Split-plot RCBD experimental design

Generate a split-plot design under a randomized complete block design (RCBD) structure for TARPUY.

Usage

design_split_rcbd(
  nfactors = 2,
  factors,
  type = "split-rcbd",
  rep = 3,
  zigzag = FALSE,
  nrows = NA,
  serie = 1000,
  seed = NULL,
  project = "inkaverse",
  qrcode = "{project}{plots}{factors}"
)

Arguments

nfactors

Number of factors in the experiment. Splitplot-RCBD requires exactly two factors.

factors

Named list with the factor levels. The first factor is the whole-plot factor and the second factor is the subplot factor.

type

Design type. The canonical value is "split-rcbd"; accepted aliases are normalized by normalize_tarpuy_design_type().

rep

Number of replications or blocks.

zigzag

Logical. If TRUE, plot numbering follows a continuous vertical serpentine path through the whole plots and blocks.

nrows

Number of rows in the complete physical layout. The valid Splitplot-RCBD geometry is rep * number_of_subplot_levels; when missing, it is calculated automatically.

serie

Base number used to generate plot identifiers. For example, serie = 1000 generates plots 1001, 1002, ... in block 1 and 2001, 2002, ... in block 2.

seed

Seed used for reproducible randomization. NA or NULL leaves the current random-number state unchanged.

project

Barcode or QR-code prefix.

qrcode

Template used to concatenate QR-code fields. The placeholder {factors} expands to both experimental factors.

Value

A list with fieldbook and parameters.

Details

The first factor is the whole-plot factor and the second factor is the subplot factor. Whole plots are randomized within each block and subplot levels are randomized independently within every whole plot.

Examples

if (FALSE) { # \dontrun{

factors <- list(
  Soil = c("S1", "S2", "S3", "S4"),
  Fertilizer = c("N1", "N2", "N3", "N4", "N5", "N6")
)

design_split_rcbd(
  factors = factors,
  rep = 3,
  zigzag = TRUE,
  seed = 123
)$fieldbook
} # }