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Calculates an efficiency factor of a design according to Piepho 2015.

Usage

calculate_efficiency_factor(design_df, item)

Arguments

design_df

A data frame containing the experimental design with spatial coordinates

item

A column name of the items in the design (e.g., treatment, variety, genotype, etc)

Value

A numeric value representing the efficiency factor of the design. Higher values indicate more efficient designs.

References

Piepho, H. P., Williams, E., & Michel, V. (2015). Nonresolvable Row-Column Designs with an Even Distribution of Treatment Replications. Journal of Agricultural, Biological, and Environmental Statistics, 21, 227-242 (2016). https://doi.org/10.1007/s13253-015-0241-2

Examples

df_design <- initialise_design_df(c(
  "a", "b", "d", "c",
  "e", "a", "f", "b",
  "c", "f", "e", "d"
), 3, 4)

calculate_efficiency_factor(df_design, "treatment")
#> [1] 0.6268657