split_split_plot: Generates a Split Split Plot Design

In FielDHub: A Shiny App for Design of Experiments in Life Sciences

Generates a Split Split Plot Design

Description

It randomly generates a split split plot design (SSPD) across locations.

Usage

split_split_plot(
  wp = NULL,
  sp = NULL,
  ssp = NULL,
  reps = NULL,
  type = 2,
  l = 1,
  plotNumber = 101,
  seed = NULL,
  locationNames = NULL,
  factorLabels = TRUE,
  data = NULL
)

Arguments

wp	Number of whole plots, as an integer or a vector.
sp	Number of sub plots per whole plot, as an integer or a vector.
ssp	Number of sub-sub plots, as an integer or a vector.
reps	Number of blocks (full replicates).
type	Option for CRD or RCBD designs. Values are type = 1 (CRD) or type = 2 (RCBD). By default type = 2.
l	Number of locations. By default l = 1.
plotNumber	Numeric vector with the starting plot number for each location. By default plotNumber = 101.
seed	(optional) Real number that specifies the starting seed to obtain reproducible designs.
locationNames	(optional) Names for each location.
factorLabels	(optional) If TRUE retain the levels labels from the original data set otherwise, numeric labels will be assigned. Default is factorLabels =TRUE.
data	(optional) Data frame with label list of treatments.

Value

A list with two elements.

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

• fieldBook is a data frame with the split split plot 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 a split split plot design SSPD with 5 whole plots, 2 sub-plots,
# 3 sub-sub plots, and 3 reps in an RCBD arrangement. This is for one location.
SSPD1 <- split_split_plot(wp = 4, sp = 2, ssp = 3, reps = 5, l = 1, 
                          plotNumber = 101, 
                          seed = 23, 
                          type = 2, 
                          locationNames = "FARGO")
SSPD1$infoDesign
head(SSPD1$fieldBook,12)

# Example 2: Generates a split split plot design SSPD with 2 whole plost 
# (Irrigation, No irrigation), 5 sub plots (4 types of fungicide + one control), and 
# 10 sub-sub plots (Ten varieties of beans), and 4 reps in an RCBD arrangement.
# This is for 3 locations. In this case, we show how to use the option data.
wp <- paste("IRR_", c("NO", "Yes"), sep = "") #Irrigation (2 Whole plots)
sp <- c("NFung", paste("Fung", 1:4, sep = "")) #Fungicides (5 Sub plots)
ssp <- paste("Beans", 1:10, sep = "") #Beans varieties (10 Sub-sub plots)
split_split_plot_Data <- data.frame(list(WHOLPLOT = c(wp, rep(NA, 8)), 
                                         SUBPLOT = c(sp, rep(NA, 5)),
                                         SUB_SUBPLOTS = ssp))
head(split_split_plot_Data, 10)
SSPD2 <- split_split_plot(reps = 4, l = 3, 
                          plotNumber = c(101, 1001, 2001),
                          seed = 23, 
                          type = 2, 
                          locationNames = c("A", "B", "C"),
                          data = split_split_plot_Data)
SSPD2$infoDesign
head(SSPD2$fieldBook,12)
             

FielDHub documentation built on Oct. 20, 2023, 1:07 a.m.