Convenience wrapper to optimize a typical multi-plate design — optimize_multi_plate

The batch container will in the end contain the updated experimental layout

optimize_multi_plate_design(
  batch_container,
  across_plates_variables = NULL,
  within_plate_variables = NULL,
  plate = "plate",
  row = "row",
  column = "column",
  n_shuffle = 1,
  max_iter = 1000,
  quiet = FALSE
)

Arguments

batch_container: Batch container (bc) with all columns that denote plate related information
across_plates_variables: Vector with bc column name(s) that denote(s) groups/conditions to be balanced across plates, sorted by relative importance of the factors
within_plate_variables: Vector with bc column name(s) that denote(s) groups/conditions to be spaced out within each plate, sorted by relative importance of the factors
plate: Name of the bc column that holds the plate identifier
row: Name of the bc column that holds the plate row number (integer values starting at 1)
column: Name of the bc column that holds the plate column number (integer values starting at 1)
n_shuffle: Vector of length 1 or larger, defining how many random sample swaps should be performed in each iteration. See optimize_design().
max_iter: Stop any of the optimization runs after this maximum number of iterations. See optimize_design().
quiet: If TRUE, suppress informative messages.

Value

A list with named traces, one for each optimization step