RCBD_augmented {FielDHub}

Generates an Augmented Randomized Complete Block Design (ARCBD)

Description

It randomly generates an augmented randomized complete block design across locations (ARCBD).

Usage

RCBD_augmented(
  lines = NULL,
  checks = NULL,
  b = NULL,
  l = 1,
  planter = "serpentine",
  plotNumber = 101,
  exptName = NULL,
  seed = NULL,
  locationNames = NULL,
  repsExpt = 1,
  random = TRUE,
  data = NULL,
  nrows = NULL,
  ncols = NULL
)

Arguments

lines

Treatments, number of lines for test.

checks

Number of checks per augmented block.

b

Number of augmented blocks.

l

Number of locations. By default l = 1.

planter

Option for serpentine or cartesian arrangement. By default planter = 'serpentine'.

plotNumber

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

exptName

(optional) Name of experiment.

seed

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

locationNames

(optional) Name for each location.

repsExpt

(optional) Number of reps of experiment. By default repsExpt = 1.

random

Logical value to randomize treatments or not. By default random = TRUE.

data

(optional) Data frame with the labels of treatments.

nrows

(optional) Number of rows in the field.

ncols

(optional) Number of columns in the field.

Value

A list with five elements.

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

• layoutRandom is the ARCBD layout randomization for the first location.

• plotNumber is the plot number layout for the first location.

• exptNames is the experiment names layout.

• data_entry is a data frame with the data input.

• fieldBook is a data frame with the ARCBD field book.

Author(s)

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

References

Federer, W. T. (1955). Experimental Design. Theory and Application. New York, USA. The Macmillan Company.

Examples

# Example 1: Generates an ARCBD with 6 blocks, 3 checks for each, and 50 treatments 
# in two locations.
ARCBD1 <- RCBD_augmented(lines = 50, checks = 3, b = 6, l = 2, 
                         planter = "cartesian", 
                         plotNumber = c(1,1001),
                         seed = 23, 
                         locationNames = c("FARGO", "MINOT"))
ARCBD1$infoDesign
ARCBD1$layoutRandom
ARCBD1$exptNames
ARCBD1$plotNumber
head(ARCBD1$fieldBook, 12)
                   
# Example 2: Generates an ARCBD with 17 blocks, 4 checks for each, and 350 treatments 
# in 3 locations.
# In this case, we show how to use the option data.
checks <- 4;
list_checks <- paste("CH", 1:checks, sep = "")
treatments <- paste("G", 5:354, sep = "")
treatment_list <- data.frame(list(ENTRY = 1:354, NAME = c(list_checks, treatments)))
head(treatment_list, 12)
ARCBD2 <- RCBD_augmented(lines = 350, checks = 4, b = 17, l = 3, 
                         planter = "serpentine", 
                         plotNumber = c(101,1001,2001), 
                         seed = 24, 
                         locationNames = LETTERS[1:3],
                         data = treatment_list)
ARCBD2$infoDesign
ARCBD2$layoutRandom
ARCBD2$exptNames
ARCBD2$plotNumber
head(ARCBD2$fieldBook, 12)