FielDHub (version 1.4.2)

alpha_lattice: Generates an Alpha Design

Description

Randomly generates an alpha design like alpha(0,1) across multiple locations.

Usage

alpha_lattice(
  t = NULL,
  k = NULL,
  r = NULL,
  l = 1,
  plotNumber = 101,
  locationNames = NULL,
  seed = NULL,
  data = NULL
)

Value

A list with two elements.

• infoDesign is a list with information on the design parameters.

• fieldBook is a data frame with the alpha design field book.

Arguments

t

Number of treatments.

k

Size of incomplete blocks (number of units per incomplete block).

r

Number of full blocks (or resolvable replicates) (also number of replicates per treatment).

l

Number of locations. By default l = 1.

plotNumber

Numeric vector with the starting plot number for each location. By default plotNumber = 101.

locationNames

(optional) String with names for each of the l locations.

seed

(optional) Real number that specifies the starting seed to obtain reproducible designs.

data

(optional) Data frame with label list of treatments.

Author

Didier Murillo [aut], Salvador Gezan [aut], Ana Heilman [ctb], Thomas Walk [ctb], Johan Aparicio [ctb], Richard Horsley [ctb]

References

Edmondson., R. N. (2021). blocksdesign: Nested and crossed block designs for factorial and unstructured treatment sets. https://CRAN.R-project.org/package=blocksdesign

Examples

# Example 1: Generates an alpha design with 4 full blocks and 15 treatments.
# Size of IBlocks k = 3.
alphalattice1 <- alpha_lattice(t = 15, 
                               k = 3, 
                               r = 4, 
                               l = 1, 
                               plotNumber = 101, 
                               locationNames = "GreenHouse", 
                               seed = 1247)
alphalattice1$infoDesign
head(alphalattice1$fieldBook, 10)

# Example 2: Generates an alpha design with 3 full blocks and 25 treatment.
# Size of IBlocks k = 5. 
# In this case, we show how to use the option data.
treatments <- paste("G-", 1:25, sep = "")
ENTRY <- 1:25
treatment_list <- data.frame(list(ENTRY = ENTRY, TREATMENT = treatments))
head(treatment_list) 
alphalattice2 <- alpha_lattice(t = 25,
                               k = 5,
                               r = 3, 
                               l = 1, 
                               plotNumber = 1001, 
                               locationNames = "A", 
                               seed = 1945,
                               data = treatment_list)
alphalattice2$infoDesign
head(alphalattice2$fieldBook, 10)