 516 17 16 0 17 208 G208
## 424 424 Expt1 A 2024 517 17 17 0 17 187 G187
## 425 425 Expt1 A 2024 518 17 18 1 17 2 CH2
# Example 7: Rectangular Lattice Design
##
## rctng_> # Example 1: Generates a rectangular lattice design with 6 full blocks, 4 units per IBlock (k)
## rctng_> # and 20 treatments in one location.
## rctng_> rectangularLattice1 <- rectangular_lattice(t = 20, k = 4, r = 6, l = 1,
## rctng_+ plotNumber = 101,
## rctng_+ locationNames = "FARGO",
## rctng_+ seed = 126)
##
## rctng_> rectangularLattice1$infoDesign
## $Reps
## [1] 6
##
## $iBlocks
## [1] 5
##
## $NumberTreatments
## [1] 20
##
## $NumberLocations
## [1] 1
##
## $Locations
## [1] "FARGO"
##
## $seed
## [1] 126
##
## $lambda
## [1] 0.9473684
##
## $id_design
## [1] 11
##
##
## rctng_> head(rectangularLattice1$fieldBook,12)
## ID LOCATION PLOT REP IBLOCK UNIT ENTRY TREATMENT
## 1 1 FARGO 101 1 1 1 15 G-15
## 2 2 FARGO 102 1 1 2 13 G-13
## 3 3 FARGO 103 1 1 3 12 G-12
## 4 4 FARGO 104 1 1 4 16 G-16
## 5 5 FARGO 105 1 2 1 19 G-19
## 6 6 FARGO 106 1 2 2 17 G-17
## 7 7 FARGO 107 1 2 3 10 G-10
## 8 8 FARGO 108 1 2 4 14 G-14
## 9 9 FARGO 109 1 3 1 11 G-11
## 10 10 FARGO 110 1 3 2 8 G-8
## 11 11 FARGO 111 1 3 3 5 G-5
## 12 12 FARGO 112 1 3 4 20 G-20
##
## rctng_> # Example 2: Generates a rectangular lattice design with 5 full blocks, 7 units per IBlock (k)
## rctng_> # and 56 treatments across 2 locations.
## rctng_> # In this case, we show how to use the option data.
## rctng_> treatments <- paste("ND-", 1:56, sep = "")
##
## rctng_> ENTRY <- 1:56
##
## rctng_> treatment_list <- data.frame(list(ENTRY = ENTRY, TREATMENT = treatments))
##
## rctng_> head(treatment_list)
## ENTRY TREATMENT
## 1 1 ND-1
## 2 2 ND-2
## 3 3 ND-3
## 4 4 ND-4
## 5 5 ND-5
## 6 6 ND-6
##
## rctng_> rectangularLattice2 <- rectangular_lattice(t = 56, k = 7, r = 5, l = 2,
## rctng_+ plotNumber = c(1001,2001),
## rctng_+ locationNames = c("Loc1", "Loc2"),
## rctng_+ seed = 127,
## rctng_+ data = treatment_list)
##
## rctng_> rectangularLattice2$infoDesign
## $Reps
## [1] 5
##
## $iBlocks
## [1] 8
##
## $NumberTreatments
## [1] 56
##
## $NumberLocations
## [1] 2
##
## $Locations
## [1] "LOC1" "LOC2"
##
## $seed
## [1] 127
##
## $lambda
## [1] 0.5454545
##
## $id_design
## [1] 11
##
##
## rctng_> head(rectangularLattice2$fieldBook,12)
## ID LOCATION PLOT REP IBLOCK UNIT ENTRY TREATMENT
## 1 1 LOC1 1001 1 1 1 8 ND-8
## 2 2 LOC1 1002 1 1 2 35 ND-35
## 3 3 LOC1 1003 1 1 3 52 ND-52
## 4 4 LOC1 1004 1 1 4 29 ND-29
## 5 5 LOC1 1005 1 1 5 41 ND-41
## 6 6 LOC1 1006 1 1 6 22 ND-22
## 7 7 LOC1 1007 1 1 7 10 ND-10
## 8 8 LOC1 1008 1 2 1 45 ND-45
## 9 9 LOC1 1009 1 2 2 11 ND-11
## 10 10 LOC1 1010 1 2 3 6 ND-6
## 11 11 LOC1 1011 1 2 4 25 ND-25
## 12 12 LOC1 1012 1 2 5 34 ND-34
p <- full_control_positions(plt$field_book[plt$field_book$LOCATION == "LOC1",], "COLUMN", "ROW", factor_name = "TREATMENT", label = "TREATMENT")## ID LOCATION PLOT ROW COLUMN REP IBLOCK UNIT ENTRY TREATMENT
## 1 1 LOC1 1001 1 1 1 1 1 8 ND-8
## 2 8 LOC1 1002 1 2 1 2 1 45 ND-45
## 3 15 LOC1 1003 1 3 1 3 1 30 ND-30
## 4 22 LOC1 1004 1 4 1 4 1 15 ND-15
## 5 29 LOC1 1005 1 5 1 5 1 2 ND-2
## 6 36 LOC1 1006 1 6 1 6 1 27 ND-27
## 7 43 LOC1 1007 1 7 1 7 1 13 ND-13
## 8 50 LOC1 1008 1 8 1 8 1 14 ND-14
## 9 2 LOC1 1016 2 1 1 1 2 35 ND-35
## 10 9 LOC1 1015 2 2 1 2 2 11 ND-11
## 11 16 LOC1 1014 2 3 1 3 2 39 ND-39
## 12 23 LOC1 1013 2 4 1 4 2 36 ND-36
## 13 30 LOC1 1012 2 5 1 5 2 38 ND-38
## 14 37 LOC1 1011 2 6 1 6 2 42 ND-42
## 15 44 LOC1 1010 2 7 1 7 2 33 ND-33
## 16 51 LOC1 1009 2 8 1 8 2 3 ND-3
## 17 3 LOC1 1017 3 1 1 1 3 52 ND-52
## 18 10 LOC1 1018 3 2 1 2 3 6 ND-6
## 19 17 LOC1 1019 3 3 1 3 3 50 ND-50
## 20 24 LOC1 1020 3 4 1 4 3 5 ND-5
## 21 31 LOC1 1021 3 5 1 5 3 19 ND-19
## 22 38 LOC1 1022 3 6 1 6 3 9 ND-9
## 23 45 LOC1 1023 3 7 1 7 3 43 ND-43
## 24 52 LOC1 1024 3 8 1 8 3 53 ND-53
## 25 4 LOC1 1032 4 1 1 1 4 29 ND-29
## 26 11 LOC1 1031 4 2 1 2 4 25 ND-25
## 27 18 LOC1 1030 4 3 1 3 4 48 ND-48
## 28 25 LOC1 1029 4 4 1 4 4 17 ND-17
## 29 32 LOC1 1028 4 5 1 5 4 31 ND-31
## 30 39 LOC1 1027 4 6 1 6 4 4 ND-4
## 31 46 LOC1 1026 4 7 1 7 4 20 ND-20
## 32 53 LOC1 1025 4 8 1 8 4 47 ND-47
## 33 5 LOC1 1033 5 1 1 1 5 41 ND-41
## 34 12 LOC1 1034 5 2 1 2 5 34 ND-34
## 35 19 LOC1 1035 5 3 1 3 5 12 ND-12
## 36 26 LOC1 1036 5 4 1 4 5 46 ND-46
## 37 33 LOC1 1037 5 5 1 5 5 16 ND-16
## 38 40 LOC1 1038 5 6 1 6 5 37 ND-37
## 39 47 LOC1 1039 5 7 1 7 5 54 ND-54
## 40 54 LOC1 1040 5 8 1 8 5 18 ND-18
## 41 6 LOC1 1048 6 1 1 1 6 22 ND-22
## 42 13 LOC1 1047 6 2 1 2 6 24 ND-24
## 43 20 LOC1 1046 6 3 1 3 6 21 ND-21
## 44 27 LOC1 1045 6 4 1 4 6 32 ND-32
## 45 34 LOC1 1044 6 5 1 5 6 49 ND-49
## 46 41 LOC1 1043 6 6 1 6 6 56 ND-56
## 47 48 LOC1 1042 6 7 1 7 6 7 ND-7
## 48 55 LOC1 1041 6 8 1 8 6 40 ND-40
## 49 7 LOC1 1049 7 1 1 1 7 10 ND-10
## 50 14 LOC1 1050 7 2 1 2 7 55 ND-55
## 51 21 LOC1 1051 7 3 1 3 7 1 ND-1
## 52 28 LOC1 1052 7 4 1 4 7 51 ND-51
## 53 35 LOC1 1053 7 5 1 5 7 44 ND-44
## 54 42 LOC1 1054 7 6 1 6 7 23 ND-23
## 55 49 LOC1 1055 7 7 1 7 7 26 ND-26
## 56 56 LOC1 1056 7 8 1 8 7 28 ND-28
## 57 57 LOC1 1108 8 1 2 1 1 53 ND-53
## 58 64 LOC1 1107 8 2 2 2 1 19 ND-19
## 59 71 LOC1 1106 8 3 2 3 1 49 ND-49
## 60 78 LOC1 1105 8 4 2 4 1 50 ND-50
## 61 85 LOC1 1104 8 5 2 5 1 12 ND-12
## 62 92 LOC1 1103 8 6 2 6 1 16 ND-16
## 63 99 LOC1 1102 8 7 2 7 1 30 ND-30
## 64 106 LOC1 1101 8 8 2 8 1 55 ND-55
## 65 58 LOC1 1109 9 1 2 1 2 45 ND-45
## 66 65 LOC1 1110 9 2 2 2 2 11 ND-11
## 67 72 LOC1 1111 9 3 2 3 2 41 ND-41
## 68 79 LOC1 1112 9 4 2 4 2 2 ND-2
## 69 86 LOC1 1113 9 5 2 5 2 4 ND-4
## 70 93 LOC1 1114 9 6 2 6 2 32 ND-32
## 71 100 LOC1 1115 9 7 2 7 2 38 ND-38
## 72 107 LOC1 1116 9 8 2 8 2 15 ND-15
## 73 59 LOC1 1124 10 1 2 1 3 21 ND-21
## 74 66 LOC1 1123 10 2 2 2 3 51 ND-51
## 75 73 LOC1 1122 10 3 2 3 3 25 ND-25
## 76 80 LOC1 1121 10 4 2 4 3 42 ND-42
## 77 87 LOC1 1120 10 5 2 5 3 36 ND-36
## 78 94 LOC1 1119 10 6 2 6 3 48 ND-48
## 79 101 LOC1 1118 10 7 2 7 3 46 ND-46
## 80 108 LOC1 1117 10 8 2 8 3 23 ND-23
## 81 60 LOC1 1125 11 1 2 1 4 29 ND-29
## 82 67 LOC1 1126 11 2 2 2 4 35 ND-35
## 83 74 LOC1 1127 11 3 2 3 4 17 ND-17
## 84 81 LOC1 1128 11 4 2 4 4 26 ND-26
## 85 88 LOC1 1129 11 5 2 5 4 52 ND-52
## 86 95 LOC1 1130 11 6 2 6 4 8 ND-8
## 87 102 LOC1 1131 11 7 2 7 4 14 ND-14
## 88 109 LOC1 1132 11 8 2 8 4 47 ND-47
## 89 61 LOC1 1140 12 1 2 1 5 37 ND-37
## 90 68 LOC1 1139 12 2 2 2 5 3 ND-3
## 91 75 LOC1 1138 12 3 2 3 5 9 ND-9
## 92 82 LOC1 1137 12 4 2 4 5 10 ND-10
## 93 89 LOC1 1136 12 5 2 5 5 20 ND-20
## 94 96 LOC1 1135 12 6 2 6 5 24 ND-24
## 95 103 LOC1 1134 12 7 2 7 5 54 ND-54
## 96 110 LOC1 1133 12 8 2 8 5 39 ND-39
## 97 62 LOC1 1141 13 1 2 1 6 5 ND-5
## 98 69 LOC1 1142 13 2 2 2 6 27 ND-27
## 99 76 LOC1 1143 13 3 2 3 6 1 ND-1
## 100 83 LOC1 1144 13 4 2 4 6 18 ND-18
## 101 90 LOC1 1145 13 5 2 5 6 28 ND-28
## 102 97 LOC1 1146 13 6 2 6 6 40 ND-40
## 103 104 LOC1 1147 13 7 2 7 6 22 ND-22
## 104 111 LOC1 1148 13 8 2 8 6 31 ND-31
## 105 63 LOC1 1156 14 1 2 1 7 13 ND-13
## 106 70 LOC1 1155 14 2 2 2 7 43 ND-43
## 107 77 LOC1 1154 14 3 2 3 7 33 ND-33
## 108 84 LOC1 1153 14 4 2 4 7 34 ND-34
## 109 91 LOC1 1152 14 5 2 5 7 44 ND-44
## 110 98 LOC1 1151 14 6 2 6 7 56 ND-56
## 111 105 LOC1 1150 14 7 2 7 7 6 ND-6
## 112 112 LOC1 1149 14 8 2 8 7 7 ND-7
## 113 113 LOC1 1201 15 1 3 1 1 44 ND-44
## 114 120 LOC1 1202 15 2 3 2 1 7 ND-7
## 115 127 LOC1 1203 15 3 3 3 1 29 ND-29
## 116 134 LOC1 1204 15 4 3 4 1 14 ND-14
## 117 141 LOC1 1205 15 5 3 5 1 30 ND-30
## 118 148 LOC1 1206 15 6 3 6 1 19 ND-19
## 119 155 LOC1 1207 15 7 3 7 1 22 ND-22
## 120 162 LOC1 1208 15 8 3 8 1 46 ND-46
## 121 114 LOC1 1216 16 1 3 1 2 23 ND-23
## 122 121 LOC1 1215 16 2 3 2 2 21 ND-21
## 123 128 LOC1 1214 16 3 3 3 2 56 ND-56
## 124 135 LOC1 1213 16 4 3 4 2 4 ND-4
## 125 142 LOC1 1212 16 5 3 5 2 49 ND-49
## 126 149 LOC1 1211 16 6 3 6 2 42 ND-42
## 127 156 LOC1 1210 16 7 3 7 2 3 ND-3
## 128 163 LOC1 1209 16 8 3 8 2 13 ND-13
## 129 115 LOC1 1217 17 1 3 1 3 10 ND-10
## 130 122 LOC1 1218 17 2 3 2 3 16 ND-16
## 131 129 LOC1 1219 17 3 3 3 3 47 ND-47
## 132 136 LOC1 1220 17 4 3 4 3 31 ND-31
## 133 143 LOC1 1221 17 5 3 5 3 8 ND-8
## 134 150 LOC1 1222 17 6 3 6 3 33 ND-33
## 135 157 LOC1 1223 17 7 3 7 3 55 ND-55
## 136 164 LOC1 1224 17 8 3 8 3 24 ND-24
## 137 116 LOC1 1232 18 1 3 1 4 40 ND-40
## 138 123 LOC1 1231 18 2 3 2 4 34 ND-34
## 139 130 LOC1 1230 18 3 3 3 4 11 ND-11
## 140 137 LOC1 1229 18 4 3 4 4 35 ND-35
## 141 144 LOC1 1228 18 5 3 5 4 43 ND-43
## 142 151 LOC1 1227 18 6 3 6 4 12 ND-12
## 143 158 LOC1 1226 18 7 3 7 4 48 ND-48
## 144 165 LOC1 1225 18 8 3 8 4 52 ND-52
## 145 117 LOC1 1233 19 1 3 1 5 25 ND-25
## 146 124 LOC1 1234 19 2 3 2 5 51 ND-51
## 147 131 LOC1 1235 19 3 3 3 5 1 ND-1
## 148 138 LOC1 1236 19 4 3 4 5 50 ND-50
## 149 145 LOC1 1237 19 5 3 5 5 18 ND-18
## 150 152 LOC1 1238 19 6 3 6 5 6 ND-6
## 151 159 LOC1 1239 19 7 3 7 5 36 ND-36
## 152 166 LOC1 1240 19 8 3 8 5 39 ND-39
## 153 118 LOC1 1248 20 1 3 1 6 54 ND-54
## 154 125 LOC1 1247 20 2 3 2 6 28 ND-28
## 155 132 LOC1 1246 20 3 3 3 6 20 ND-20
## 156 139 LOC1 1245 20 4 3 4 6 45 ND-45
## 157 146 LOC1 1244 20 5 3 5 6 15 ND-15
## 158 153 LOC1 1243 20 6 3 6 6 32 ND-32
## 159 160 LOC1 1242 20 7 3 7 6 26 ND-26
## 160 167 LOC1 1241 20 8 3 8 6 27 ND-27
## 161 119 LOC1 1249 21 1 3 1 7 5 ND-5
## 162 126 LOC1 1250 21 2 3 2 7 41 ND-41
## 163 133 LOC1 1251 21 3 3 3 7 38 ND-38
## 164 140 LOC1 1252 21 4 3 4 7 17 ND-17
## 165 147 LOC1 1253 21 5 3 5 7 37 ND-37
## 166 154 LOC1 1254 21 6 3 6 7 53 ND-53
## 167 161 LOC1 1255 21 7 3 7 7 9 ND-9
## 168 168 LOC1 1256 21 8 3 8 7 2 ND-2
## 169 169 LOC1 1308 22 1 4 1 1 35 ND-35
## 170 176 LOC1 1307 22 2 4 2 1 50 ND-50
## 171 183 LOC1 1306 22 3 4 3 1 12 ND-12
## 172 190 LOC1 1305 22 4 4 4 1 4 ND-4
## 173 197 LOC1 1304 22 5 4 5 1 24 ND-24
## 174 204 LOC1 1303 22 6 4 6 1 18 ND-18
## 175 211 LOC1 1302 22 7 4 7 1 34 ND-34
## 176 218 LOC1 1301 22 8 4 8 1 55 ND-55
## 177 170 LOC1 1309 23 1 4 1 2 9 ND-9
## 178 177 LOC1 1310 23 2 4 2 2 15 ND-15
## 179 184 LOC1 1311 23 3 4 3 2 26 ND-26
## 180 191 LOC1 1312 23 4 4 4 2 39 ND-39
## 181 198 LOC1 1313 23 5 4 5 2 49 ND-49
## 182 205 LOC1 1314 23 6 4 6 2 48 ND-48
## 183 212 LOC1 1315 23 7 4 7 2 56 ND-56
## 184 219 LOC1 1316 23 8 4 8 2 19 ND-19
## 185 171 LOC1 1324 24 1 4 1 3 32 ND-32
## 186 178 LOC1 1323 24 2 4 2 3 20 ND-20
## 187 185 LOC1 1322 24 3 4 3 3 45 ND-45
## 188 192 LOC1 1321 24 4 4 4 3 22 ND-22
## 189 199 LOC1 1320 24 5 4 5 3 42 ND-42
## 190 206 LOC1 1319 24 6 4 6 3 11 ND-11
## 191 213 LOC1 1318 24 7 4 7 3 17 ND-17
## 192 220 LOC1 1317 24 8 4 8 3 10 ND-10
## 193 172 LOC1 1325 25 1 4 1 4 54 ND-54
## 194 179 LOC1 1326 25 2 4 2 4 40 ND-40
## 195 186 LOC1 1327 25 3 4 3 4 51 ND-51
## 196 193 LOC1 1328 25 4 4 4 4 25 ND-25
## 197 200 LOC1 1329 25 5 4 5 4 7 ND-7
## 198 207 LOC1 1330 25 6 4 6 4 33 ND-33
## 199 214 LOC1 1331 25 7 4 7 4 13 ND-13
## 200 221 LOC1 1332 25 8 4 8 4 46 ND-46
## 201 173 LOC1 1340 26 1 4 1 5 2 ND-2
## 202 180 LOC1 1339 26 2 4 2 5 27 ND-27
## 203 187 LOC1 1338 26 3 4 3 5 8 ND-8
## 204 194 LOC1 1337 26 4 4 4 5 43 ND-43
## 205 201 LOC1 1336 26 5 4 5 5 29 ND-29
## 206 208 LOC1 1335 26 6 4 6 5 52 ND-52
## 207 215 LOC1 1334 26 7 4 7 5 44 ND-44
## 208 222 LOC1 1333 26 8 4 8 5 28 ND-28
## 209 174 LOC1 1341 27 1 4 1 6 21 ND-21
## 210 181 LOC1 1342 27 2 4 2 6 6 ND-6
## 211 188 LOC1 1343 27 3 4 3 6 38 ND-38
## 212 195 LOC1 1344 27 4 4 4 6 53 ND-53
## 213 202 LOC1 1345 27 5 4 5 6 14 ND-14
## 214 209 LOC1 1346 27 6 4 6 6 31 ND-31
## 215 216 LOC1 1347 27 7 4 7 6 3 ND-3
## 216 223 LOC1 1348 27 8 4 8 6 1 ND-1
## 217 175 LOC1 1356 28 1 4 1 7 47 ND-47
## 218 182 LOC1 1355 28 2 4 2 7 41 ND-41
## 219 189 LOC1 1354 28 3 4 3 7 23 ND-23
## 220 196 LOC1 1353 28 4 4 4 7 16 ND-16
## 221 203 LOC1 1352 28 5 4 5 7 36 ND-36
## 222 210 LOC1 1351 28 6 4 6 7 5 ND-5
## 223 217 LOC1 1350 28 7 4 7 7 30 ND-30
## 224 224 LOC1 1349 28 8 4 8 7 37 ND-37
## 225 225 LOC1 1401 29 1 5 1 1 37 ND-37
## 226 232 LOC1 1402 29 2 5 2 1 23 ND-23
## 227 239 LOC1 1403 29 3 5 3 1 49 ND-49
## 228 246 LOC1 1404 29 4 5 4 1 38 ND-38
## 229 253 LOC1 1405 29 5 5 5 1 8 ND-8
## 230 260 LOC1 1406 29 6 5 6 1 13 ND-13
## 231 267 LOC1 1407 29 7 5 7 1 18 ND-18
## 232 274 LOC1 1408 29 8 5 8 1 34 ND-34
## 233 226 LOC1 1416 30 1 5 1 2 17 ND-17
## 234 233 LOC1 1415 30 2 5 2 2 2 ND-2
## 235 240 LOC1 1414 30 3 5 3 2 3 ND-3
## 236 247 LOC1 1413 30 4 5 4 2 24 ND-24
## 237 254 LOC1 1412 30 5 5 5 2 21 ND-21
## 238 261 LOC1 1411 30 6 5 6 2 51 ND-51
## 239 268 LOC1 1410 30 7 5 7 2 12 ND-12
## 240 275 LOC1 1409 30 8 5 8 2 29 ND-29
## 241 227 LOC1 1417 31 1 5 1 3 47 ND-47
## 242 234 LOC1 1418 31 2 5 2 3 53 ND-53
## 243 241 LOC1 1419 31 3 5 3 3 10 ND-10
## 244 248 LOC1 1420 31 4 5 4 3 43 ND-43
## 245 255 LOC1 1421 31 5 5 5 3 44 ND-44
## 246 262 LOC1 1422 31 6 5 6 3 1 ND-1
## 247 269 LOC1 1423 31 7 5 7 3 46 ND-46
## 248 276 LOC1 1424 31 8 5 8 3 19 ND-19
## 249 228 LOC1 1432 32 1 5 1 4 16 ND-16
## 250 235 LOC1 1431 32 2 5 2 4 36 ND-36
## 251 242 LOC1 1430 32 3 5 3 4 32 ND-32
## 252 249 LOC1 1429 32 4 5 4 4 50 ND-50
## 253 256 LOC1 1428 32 5 5 5 4 55 ND-55
## 254 263 LOC1 1427 32 6 5 6 4 31 ND-31
## 255 270 LOC1 1426 32 7 5 7 4 25 ND-25
## 256 277 LOC1 1425 32 8 5 8 4 15 ND-15
## 257 229 LOC1 1433 33 1 5 1 5 6 ND-6
## 258 236 LOC1 1434 33 2 5 2 5 41 ND-41
## 259 243 LOC1 1435 33 3 5 3 5 20 ND-20
## 260 250 LOC1 1436 33 4 5 4 5 5 ND-5
## 261 257 LOC1 1437 33 5 5 5 5 14 ND-14
## 262 264 LOC1 1438 33 6 5 6 5 42 ND-42
## 263 271 LOC1 1439 33 7 5 7 5 56 ND-56
## 264 278 LOC1 1440 33 8 5 8 5 4 ND-4
## 265 230 LOC1 1448 34 1 5 1 6 52 ND-52
## 266 237 LOC1 1447 34 2 5 2 6 11 ND-11
## 267 244 LOC1 1446 34 3 5 3 6 39 ND-39
## 268 251 LOC1 1445 34 4 5 4 6 28 ND-28
## 269 258 LOC1 1444 34 5 5 5 6 27 ND-27
## 270 265 LOC1 1443 34 6 5 6 6 22 ND-22
## 271 272 LOC1 1442 34 7 5 7 6 35 ND-35
## 272 279 LOC1 1441 34 8 5 8 6 48 ND-48
## 273 231 LOC1 1449 35 1 5 1 7 26 ND-26
## 274 238 LOC1 1450 35 2 5 2 7 30 ND-30
## 275 245 LOC1 1451 35 3 5 3 7 45 ND-45
## 276 252 LOC1 1452 35 4 5 4 7 9 ND-9
## 277 259 LOC1 1453 35 5 5 5 7 33 ND-33
## 278 266 LOC1 1454 35 6 5 6 7 40 ND-40
## 279 273 LOC1 1455 35 7 5 7 7 7 ND-7
## 280 280 LOC1 1456 35 8 5 8 7 54 ND-54
# Example 8: Strip Plot Design
##
## strp_p> # Example 1: Generates a strip plot design with 5 vertical strips and 4 horizontal strips,
## strp_p> # with 3 reps in one location.
## strp_p> H <- paste("H", 1:4, sep = "")
##
## strp_p> V <- paste("V", 1:5, sep = "")
##
## strp_p> strip1 <- strip_plot(Hplots = H,
## strp_p+ Vplots = V,
## strp_p+ b = 3,
## strp_p+ l = 1,
## strp_p+ plotNumber = 101,
## strp_p+ planter = "serpentine",
## strp_p+ locationNames = "A",
## strp_p+ seed = 333)
##
## strp_p> strip1$infoDesign
## $Hplots
## [1] 4
##
## $Vplots
## [1] 5
##
## $blocks
## [1] 3
##
## $numberLocations
## [1] 1
##
## $nameLocations
## [1] "A"
##
## $seed
## [1] 333
##
## $id_design
## [1] 7
##
##
## strp_p> strip1$stripsBlockLoc
## $Loc_A
## $Loc_A$rep1
## V4 V2 V5 V1 V3
## H2 "H2|V4" "H2|V2" "H2|V5" "H2|V1" "H2|V3"
## H1 "H1|V4" "H1|V2" "H1|V5" "H1|V1" "H1|V3"
## H3 "H3|V4" "H3|V2" "H3|V5" "H3|V1" "H3|V3"
## H4 "H4|V4" "H4|V2" "H4|V5" "H4|V1" "H4|V3"
##
## $Loc_A$rep2
## V1 V3 V4 V2 V5
## H3 "H3|V1" "H3|V3" "H3|V4" "H3|V2" "H3|V5"
## H4 "H4|V1" "H4|V3" "H4|V4" "H4|V2" "H4|V5"
## H2 "H2|V1" "H2|V3" "H2|V4" "H2|V2" "H2|V5"
## H1 "H1|V1" "H1|V3" "H1|V4" "H1|V2" "H1|V5"
##
## $Loc_A$rep3
## V3 V1 V2 V4 V5
## H2 "H2|V3" "H2|V1" "H2|V2" "H2|V4" "H2|V5"
## H1 "H1|V3" "H1|V1" "H1|V2" "H1|V4" "H1|V5"
## H4 "H4|V3" "H4|V1" "H4|V2" "H4|V4" "H4|V5"
## H3 "H3|V3" "H3|V1" "H3|V2" "H3|V4" "H3|V5"
##
##
##
## strp_p> strip1$plotLayouts
## $Loc_A
## $Loc_A$rep1
## [,1] [,2] [,3] [,4] [,5]
## [1,] 101 102 103 104 105
## [2,] 110 109 108 107 106
## [3,] 111 112 113 114 115
## [4,] 120 119 118 117 116
##
## $Loc_A$rep2
## [,1] [,2] [,3] [,4] [,5]
## [1,] 201 202 203 204 205
## [2,] 210 209 208 207 206
## [3,] 211 212 213 214 215
## [4,] 220 219 218 217 216
##
## $Loc_A$rep3
## [,1] [,2] [,3] [,4] [,5]
## [1,] 301 302 303 304 305
## [2,] 310 309 308 307 306
## [3,] 311 312 313 314 315
## [4,] 320 319 318 317 316
##
##
##
## strp_p> head(strip1$fieldBook,12)
## ID LOCATION PLOT REP HSTRIP VSTRIP TRT_COMB
## 1 1 A 101 1 H2 V4 H2|V4
## 2 2 A 102 1 H2 V2 H2|V2
## 3 3 A 103 1 H2 V5 H2|V5
## 4 4 A 104 1 H2 V1 H2|V1
## 5 5 A 105 1 H2 V3 H2|V3
## 6 6 A 110 1 H1 V4 H1|V4
## 7 7 A 109 1 H1 V2 H1|V2
## 8 8 A 108 1 H1 V5 H1|V5
## 9 9 A 107 1 H1 V1 H1|V1
## 10 10 A 106 1 H1 V3 H1|V3
## 11 11 A 111 1 H3 V4 H3|V4
## 12 12 A 112 1 H3 V2 H3|V2
##
## strp_p> # Example 2: Generates a strip plot design with 5 vertical strips and 5 horizontal strips,
## strp_p> # with 6 reps across to 3 locations. In this case, we show how to use the option data.
## strp_p> Hplots <- LETTERS[1:5]
##
## strp_p> Vplots <- LETTERS[1:4]
##
## strp_p> strip_data <- data.frame(list(HPLOTS = Hplots, VPLOTS = c(Vplots, NA)))
##
## strp_p> head(strip_data)
## HPLOTS VPLOTS
## 1 A A
## 2 B B
## 3 C C
## 4 D D
## 5 E <NA>
##
## strp_p> strip2 <- strip_plot(Hplots = 5,
## strp_p+ Vplots = 5,
## strp_p+ b = 6,
## strp_p+ l = 3,
## strp_p+ plotNumber = c(101,1001,2001),
## strp_p+ planter = "cartesian",
## strp_p+ locationNames = c("A", "B", "C"),
## strp_p+ seed = 222,
## strp_p+ data = strip_data)
##
## strp_p> strip2$infoDesign
## $Hplots
## [1] 5
##
## $Vplots
## [1] 4
##
## $blocks
## [1] 6
##
## $numberLocations
## [1] 3
##
## $nameLocations
## [1] "A" "B" "C"
##
## $seed
## [1] 222
##
## $id_design
## [1] 7
##
##
## strp_p> strip2$stripsBlockLoc
## $Loc_A
## $Loc_A$rep1
## D B C A
## E "E|D" "E|B" "E|C" "E|A"
## B "B|D" "B|B" "B|C" "B|A"
## C "C|D" "C|B" "C|C" "C|A"
## D "D|D" "D|B" "D|C" "D|A"
## A "A|D" "A|B" "A|C" "A|A"
##
## $Loc_A$rep2
## D B C A
## A "A|D" "A|B" "A|C" "A|A"
## B "B|D" "B|B" "B|C" "B|A"
## E "E|D" "E|B" "E|C" "E|A"
## D "D|D" "D|B" "D|C" "D|A"
## C "C|D" "C|B" "C|C" "C|A"
##
## $Loc_A$rep3
## A D C B
## A "A|A" "A|D" "A|C" "A|B"
## D "D|A" "D|D" "D|C" "D|B"
## E "E|A" "E|D" "E|C" "E|B"
## B "B|A" "B|D" "B|C" "B|B"
## C "C|A" "C|D" "C|C" "C|B"
##
## $Loc_A$rep4
## A B C D
## A "A|A" "A|B" "A|C" "A|D"
## C "C|A" "C|B" "C|C" "C|D"
## E "E|A" "E|B" "E|C" "E|D"
## B "B|A" "B|B" "B|C" "B|D"
## D "D|A" "D|B" "D|C" "D|D"
##
## $Loc_A$rep5
## A C D B
## B "B|A" "B|C" "B|D" "B|B"
## C "C|A" "C|C" "C|D" "C|B"
## E "E|A" "E|C" "E|D" "E|B"
## A "A|A" "A|C" "A|D" "A|B"
## D "D|A" "D|C" "D|D" "D|B"
##
## $Loc_A$rep6
## B C D A
## D "D|B" "D|C" "D|D" "D|A"
## E "E|B" "E|C" "E|D" "E|A"
## B "B|B" "B|C" "B|D" "B|A"
## C "C|B" "C|C" "C|D" "C|A"
## A "A|B" "A|C" "A|D" "A|A"
##
##
## $Loc_B
## $Loc_B$rep1
## B C D A
## B "B|B" "B|C" "B|D" "B|A"
## D "D|B" "D|C" "D|D" "D|A"
## E "E|B" "E|C" "E|D" "E|A"
## A "A|B" "A|C" "A|D" "A|A"
## C "C|B" "C|C" "C|D" "C|A"
##
## $Loc_B$rep2
## D C A B
## D "D|D" "D|C" "D|A" "D|B"
## A "A|D" "A|C" "A|A" "A|B"
## C "C|D" "C|C" "C|A" "C|B"
## E "E|D" "E|C" "E|A" "E|B"
## B "B|D" "B|C" "B|A" "B|B"
##
## $Loc_B$rep3
## D A C B
## B "B|D" "B|A" "B|C" "B|B"
## E "E|D" "E|A" "E|C" "E|B"
## C "C|D" "C|A" "C|C" "C|B"
## D "D|D" "D|A" "D|C" "D|B"
## A "A|D" "A|A" "A|C" "A|B"
##
## $Loc_B$rep4
## C D A B
## D "D|C" "D|D" "D|A" "D|B"
## C "C|C" "C|D" "C|A" "C|B"
## E "E|C" "E|D" "E|A" "E|B"
## A "A|C" "A|D" "A|A" "A|B"
## B "B|C" "B|D" "B|A" "B|B"
##
## $Loc_B$rep5
## A B D C
## D "D|A" "D|B" "D|D" "D|C"
## C "C|A" "C|B" "C|D" "C|C"
## A "A|A" "A|B" "A|D" "A|C"
## B "B|A" "B|B" "B|D" "B|C"
## E "E|A" "E|B" "E|D" "E|C"
##
## $Loc_B$rep6
## C D B A
## B "B|C" "B|D" "B|B" "B|A"
## D "D|C" "D|D" "D|B" "D|A"
## A "A|C" "A|D" "A|B" "A|A"
## C "C|C" "C|D" "C|B" "C|A"
## E "E|C" "E|D" "E|B" "E|A"
##
##
## $Loc_C
## $Loc_C$rep1
## D A C B
## D "D|D" "D|A" "D|C" "D|B"
## B "B|D" "B|A" "B|C" "B|B"
## E "E|D" "E|A" "E|C" "E|B"
## A "A|D" "A|A" "A|C" "A|B"
## C "C|D" "C|A" "C|C" "C|B"
##
## $Loc_C$rep2
## B C A D
## B "B|B" "B|C" "B|A" "B|D"
## A "A|B" "A|C" "A|A" "A|D"
## D "D|B" "D|C" "D|A" "D|D"
## C "C|B" "C|C" "C|A" "C|D"
## E "E|B" "E|C" "E|A" "E|D"
##
## $Loc_C$rep3
## C D A B
## E "E|C" "E|D" "E|A" "E|B"
## C "C|C" "C|D" "C|A" "C|B"
## D "D|C" "D|D" "D|A" "D|B"
## A "A|C" "A|D" "A|A" "A|B"
## B "B|C" "B|D" "B|A" "B|B"
##
## $Loc_C$rep4
## C D B A
## D "D|C" "D|D" "D|B" "D|A"
## A "A|C" "A|D" "A|B" "A|A"
## B "B|C" "B|D" "B|B" "B|A"
## E "E|C" "E|D" "E|B" "E|A"
## C "C|C" "C|D" "C|B" "C|A"
##
## $Loc_C$rep5
## A B D C
## B "B|A" "B|B" "B|D" "B|C"
## D "D|A" "D|B" "D|D" "D|C"
## A "A|A" "A|B" "A|D" "A|C"
## E "E|A" "E|B" "E|D" "E|C"
## C "C|A" "C|B" "C|D" "C|C"
##
## $Loc_C$rep6
## C D A B
## B "B|C" "B|D" "B|A" "B|B"
## E "E|C" "E|D" "E|A" "E|B"
## A "A|C" "A|D" "A|A" "A|B"
## D "D|C" "D|D" "D|A" "D|B"
## C "C|C" "C|D" "C|A" "C|B"
##
##
##
## strp_p> strip2$plotLayouts
## $Loc_A
## $Loc_A$rep1
## [,1] [,2] [,3] [,4]
## [1,] 101 102 103 104
## [2,] 105 106 107 108
## [3,] 109 110 111 112
## [4,] 113 114 115 116
## [5,] 117 118 119 120
##
## $Loc_A$rep2
## [,1] [,2] [,3] [,4]
## [1,] 201 202 203 204
## [2,] 205 206 207 208
## [3,] 209 210 211 212
## [4,] 213 214 215 216
## [5,] 217 218 219 220
##
## $Loc_A$rep3
## [,1] [,2] [,3] [,4]
## [1,] 301 302 303 304
## [2,] 305 306 307 308
## [3,] 309 310 311 312
## [4,] 313 314 315 316
## [5,] 317 318 319 320
##
## $Loc_A$rep4
## [,1] [,2] [,3] [,4]
## [1,] 401 402 403 404
## [2,] 405 406 407 408
## [3,] 409 410 411 412
## [4,] 413 414 415 416
## [5,] 417 418 419 420
##
## $Loc_A$rep5
## [,1] [,2] [,3] [,4]
## [1,] 501 502 503 504
## [2,] 505 506 507 508
## [3,] 509 510 511 512
## [4,] 513 514 515 516
## [5,] 517 518 519 520
##
## $Loc_A$rep6
## [,1] [,2] [,3] [,4]
## [1,] 601 602 603 604
## [2,] 605 606 607 608
## [3,] 609 610 611 612
## [4,] 613 614 615 616
## [5,] 617 618 619 620
##
##
## $Loc_B
## $Loc_B$rep1
## [,1] [,2] [,3] [,4]
## [1,] 1001 1002 1003 1004
## [2,] 1005 1006 1007 1008
## [3,] 1009 1010 1011 1012
## [4,] 1013 1014 1015 1016
## [5,] 1017 1018 1019 1020
##
## $Loc_B$rep2
## [,1] [,2] [,3] [,4]
## [1,] 1101 1102 1103 1104
## [2,] 1105 1106 1107 1108
## [3,] 1109 1110 1111 1112
## [4,] 1113 1114 1115 1116
## [5,] 1117 1118 1119 1120
##
## $Loc_B$rep3
## [,1] [,2] [,3] [,4]
## [1,] 1201 1202 1203 1204
## [2,] 1205 1206 1207 1208
## [3,] 1209 1210 1211 1212
## [4,] 1213 1214 1215 1216
## [5,] 1217 1218 1219 1220
##
## $Loc_B$rep4
## [,1] [,2] [,3] [,4]
## [1,] 1301 1302 1303 1304
## [2,] 1305 1306 1307 1308
## [3,] 1309 1310 1311 1312
## [4,] 1313 1314 1315 1316
## [5,] 1317 1318 1319 1320
##
## $Loc_B$rep5
## [,1] [,2] [,3] [,4]
## [1,] 1401 1402 1403 1404
## [2,] 1405 1406 1407 1408
## [3,] 1409 1410 1411 1412
## [4,] 1413 1414 1415 1416
## [5,] 1417 1418 1419 1420
##
## $Loc_B$rep6
## [,1] [,2] [,3] [,4]
## [1,] 1501 1502 1503 1504
## [2,] 1505 1506 1507 1508
## [3,] 1509 1510 1511 1512
## [4,] 1513 1514 1515 1516
## [5,] 1517 1518 1519 1520
##
##
## $Loc_C
## $Loc_C$rep1
## [,1] [,2] [,3] [,4]
## [1,] 2001 2002 2003 2004
## [2,] 2005 2006 2007 2008
## [3,] 2009 2010 2011 2012
## [4,] 2013 2014 2015 2016
## [5,] 2017 2018 2019 2020
##
## $Loc_C$rep2
## [,1] [,2] [,3] [,4]
## [1,] 2101 2102 2103 2104
## [2,] 2105 2106 2107 2108
## [3,] 2109 2110 2111 2112
## [4,] 2113 2114 2115 2116
## [5,] 2117 2118 2119 2120
##
## $Loc_C$rep3
## [,1] [,2] [,3] [,4]
## [1,] 2201 2202 2203 2204
## [2,] 2205 2206 2207 2208
## [3,] 2209 2210 2211 2212
## [4,] 2213 2214 2215 2216
## [5,] 2217 2218 2219 2220
##
## $Loc_C$rep4
## [,1] [,2] [,3] [,4]
## [1,] 2301 2302 2303 2304
## [2,] 2305 2306 2307 2308
## [3,] 2309 2310 2311 2312
## [4,] 2313 2314 2315 2316
## [5,] 2317 2318 2319 2320
##
## $Loc_C$rep5
## [,1] [,2] [,3] [,4]
## [1,] 2401 2402 2403 2404
## [2,] 2405 2406 2407 2408
## [3,] 2409 2410 2411 2412
## [4,] 2413 2414 2415 2416
## [5,] 2417 2418 2419 2420
##
## $Loc_C$rep6
## [,1] [,2] [,3] [,4]
## [1,] 2501 2502 2503 2504
## [2,] 2505 2506 2507 2508
## [3,] 2509 2510 2511 2512
## [4,] 2513 2514 2515 2516
## [5,] 2517 2518 2519 2520
##
##
##
## strp_p> head(strip2$fieldBook,12)
## ID LOCATION PLOT REP HSTRIP VSTRIP TRT_COMB
## 1 1 A 101 1 E D E|D
## 2 2 A 102 1 E B E|B
## 3 3 A 103 1 E C E|C
## 4 4 A 104 1 E A E|A
## 5 5 A 105 1 B D B|D
## 6 6 A 106 1 B B B|B
## 7 7 A 107 1 B C B|C
## 8 8 A 108 1 B A B|A
## 9 9 A 109 1 C D C|D
## 10 10 A 110 1 C B C|B
## 11 11 A 111 1 C C C|C
## 12 12 A 112 1 C A C|A